Academic literature on the topic 'Social Networks Analisys (SNA)'
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Journal articles on the topic "Social Networks Analisys (SNA)"
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Zusrony, Edwin, Hindriyanto Dwi Purnomo, and Sri Yulianto Joko Prasetyo. "Analisis Pemetaan Jaringan Komunikasi Karyawan Menggunakan Social Network Analysis pada Perusahaan Multifinance." INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 3, no. 2 (2019): 145. http://dx.doi.org/10.29407/intensif.v3i2.12786.
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Business development in the financial services sector improved competition among companies to give the best service to their customers. Having reliable services with a good communication network in the organization is the critical success of the company. This study aims to find the actors or people who influence organizations through formal and informal communication networks using Social Network Analysis (SNA). Information on casual and formal communication networks can be used by the HR department to measure the level of the social relationship of all employees that can improve their performance in the company. The author researched PT. BFI Salatiga. The results showed that tissue density was below 50% so that relationships were considered weak. The most dominant actor in degree centrality, closeness centrality, and betweenness centrality is the actor id#24 and id#29 from the collection division, actor id#27 from the operation division and actor id#30 from the credit division.
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Ramadhan, Fitra. "Pemanfaatan Analisis Jaringan Sosial Dalam Penentuan Centrality Dalam Pengembangan Web Berita Online." Journal of Computer and Information Systems Ampera 1, no. 3 (2020): 157–73. http://dx.doi.org/10.51519/journalcisa.v1i3.43.
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Revolusi digital selama berapa tahun terakhir ini meningkat pesat dan membuat perkembangan pada basis data. Perkembangan data tersebut sering terjadi beredar secara global. Data yang tersebar secara global dapat dikonsumsikan sebagai informasi terutama dalam media sosial. Media sosial Twitter merupakan salah satu media sosial yang sudah banyak digunakan di indonesia, dengan Data percakapan pada Twitter tersebut dapat dimanfaatkan sebagai sarana Informasi atau berita dan dapat juga dianalisis. Dengan penelitian ini memanfaatkan Basis Data pada media sosial twitter pada tweets yang diperoleh melalui API (Application Programming Interface). Dengan basis data tersebut merupakan untuk mewakili jaringan sosial antara pengguna, dan dengan menggunakan metode Social Network Analisys (SNA) karena untuk mencari tahu siapa saja pengguna yang menunjukkan pengaruh paling besar dalam penyebaran berita atau informasi dengan menggunakan suatu kata kunci dengan kata lain kedekatan dan hubungan dalam tweet. Software basis data dan Visualisasi menggunakan Gephi. Dalam menentukan aktor yang paling berpengaruh dalam Hastag #Indonesia dihitung menggunakan Centrality yang terdiri dari degree Centrality, Betweeness Centrality, dan Closeness Centrality. Sampel yang digunakan dalam penelitian ini merupakan sebuah tweet yang didalam mention, retweet, maupun reply interaksi akun tersebut menggunakan #Indonesia. Hasil penelitian ini yaitu terdapat 1064 node (akun) dan terdapat 1261 edges merupakan aktor yang terlibat dalam interaksi. Dalam tersebut ditemukan aktor atau akun yang paling berengaruh dalam jaringan #Indonesia secara keseluruhan adalah akun bernama bob_bay.
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Angiani, Giulio, Paolo Fornacciari, Eleonora Iotti, Monica Mordonini, and Michele Tomaiuolo. "Participation in Online Social Networks." International Journal of Interactive Communication Systems and Technologies 8, no. 2 (2018): 36–55. http://dx.doi.org/10.4018/ijicst.2018070103.
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Why and how more and more people get involved and use social networking systems are critical topics in social network analysis (SNA). As a matter of fact, social networking systems bring online a growing number of acquaintances, for many different purposes. Both business interests and personal recreational goals are motivations for using online social networks (OSN) or other social networking systems. The participation in social networks is a phenomenon which has been studied with several theories, and SNA is useful for common business problems, e.g., launching distributed teams, retaining people with vital knowledge for the organization, improving access to knowledge and spreading ideas and innovation. Nevertheless, there are some difficulties, such as anti-social behaviors of participants, lack of incentives, organizational costs and risks. In this article, a survey of the basic features of SNA, participation theories and models are discussed, with emphasis on social capital, information spreading, motivations for participation, and anti-social behaviors of social network users.
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Davel, Ronel, Adeline S. A. Du Toit, and Martie M. Mearns. "Understanding Knowledge Networks Through Social Network Analysis." International Journal of Knowledge Management 13, no. 2 (2017): 1–17. http://dx.doi.org/10.4018/ijkm.2017040101.
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Social network analysis (SNA) is being increasingly deployed as an instrument to plot knowledge and expertise as well as to confirm the character of connections in informal networks within organisations. This study investigated how the integration of networking into KM can produce significant advantages for organisations. The aim of the research was to examine how the interactions between SNA, Communities of Practice (CoPs) and knowledge maps could potentially influence knowledge networks. The researchers endeavour to illustrate via this question that cultivating synergies between SNA, CoPs and knowledge maps will enable organisations to produce stronger knowledge networks and ultimately increase their social capital. This article intends to present a process map that can be useful when an organisation wants to positively increase its social capital by examining influencing interactions between SNA, CoPs and knowledge maps, thereby enhancing the manner in which they share and create knowledge.
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Hodge, Emily, Joshua Childs, and Wayne Au. "Power, brokers, and agendas: New directions for the use of social network analysis in education policy." education policy analysis archives 28 (August 17, 2020): 117. http://dx.doi.org/10.14507/epaa.28.5874.
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In this special issue, Researching 21st Century Education Policy Through Social Network Analysis, authors use social network analysis (SNA) to explore policy networks, broaden the current literature of sociological approaches to SNA, and/or incorporate new lenses for interpreting policy networks from political science or other academic disciplines. This editorial introduction first provides an overview of policy networks and their relevance in education. Then, the editors describe existing work applying the tools of SNA to education policy and highlight understudied areas before describing the articles included in this issue. These articles apply SNA to a variety of education policy issues, including large scale policies such as the Every Student Succeeds Act and the Common Core State Standards, charter schools, and the relationship between system and non-system actors. Articles highlight multiple applications of SNA, including how SNA can be used to advance theory, as well as describe and predict policy networks.
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Tacheva, Zhasmina, and Natalie Simpson. "Social network analysis in humanitarian logistics research." Journal of Humanitarian Logistics and Supply Chain Management 9, no. 3 (2019): 492–514. http://dx.doi.org/10.1108/jhlscm-06-2018-0047.
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Purpose The purpose of this paper is to promote social network analysis (SNA) methodology within the humanitarian research community, surveying its current state of the art and demonstrating its utility in analyzing humanitarian operations. Design/methodology/approach A comprehensive survey of the related literature motivates a proposed agenda for interested researchers. Analysis of two humanitarian networks in Afghanistan demonstrates the use and utility of SNA, based on secondary data. In the second case study, the use of random graphs to detect network motifs is demonstrated using Monte Carlo simulation to create the benchmark null sets. Findings SNA is an adaptable and highly useful methodology in humanitarian research, quantifying patterns of community structure and collaboration among humanitarian organizations. Network motifs suggesting distinct affinity between particular agencies within humanitarian clusters are observed. Research limitations/implications The authors summarize common challenges of using SNA in humanitarian research and discuss ways to alleviate them. Practical implications Practitioners can use SNA as readily as researchers, to visualize existing networks, identify areas of concern and better communicate observations. Social implications By making SNA more accessible to a humanitarian research audience, the authors hope its ability to capture complex, dynamic relationships will advance understanding of effective humanitarian relief systems. Originality/value To the best of knowledge, it is the first study to conduct a systematic analysis of the application of SNA in empirical humanitarian research and outline a concrete SNA-based research agenda. This is also a currently rare instance of a humanitarian study using random graphs to assess observed SNA measures.
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Rani, Seema, and Monica Mehrotra. "Community Detection in Social Networks: Literature Review." Journal of Information & Knowledge Management 18, no. 02 (2019): 1950019. http://dx.doi.org/10.1142/s0219649219500199.
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Due to easy and cost-effective ways, communication has amplified many folds among humans across the globe irrespective of time and geographic location. This has led to the construction of an enormous and a wide variety of social networks that is a network of social interactions or personal relations. Social network analysis (SNA) is the inspection of social networks in order to understand the participant’s arrangement and behaviour. Discovering communities from the social network has become one of the key research areas in SNA. Communities discovered from social networks facilitate its members so as to interact with relatable people who have similar or comparable interests. However, in present time, the enormous growth of social networks demands an intensive investigation of recent work carried out for identifying community division in social networks. This paper is an attempt to enlighten the ongoing developments in the domain of Community detection (CD) for SNA. Additionally, it sheds light on the algorithms which use meta-heuristic optimisation techniques to hit upon the community structure in social networks. Further, this paper gives a comparison of proposed methods in recent years and most frequently used optimisation approaches in the domain of CD. It also describes some application areas where CD methods have been used. This guides and encourages researchers to probe and take ahead the work in the area of detecting communities from social networks.
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Pinho, José Carlos, and Miguel Linhares Pinheiro. "Social network analysis and the internationalization of SMEs." European Business Review 27, no. 6 (2015): 554–72. http://dx.doi.org/10.1108/ebr-10-2014-0075.
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Purpose – This paper highlights the relevance of using social network analysis (SNA) as a different methodological approach to understand the numerous complex interactions that take place within the internationalization process. Design/methodology/approach – The paper is divided into three major sections: First, it identifies relevant articles on social networks published in appropriate academic journals; second, the process leading to SNA is presented; third, an illustrative case is described to show the relevance of SNA within the context of international business. Findings – Drawing on relevant literature, the authors found that most studies in the field of social networks and internationalization rely on conventional research methods based on qualitative (e.g. multiple case studies) or quantitative studies (e.g. surveys). Without questioning the relevance of these methods, the authors claim that very few studies have used the SNA methodology, which is based on a sociometric approach addressing the interactional dynamics embedded in international relationships. Originality/value – Specifically, this paper attempts to analyze the major advantages and shortcomings of the SNA methodology, which may be useful to understand interactional (or relational) effects associated with an internationalization strategy.
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Mandić, Marin, Davor Škobić, and Goran Martinović. "Clique Comparison and Homophily Detection in Telecom Social Networks." International journal of electrical and computer engineering systems 9, no. 2 (2019): 81–87. http://dx.doi.org/10.32985/ijeces.9.2.5.
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Social Network Analysis (SNA) is based on graph theory and is used for identification of the structure, behavioral patterns and social connectivity of entities. In this paper, SNA is used in the telecom industry in terms of a call detail record referring to phone call data separated into two groups, i.e., domicile network and virtual operator network data. Emphasis was placed on community detection. Comparison was made among communities detected in domicile and virtual operator networks. Results show that in contrast to domicile network, the number of cliques in the virtual operator network is larger. Also, homophily was detected between domicile network and virtual operator network users.
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AYDIN, Nursen. "Social Network Analysis: Literature Review." AJIT-e Online Academic Journal of Information Technology 9, no. 34 (2018): 73–80. http://dx.doi.org/10.5824/1309-1581.2018.4.005.x.
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In this article, social network analysis SNA is defined and historical development process is explained. A comprehensive literature search has been conducted for this purpose. SAA is a powerful method that centralizes individuals and their relations, in that the effect of the individual on the social network can be uncovered and the network of individual groups can be evaluated holistically. SNA shows the structural gaps and social capital in institutions, and focuses managers' attention on critical informal networks. Evaluating strategically important networks within an organization, make "invisible" groups visible in the interaction and allows them to work with key groups to facilitate effective collaboration.
Dissertations / Theses on the topic "Social Networks Analisys (SNA)"
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Palmieri, Bruno Giorgi. "A Análise de redes sociais e a perspectiva geoespacial: um estudo de caso para avaliar a capilaridade do fluxo de informações em redes socioespaciais." Universidade do Estado do Rio de Janeiro, 2011. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=8265.
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A noção de rede social e os métodos em análise em redes sociais (ARS) tem atraído
considerável interesse e curiosidade para a comunidade científica nestas últimas décadas,
assim como a crescente fascinação pública sobre as relações mais complexas da sociedade
moderna. A ARS está baseada na importância de relações entre a interação de unidades.
Numa análise de rede social a observação dos atributos sociais de um ator pode ser entendida
como padrão ou como uma estrutura de relação entre as unidades. Desta forma, quando
empregados a uma perspectiva de rede, é possível estudar os padrões de estruturas relacionais
diretamente, sem referência a atributos dos indivíduos envolvidos. Na análise convencional de
redes sociais a distância geográfica (ou geoespacial) não tem efeito mapeado na rede. Quando
utilizada, esta informação normalmente adquire caráter de um atributo complementar
associado individualmente a cada ator (ou aglomerados de atores) da própria rede. O objetivo
deste trabalho é demonstrar, numa escala local (de maneira mais granular) como o
posicionamento geoespacial dos atores, considerado como elementos da rede, pode desvendar
aspectos significativos do comportamento destes que não seriam revelados em análises
convencionais. No estudo de caso utilizou-se ainda conceitos de outras disciplinas, como a
Matemática e a Física, para verificar a capilaridade do fluxo da informação da rede em três
perspectivas distintas: a social, a espacial e a socioespacial. O trabalho descreve o campo
emergente de pesquisa em ARS, abordando também questões fundamentais sobre como estas
diferentes perspectivas podem trazer resultados mais assertivos para orientar uma tomada de
decisão no mercado.<br>The notion of social network and methods of analysis in social networks (SNA) has
attracted considerable interest and curiosity to the scientific community in recent decades, as
well as a growing public fascination about the more complex relationships of modern society.
ARS is based on the importance of relations between the interaction of units. In social
network analysis the observation of the attributes of a social actor can be understood as
standard or as a structure of relationship between the units. Thus, when used at a network
perspective, one can study the patterns of relational structures directly, without reference to
attributes of the individuals involved. In the conventional analysis of social networks,
geographical distance (or geospatial) has no effect on the mapped network. When used, this
information usually takes the character of an additional attribute associated with the
individual actor (or clusters of actors) of the network itself. The objective of this study is to
demonstrate a "local level" (in a more "granularity") as the geospatial positioning of the
actors, considered as elements of the network, can unlock significant aspects of their behavior
that would not be revealed in conventional analysis. In the case study is also used concepts
from other disciplines such as mathematics and physics, to verify the capillary flow of
network information in three different perspectives: social, geospatial and sociospatial. The
paper describes the emerging field of research in ARS, also addressing fundamental questions
about how different perspectives can bring results more assertive for making initial decision.
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Nordvik, Monica K. "Contagious Interactions : Essays on social and epidemiological networks." Doctoral thesis, Stockholm : Visby : Acta Universitatis Stockholmiensis ; eddy.se [distributör], 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-8309.
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Baum, Débora Junge. "Estruturas de redes sociais em comunidades de práticas virtuais: estudo de caso na Gerdau." Universidade do Vale do Rio dos Sinos, 2015. http://www.repositorio.jesuita.org.br/handle/UNISINOS/3790.
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Previous issue date: 2015-03-13<br>Nenhuma<br>A busca das organizações pela diferenciação e pelo desenvolvimento de vantagens competitivas, passa pela habilidade em capitalizar conhecimento. Na maioria das vezes, esse conhecimento se encontra distribuído entre os colaboradores, muitas vezes dispersos geograficamente. Nesse contexto, as comunidades de prática surgem como uma solução, promovendo o compartilhamento e construindo conhecimento. A dissertação tem como tema as estruturas de redes sociais em comunidades de prática. O objetivo principal é identificar como as características da estrutura da rede social impactam no desenvolvimento de comunidades de prática, tendo como objeto de estudo três comunidades de prática da empresa Gerdau. O estudo aborda em sua fundamentação teórica os temas de aprendizagem social, comunidades de prática e redes sociais. De caráter exploratório e natureza quantitativo-qualitativa, o estudo de caso utilizou Análise de Redes Sociais, análise documental e entrevistas semiestruturadas, em uma triangulação de dados. Dentre os resultados da pesquisa, destaca-se a identificação dos construtos, sendo eles: interação entre os membros, envolvimento, papéis formais, perfil dos membros, centralização e clusters. A identificação desses construtos promove contribuição teórica, à medida que a temática das comunidades de prática ainda é pouco explorada sob o prisma de redes sociais. Adicionalmente, os resultados da pesquisa demonstram que as características da estrutura das redes sociais das comunidades de prática impactam significativamente no seu desenvolvimento e que a análise das comunidades de prática sob o viés dos construtos possibilita a identificação de oportunidades de atuação, contribuindo para sua gestão e seu desenvolvimento.<br>The search for differentiation and for the development of competitive advantages resides on the ability of organizations to capitalize knowledge. Most of the times, these knowledge is embedded into the mind of employees, who are frequently geographically dispersed. In this context, communities of practice arise as a solution, providing knowledge sharing and building. The dissertation theme is social network structures in communities of practice. The main objective is to identify how the characteristics of the social network structures affect the development of communities of practice, having as an study object three of Gerdau’s communities of practice. In its theoretical foundation the study addresses issues such as social learning, communities of practice and social networks. With an exploratory character and a qualitative-quantitative nature, the case study used Social Networks Analysis, documentary analysis and semi-structured interviews, providing data triangulation. Among the research results are a set of constructs formed by: members interaction, engagement, formal roles, members profile, centralization and clusters. The identification of these constructs provides theoretical contribution, as the theme of communities of practice is still little explored in the light of social networks. Besides, research results show that the characteristics of the social network structures in communities of practice affects significantly it’s development and that analyzing communities of practice under the bias of the constructs allows the identification of action opportunities, contributing to its management and development.
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Hauman, Nicholas. "Thesis Proposal for: General and Specific Definitions: A Network Study of Differential Association." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/2500.
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This study examines a largely unexplored aspect of Sutherland’s (1974) model of differential association: the interplay of general and crime specific definitions favorable towards crime. Do individuals learn the specific techniques of a type of crime through interactions or do social interactions produce a general disposition towards all types of criminal behavior? Little prior research has been done on the influence of these definitions. Instead studies focus on only one or another, which leaves the details of general/specific definitions unexplored. With the aid of a mixed methodology of statistical and network analysis, this study explores general/specific definitions simultaneously by focusing on relationships between egos and alters. If alters commit similar crimes, it is likely that crime specific definitions are being learned; if crimes are dissimilar then general definitions are more likely. Using police data on a known criminal network located in an urban capital, I test the relationship between the criminal behaviors of egos and alters. The study also compares the centrality of the node to the commonality of crime they commit. This provides an understanding of how key nodes in the network affect the dissemination of criminal definitions. Overall, while variations exist for criminal types, the study finds that crime specific definitions dominate the network and, therefore, have greater influence over respondents’ criminal behavior. Conversely, I found no clear pattern which indicates that high centrality nodes commit more common crimes. This may indicate that high centrality nodes are responsible for disseminating general definitions of crime while most nodes communicate crime specific definition.
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Lopes, Flávia Valério. "O discurso que ecoa nas redes: a vocalização de sujeitos a partir do caso “Voz da Comunidade." Universidade Federal de Juiz de Fora, 2012. https://repositorio.ufjf.br/jspui/handle/ufjf/1925.
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Previous issue date: 2012-03-30<br>As redes sociais introduziram no atual cenário novas vozes, que passaram a participar do debate público a partir dos movimentos iniciados nos territórios do ambiente sociotécnico. Por meio dessas ferramentas, sujeitos evidenciam sua função de autoria, sem intermediários, e acabam sendo “convocados” a participar das discussões. Possibilitadas pelo avanço das tecnologias da sociedade em rede, as mídias sociais transformaram-se em um novo espaço público de discussão. Neste trabalho iremos investigar a reconfiguração da relação de interlocução entre imprensa e sociedade, com a chegada desses novos atores. Para isso, analisamos, discursivamente, a repercussão do trabalho de um grupo de jovens durante a ocupação/invasão da polícia no Complexo do Alemão, no Rio de Janeiro, pelo perfil @vozdacomunidade no Twitter.<br>Social networks have introduced in the current scenario new voices that have become involved in the public debate from the movements initiated in the domains of the sociotechnical settings. Through these tools, subjects identify their role of authorship, without intermediaries, and they end up being “summoned” to participate in discussions. Enabled by advancing technologies from the network society, social media have transformed themselves into a new public space for discussion. In this context, it is convenient to investigate the reconfiguration of the interlocution relation between press and society with the arrival of these new interlocutors. For that matter, it will be considered the repercussion of the work of a young people’s group during the police occupation-invasion of Complexo do Alemão in Rio de Janeiro through the profile @vozdacomunidade in Twitter.
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Oliveira, Walison Aparecido de. "Colaboração científica nos programas de pós-graduação em educação : uma análise de redes de coautoria." Universidade Federal de São Carlos, 2017. https://repositorio.ufscar.br/handle/ufscar/9172.
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Previous issue date: 2017-06-30<br>Outra<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>The present study has the objective to investigate the network conformation of scientific collaboration's postdegree program in Sducation located in Brazil's Southwest. Use it in two methodologies, the social media analysis and the bibliometry. The scientific production was collected in lattes plataform deriving from curriculum of accredited teachers in 15 postdegree programs. Considering datas by two last tests of CAPES (triennia 2007-9 2010-2). The bibliographic records was extracted between scriptlattes software. The Vantage Point® software and UCINET was used to systematization and analysis of the results. Found that the area published on average 60% of articles in collaboration and there is a decrease (5%) in articles with authors individual. there is a uniform distribution of articles between the strata Qualis, ranging from 10% to 15%. according to the Qualis area, 14% of articles not total score for the program. there is a diversity in the profile of collaboration of the programs, some have more than 70% of its production in collaboration, and others with a maximum of 40%. the protagonists in collaboration scientific are programs level 6 (ufscar-and and) and level 5 (ufscar). the level 7 and most of the level 6 do not appear prominently. there are no greater approach between teachers of the programs for publication, for having higher level. the higher the average articles by program, the greater the possibility of publication joint. specific areas of education with other areas of knowledge (psychology, health, biology, etc.), impact the shape of the scientific production.<br>O presente estudo teve como objetivo investigar a configuração das redes de colaboração científica dos Programas de Pós-Graduação em Educação localizados no Sudeste do Brasil. Utilizou-se de duas metodologias, a Análise de Redes Sociais e a Bibliometria. A produção científica foi coletada na Plataforma Lattes oriunda dos currículos de docentes de credenciados em 15 programas de pós-graduação considerando dados das duas últimas avaliações da Capes (triénios 2007-9 e 2010-2). Os registros bibliográficos de 4.826 artigos foram extraídos através do software ScriptLattes. Os softwares Vantage Point® e UCINET foram usados para sistematização e análise dos resultados. Constatou que a área publicou em média 60% dos artigos em colaboração e há uma diminuição (5%) nos artigos com autores individuais. Há uma distribuição uniforme dos artigos entre os estratos Qualis, com variação entre 10% e 15%. De acordo com o Qualis da área, 14% dos artigos não somam pontuação para o programa. Existe uma diversidade no perfil de colaboração dos programas, alguns possuem mais de 70% da sua produção em colaboração, e outros com no máximo 40%. Os protagonistas na colaboração científica são os programas nível 6 (UFSCar-EE) e nível 5 (UFSCar). Os de nível 7 e maioria do nível 6 não aparecem com destaque. Não há uma maior aproximação entre os docentes dos programas para publicação, por terem maior nível. Quanto maior a média de artigos por programa, maior a possibilidade de publicação conjunta. Áreas específicas da educação com outras áreas de conhecimento (psicologia, saúde, biologia, etc.), impactam a forma da produção científica.
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Myhre, Brian Lawrence. "Social networks and urban Aboriginal organizations: building social capital in the electronic age." 2013. http://hdl.handle.net/1993/22187.
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This dissertation examines how social capital arises in eight socially networked urban Aboriginal organizations in Winnipeg, Manitoba. Two research methods are used. The “network centrality” of each organizational leader and their overall “social solidarity” within the total network spanning all eight organizations is determined using Social Network Analysis (SNA). SNA results indicate two distinct types of organizations and leadership. Detailed information on characteristics of these organizations and their leaders is derived from a thematic analysis of transcriptions of twenty-five hours of consultant interviews, supplemented by field notes based on over three hundred hours of participant-observation. Findings indicate that the eight Aboriginal organizations studied form two distinct network alliances (“band based” and “hybrid”). Band-based organizations tend to focus on clients from First Nations reserve communities, rely largely on federal funding, and adopt an institutional style of leadership. The leaders of them tend to rely on strong social ties supported by face-to-face communication. Hybrid organizations tend to focus on urban Aboriginal populations, rely on funding mostly from sources other than the federal government, and adopt a grassroots (and institutional) style of administration. Their leaders rely on a balance of strong and weak social ties; the latter mediated by computer-mediated-communication (CMC) technologies. Conclusions suggest that CMC technologies enable Aboriginal leaders to broker effective and innovative partnerships that better distribute services, responsibilities and costs. The Internet is the most vital social networking tool currently available for stimulating and supporting collective action. Regardless of their propinquity, people are using email and other Internet services to build friendships and allegiances, and to access important information, social contacts and services that enable the development of more effective social capital and community development practices among Aboriginal people living in Winnipeg.
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Stuetzer, Cathleen M., and Stephanie Gaaw. "Impact Evaluation by Using Relational Approaches in Web Surveys." 2019. https://tud.qucosa.de/id/qucosa%3A72013.
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Web surveys in higher education are particularly important for evaluating the quality of academic teaching and learning. Traditionally, mainly quantitative data is used for quality assessment. Increasingly, questions are being raised about the impact of attitudes of individuals involved. Therefore, especially the analysis of open-ended text responses in web surveys offers the potential for impact evaluation.
Despite the fact that qualitative text mining, sentiment analysis, and network analytics are being introduced in other research areas, these instruments are still slowly gaining access to evaluation research. On the one hand, there is a lack of methodological expertise to deal with large numbers of text responses (e.g. via semantic analysis, linguistically supported coding, etc.). On the other hand, deficiencies in interdisciplinary expertise are identified in order to be able to contextualize the results. The contribution contributes to the field of impact evaluation and reveals methodological implications for the development of text mining, sentiment analysis, and network analytics in evaluation processes.
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Stuetzer, Cathleen M., Ronald Breiger, and Thomas Koehler. "Social Academic Analytics in Higher Education." 2013. https://tud.qucosa.de/id/qucosa%3A72471.
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Social Academic Analytics (SAA) is proposed as a new scientific approach toward developing suitable instruments to promote virtual collaboration among participants in the higher education field. SAA refers to the process of extracting relational data for the purpose of exploring organizational structures within virtual learning organizations and knowledge networks. Implementation of SAA provides opportunities for organizers and instructors to optimize socio-technological infrastructures within (virtual) knowledge networks so as to encourage collaborative work, while offering significant potential for quality assurance. SAA combines theories and models from both informatics and the social sciences at the macro level in order to formulate data analysis for the field of (web-based) educational research. In this paper we introduce SAA and its constituent activities. Finally we select case studies and applications to compare analytical concepts from diverse disciplines and conclude with further suggestions as to how SAA concepts can be applied in educational data management.
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Βραχνός, Χρήστος. "Προσαρμογή, προσομοίωση και διάγνωση μοντέλων εκθετικών τυχαίων γραφημάτων". Thesis, 2009. http://nemertes.lis.upatras.gr/jspui/handle/10889/1796.
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Η παρούσα διπλωματική εργασία βρίσκεται στον ευρύτερο χώρο της
μαθηματικής στατιστικής θεωρίας των γραφημάτων. Κύριος στόχος μας,
όπως αναφέρει και ο τίτλος, είναι η μοντελοποίηση γραφημάτων, με
απώτερο σκοπό την προσαρμογή, προσομοίωση και διάγνωση αυτών μέσω
μοντέλων εκθετικών τυχαίων γραφημάτων. Το πρώτο κεφάλαιο δίνει μια
συνοπτική παρουσίαση της διατύπωσης του προβλήματος και της θεωρίας
των μοντέλων των εκθετικών τυχαίων γραφημάτων. Η βασική ιδέα είναι να
θεωρήσουμε ως τυχαίες μεταβλητές τους δυνατούς δεσμούς μεταξύ των
κόμβων ενός δοθέντος γραφήματος. Η γενική μορφή ενός μοντέλου εκθετικά
τυχαίου γραφήματος καθορίζεται από κάποιες υποθέσεις σχετικές με τις
εξαρτήσεις μεταξύ αυτών των τυχαίων μεταβλητών. Παρουσιάζουμε κάποιες
διαφορετικές υποθέσεις εξάρτησης και τα αντίστοιχα μοντέλα, όπως τα
γραφημάτα Bernoulli, τα δυαδικώς - ανεξάρτητα και τα τυχαία γραφήματα
Markov. Επίσης, εξετάζουμε την ενσωμάτωση των χαρακτηριστικών, που
μπορούν να έχουν οι κόμβοι, σε μοντέλα κοινωνικής επιλογής, δηλαδή, σε
περιπτώσεις που οι συνδέσεις του γραφήματος μπορούν να προβλέψουν τα
χαρακτηριστικά των κόμβων. Συνοψίζουμε κάποιες καινούργιες υποθέσεις
εξάρτησης, που είναι πολυπλοκότερες των πρώτων τέτοιων υποθέσεων της
σχετικής βιβλιογραφίας. Συζητούμε τις διαδικασίες της στατιστικής
εκτίμησης, συμπεριλαμβανομένων των νέων μεθόδων για την εκτίμηση της
μέγιστης πιθανοφάνειας Monte Carlo. Τέλος, παρουσιάζουμε τις νέες
προδιαγραφές για μοντέλα εκθετικών τυχαίων γραφημάτων, που έχουν
προτείνει οι Snijders et al., οι οποίες βελτιώνουν σημαντικά τα
αποτελέσματα της προσαρμογής εμπειρικών δεδομένων για εκθετικά μοντέλα
ομοιογενών τυχαίων γραφημάτων Markov. Επιπλέον, οι νέες αυτές
προδιαγραφές μας βοηθούν να αποφύγουμε το πρόβλημα του
σχεδόν-εκφυλισμού, που συχνά παρεμβάλλεται στη διαδικασία της
προσαρμογής μοντέλων εκθετικών τυχαίων γραφημάτων Markov, ιδιαίτερα
όταν αυτά προέρχονται από εμπειρικά δεδομένα, που έχουν υψηλό βαθμό
μεταβατικότητας. Η μελέτη μιας τέτοιας νέας στατιστικής με υψηλότερης
τάξης μεταβατικότητα επιτρέπει την εκτίμηση των παραμέτρων των
μοντέλων των εκθετικών γραφημάτων σε πολλές (αλλά όχι όλες)
περιπτώσεις, στις οποίες διαφορετικά θα ήταν αδύνατο να εκτιμηθούν οι
παράμετροι των μοντέλων των ομοιογενών γραφημάτων Markov. Στο δεύτερο,
τρίτο και τέταρτο κεφάλαιο της εργασίας εφαρμόζουμε τις παραπάνω
μεθόδους, αντιστοίχως, για τρείς αναλύσεις εμπειρικών δεδομένων: το
δίκτυο Florentine, το δίκτυο Faux Magnolia High και τα δίκτυα IPRED
και SWPAT. Σε αυτά τα κεφάλαια, παρουσιάζουμε τις διαδικασίες της
προσαρμογής, προσομοίωσης και διάγνωσης με παράθεση των αντίστοιχων
εντολών, χρησιμοποιώντας τα πακέτα statnet - ermg και sna, τα οποία
δουλεύουν στο περιβάλλον του πακέτου ελεύθερου λογισμικού R. Τέλος,
στο παράρτημα της εργασίας δίνουμε μια σύντομη εισαγωγή στο περιβάλλον
R και σε κάποιες γενικές εντολές αυτού.<br>This specific project has to do with mathematical statistical graph theory. Our main target is to fit, simulate and diagnose models through exponential random graph models. In the first chapter we give a short presentation of the problem and the theory of exponential random graph models. The main idea is to consider each tie of a given network (graph) as a random variable. The general form of an exponential random graph model is defined from some relative assumptions that have to do with the dependence between those random variables. We present some different dependence assumptions and the corresponding models, such as Bernoulli graphs, dyadic-independent and Markov random graphs. We also examine the incorporation of the characteristics that a node may have in social networks. We also discuss the process of statistical estimation, including three new methods for the estimation of Monte Carlo maximum likelihood. Finally, we present new specifications for exponential random graph models, which Snijders et al. have proposed. These new specifications allow us to avoid the problem of degeneration. In the second, third and fourth chapter we apply the above methods in order to analyze Florentine network data, Faux Magnolia High data and IPred And Swpat data. In those chapters, we present the procedures of fit, simulate and diagnose exponential random graph models displaying the corresponding commands of statnet-ergm and sna packages that work in R. Finally we give a short introduction to R and to some relative commands.
Books on the topic "Social Networks Analisys (SNA)"
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Nigro, Giampiero, ed. Reti marittime come fattori dell’integrazione europea / Maritime Networks as a Factor in European Integration. Firenze University Press, 2019. http://dx.doi.org/10.36253/978-88-6453-856-3.
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Il tema, di grande respiro, prende come punto di partenza il concetto braudeliano di Mediterraneo. La sua visione di un mare chiuso come una opportunità geografica per una integrazione economica fra popolazioni diverse per religioni, linguaggi ed entità etniche e politiche continua a funzionare come modello per studi applicati ad un ampio raggio di contesti. L’obiettivo che si è posta la 50ª Settimana di studi è stato quello di andare oltre lo studio dei singoli sistemi visti in modo isolato per combinare diverse analisi di mari aperti e chiusi o aree costiere, allo scopo di comprendere il ruolo di integrazione giocato in Europa dalle connessioni marittime. Poiché nelle civiltà preindustriali il trasporto per via d’acqua era più facile di quello via terra, è sembrato giunto il momento di richiamare l’attenzione sul modo in cui queste reti di relazione operavano a livello europeo e con i partner commerciali asiatici e nordafricani. Il volume prende le mosse dalle grandi tradizioni di ricerca su base regionale o tematica, che però sono state raramente integrate su una più ampia scala continentale. Immanuel Wallerstein ha elaborato il concetto braudeliano concettualizzandone le dimensioni interculturali e transnazionali e il ruolo nel sistema di divisione del lavoro. Egli lo chiamò un “sistema mondo”, non perché coinvolgesse il mondo intero, ma perché è più vasto di qualunque unità politica giuridicamente definita. E si tratta di una “economia mondo” perché il legame di base tra le varie parti del sistema è economico. I vari aspetti e le tradizioni regionali di ricerca sono stati collegati tra loro in un approccio coerente che si posto l'obiettivo di valutare: - Sulla base di quali elementi geografici, nautici, tecnici, economici, giuridici, sociali e culturali siano emerse le varie reti regionali, e come funzionavano, - Il carattere e il ruolo dei porti marittimi come punti nodali delle rotte marine e del loro hinterland, attraverso fiumi, canali e strade, - I legami commerciali e personali tra mercanti e armatori in vari porti, - In quale modo le reti regionali si collegavano tra di loro e come, nel corso del tempo, finirono per integrarsi in unità più ampie, - In quale modo le reti private, inizialmente costituite da organizzazioni di mercanti e navigatori, finirono per trattare con le autorità locali e, una volta cresciute, con gli stati e gli imperi, per proteggere i propri interessi
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David, Hutchison. Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers. Springer Berlin Heidelberg, 2009.
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Berardo, Ramiro, Isabella Alcañiz, Jennifer Hadden, and Lorien Jasny. Networks and the Politics of the Environment. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.26.
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This chapter surveys recent research that utilizes the measures and techniques of social network analysis (SNA) to explain socioecological outcomes. The chapter focuses on the role of key characteristics of networks—including density and fragmentation, bonding and bridging social capital, brokerage and leadership—in promoting adaptive governance and co-management, and in turn, successful environmental management outcomes. It argues that network structures affect the ability of actors to coordinate their behavior, cooperate with one another, share information, and adapt their behavior to new circumstances. The chapter concludes by discussing limitations and future directions for research, drawing attention to the need for more work integrating ecological and social networks, comparative SNA, and analyses of network formation and evolution.
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Cross, Rob, Andrew Parker, and Lisa Sasson, eds. Networks in the Knowledge Economy. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195159509.001.0001.
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In today's de-layered, knowledge-intensive organizations, most work of importance is heavily reliant on informal networks of employees within organizations. However, most organizations do not know how to effectively analyze this informal structure in ways that can have a positive impact on organizational performance. Networks in the Knowledge Economy is a collection of readings on the application of social network analysis to managerial concerns. Social network analysis (SNA), a set of analytic tools that can be used to map networks of relationships, allows one to conduct very powerful assessments of information sharing within a network with relatively little effort. This approach makes the invisible web of relationships between people visible, helping managers make informed decisions for improving both their own and their group's performance. Networks in the Knowledge Economy is specifically concerned with networks inside of organizations and addresses three critical areas in the study of social networks: Social Networks as Important Individual and Organizational Assets, Social Network Implications for Knowledge Creation and Sharing, and Managerial Implications of Social Networks in Organizations. Professionals and students alike will find this book especially valuable, as it provides readings on the application of social network analysis that reflect managerial concerns.
Book chapters on the topic "Social Networks Analisys (SNA)"
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Wu, Hui-Ju, I.-Hsien Ting, and Huo-Tsan Chang. "Integrating SNA and DM Technology into HR Practice and Research: Layoff Prediction Model." In Mining and Analyzing Social Networks. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13422-7_4.
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Gulyás, Attila, Martina Katalin Szabó, Orsolya Ring, László Kiss, and István Boros. "Networks of the Political Elite and Political Agenda Topics: Creation and Analysis of Historical Corpora Using NLP and SNA Methods." In Pathways Between Social Science and Computational Social Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54936-7_9.
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Zherebtsov, Mikhail, and Sergei Goussev. "Tweeting Russian Politics: Studying Online Political Dynamics." In The Palgrave Handbook of Digital Russia Studies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42855-6_30.
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AbstractThe established study of political networks has surged with the rise of digital social networks and modern computational analytics. Social Network Analysis (SNA) enables the study of Russia’s hybrid politics and society as it produces accurate alternative content to controlled official and semi-official statistics, providing live and detailed insight into current political processes in the country. Using six resonant political events, the chapter illustrates how SNA methods allow the designation of political communities and support the evaluation of such important questions as the presence of “echo-chambers,” the dynamic tracing of group reactions to informational events, and the detection of leaders and influencers. These methods provide a framework for the analysis of political phenomena as astroturfing and botnets, opinion mining, as well as topic and sentiment analysis.
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Davel, Ronel, Adeline S. A. Du Toit, and Martie Mearns. "Understanding Knowledge Networks Through Social Network Analysis." In Current Issues and Trends in Knowledge Management, Discovery, and Transfer. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2189-2.ch004.
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Social network analysis (SNA) is being increasingly deployed as an instrument to plot knowledge and expertise as well as to confirm the character of connections in informal networks within organisations. This study investigated how the integration of networking into KM can produce significant advantages for organisations. The aim of the research was to examine how the interactions between SNA, CoPs, and knowledge maps could potentially influence knowledge networks. The researchers endeavour to illustrate via this question that cultivating synergies between SNA, CoPs, and knowledge maps will enable organisations to produce stronger knowledge networks and ultimately increase their social capital. This chapter intends to present a process map that can be useful when an organisation wants to positively increase its social capital by examining influencing interactions between SNA, CoPs, and knowledge maps, thereby enhancing the manner in which they share and create knowledge.
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Helmi, Asleena, Zainal Ariffin Ahmad, and Daisy Kee Mui Hung. "Understanding Knowledge Networks via Social Network Analysis (SNA)." In Advances in Electronic Government, Digital Divide, and Regional Development. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61692-846-9.ch004.
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The link between KM and network theory lies in the cultivating of knowledge networks by viewing knowledge as connections and understanding it as the aggregation of connections across different entities albeit it people or organizations (Kadushin, 2004). The study explores primarily on the capabilities and capacity building of government-linked corporations (GLC) in Malaysia in relation to its evolution as a knowledge network. In this chapter, the authors explore the overlap that exists in KM particularly in the entities and sharing of knowledge assets that undergoes a multiplying effect in its value propositions with the forming of interoganizational relationships. The findings of the study indicates that in order to benefit from the knowledge multiplying affects, organizations need to create a “network identity” and develop capabilities as a learning entity that would add value to the network itself. From the context of KM, majority of the GLCs are in the transitory stages in which issues of trust, competencies and communications have been key indicators in forming network relations. As such this chapter would be useful in highlighting the significance of network relations and provides further proliferation in the study of social network theory and significance to KM.
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Pereira, Débora. "Social Networks on the Internet." In ICTs for Mobile and Ubiquitous Urban Infrastructures. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-051-8.ch007.
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Social Network Analysis – SNA is a hybrid research method used here to systematize a network of relationships around the collective transnational flux of information via the micro-blog service Twitter. The case studied is the exile of Peruvian indigenous leader Alberto Pizango to Nicaragua, and the conflicts between Indians and the military in May and June 2009 in Bagua, in the Amazon. To historically and politically contextualize the object of this case study in the so-called “Network society”, concepts about globalization, ubiquity, and spatial and informational connectivity are employed. The method of Social Network Analysis is described in detail, with attention to the possibilities of visualization and of patterns of connections and identification of ideological values of actors in the network.
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Morin, Jean-Frédéric, Christian Olsson, and Ece Özlem Atikcan. "Social Network Analysis." In Research Methods in the Social Sciences: An A-Z of key concepts. Oxford University Press, 2021. http://dx.doi.org/10.1093/hepl/9780198850298.003.0061.
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This chapter studies Social Network Analysis (SNA), which is a methods toolbox for analysing the patterning of social ties and explaining how and why those patterns emerge and what consequences they have for social actors. Social networks are ubiquitous in the social world, either unfolding in face-to-face interactions or digitally. In recent decades, SNA has grown in popularity, appealing broadly to students interested in complex social structures. The recent availability of data based on digital traces of social relations (e.g. emails or social media profiles) has further prompted students to study these network structures. Analysing how actors are connected through other actors via paths may indicate how e.g. information or resources flow through the network via these ties.
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Srivastava, Atul, Anuradha Pillai, and Dimple Juneja Gupta. "A Walk Through Social Network Analysis." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2814-2.ch001.
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Since last more than forty years, social network analysis (SNA) techniques have evolved as one of the successful applications of Internet. Numerous reasons demand better understanding of the structure of social networks, need of their analysis and their impact on future Internet and society. For instance, finding the shared interest and trust could be one of the reasons to study social networks. Moreover, if in future, distributed online social networks are popular and bandwidth intensive, they can have a significant impact on Internet traffic, just as current peer-to-peer content distribution networks do. Regardless of one's stance on these phenomena, a better understanding of the structure of social networks is likely to improve our understanding of the opportunities, limitations and threats associated with these ideas. For instance, gigantic size of online social networks, their dynamic behavior, clustering and privacy policies held by users are some of the major challenges. This chapter presents an engraved review spanning from need of SNA to the implications associated with it.
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Asim, Yousra, and Ahmad Kamran Malik. "A Survey on Access Control Techniques for Social Networks." In Information Diffusion Management and Knowledge Sharing. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0417-8.ch016.
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Online Social Networks (OSN) are getting popular day by day. Users share their information in OSN with others users. Access control is required to prevent unauthorized access to this information. Several studies have been conducted for access control in social networks. This chapter is a survey of available access control models/techniques based on social networks. Available access control models can be categorized as relationship-based, attributes-based, community structure-based and user activity centric model. A number of techniques have been proposed by several authors for access control in social networks. Most of the approaches use Social Network Analysis (SNA) techniques, others use user related information, for example, attributes or activities, the rest use a combination of approaches.
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García-Hernández, Alejandra. "Social Network Analysis for Processes Improvement in Teams." In Agile Estimation Techniques and Innovative Approaches to Software Process Improvement. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5182-1.ch017.
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There is a vast amount of literature showing the effects of social networks in different organizational settings, such as innovation, knowledge transfer, leadership, and organizational culture. Recently, business process literature has recognized the impact of Social Network Analysis (SNA) in process improvement by observing the real collaborative relationships between employees, or the SNA impact in detecting communication structures in a large software team. However, little is known about how the teams’ network structures may impact on the teams’ productivity. This chapter analyzes different network properties that may have an impact on the teams’ productivity and generates knowledge that may help to improve processes in the organizations.
Conference papers on the topic "Social Networks Analisys (SNA)"
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"Web social networks meters and business usage analisys." In 2011 International Conference on Computational Aspects of Social Networks (CASoN 2011). IEEE, 2011. http://dx.doi.org/10.1109/cason.2011.6085948.
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Du, Nan, Bin Wu, Xin Pei, Bai Wang, and Liutong Xu. "Community detection in large-scale social networks." In the 9th WebKDD and 1st SNA-KDD 2007 workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1348549.1348552.
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Bartal, Alon, Elan Sasson, and Gilad Ravid. "Predicting Links in Social Networks Using Text Mining and SNA." In 2009 International Conference on Advances in Social Network Analysis and Mining (ASONAM). IEEE, 2009. http://dx.doi.org/10.1109/asonam.2009.12.
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Ben Hiba, Lamia, and M. A. J. Idrissi. "An SNA-based Evaluation Framework for Virtual Teams." In 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). IEEE, 2012. http://dx.doi.org/10.1109/asonam.2012.241.
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Ben Hiba, Lamia, and Mohammed Abdou Janati Idrissi. "Towards an SNA system for evaluating project virtual teams based on social collaborative platforms." In 2012 Next Generation Networks and Services (NGNS). IEEE, 2012. http://dx.doi.org/10.1109/ngns.2012.6656086.
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"KANGAROO: A DISTRIBUTED SYSTEM FOR SNA - Social Network Analysis in Huge-Scale Networks." In International Conference on Cloud Computing and Services Science. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003387304040409.
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Yun-Shang Chiou and Ying-Ting Huang. "Applying SNA for the Characterization of the Spatial Organization of XiaoLin Village." In 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). IEEE, 2012. http://dx.doi.org/10.1109/asonam.2012.19.
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Li, Min, Huanlin Pan, and Zhengqun Zhan. "Research on Cross-border M&A Networks in “One Belt One Road” Countries Based on SNA." In 7th International Conference on Humanities and Social Science Research (ICHSSR 2021). Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210519.254.
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Di Tommaso, Giorgia, Giovanni Stilo, and Paola Velardi. "Women leadership in enterprise social networks A SNA toolkit to foster the emergence of informal leaders in organizations." In 2015 International Conference on Information Society (i-Society). IEEE, 2015. http://dx.doi.org/10.1109/i-society.2015.7366862.
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Benítez-Andrades, José Alberto, Isaías García, Carmen Benavides, Javier Pérez-Paniagua, Pilar Marqués-Sánchez, and Mercedes Reguera. "Networks that Cross the Boundaries of the Classroom: A Quasi-Experimental Study of University Students." In Fifth International Conference on Higher Education Advances. Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9282.
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Currently there is a trend towards facilitating multidisciplinary research and collaborations between different faculties and/or multi-university collaboration. In order to achieve standardization, we believe that this culture should begin with the teaching-learning processes. This research has investigated collaborative work between nursing students and computer engineering students. To analyze the group response, an analysis of the contacts was carried out through Social Network Analisys, pre- and post-intervention. The student networks analyzed were friendship, collaboration and negative networks. The results show that the intervention had a positive impact on networks among students, creating greater cohesiveness due to the resources they shared. The research adds useful evidence for proposing innovative and multidisciplinary strategies in terms of networks.
Reports on the topic "Social Networks Analisys (SNA)"
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Johnson, Eric M., and Robert Chew. Social Network Analysis Methods for International Development. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.rb.0026.2105.
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Social Network Analysis (SNA) is a promising yet underutilized tool in the international development field. SNA entails collecting and analyzing data to characterize and visualize social networks, where nodes represent network members and edges connecting nodes represent relationships or exchanges among them. SNA can help both researchers and practitioners understand the social, political, and economic relational dynamics at the heart of international development programming. It can inform program design, monitoring, and evaluation to answer questions related to where people get information; with whom goods and services are exchanged; who people value, trust, or respect; who has power and influence and who is excluded; and how these dynamics change over time. This brief advances the case for use of SNA in international development, outlines general approaches, and discusses two recently conducted case studies that illustrate its potential. It concludes with recommendations for how to increase SNA use in international development.