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Journal articles on the topic 'Social networl analysis'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Reis, Eduardo, Magno José Alves, Camilo Dias Seabra, et al. "Socio-environmental assessment of the Santos and São Vicente municipalities on the coast of São Paulo/Brazil: application of social network analysis to the DPSIR conceptual framework." Revista Processando o Saber 17, no. 01 (2025): 261–78. https://doi.org/10.5281/zenodo.15499049.

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Considering the social, economic, and ecological complexity of coastal regions and the difficulty of public and private environmental management in these highly populated areas with multiple sources of pollution, this study used the driver, pressure, state, impact, and response model to socio-environmentally assess the coastal municipalities of Santos and São Vicente in the Baixada Santista metropolitan region, SP-Brazil. Data were evaluated by social network analysis. Results indicated the most relevant drivers (i.e., those that most affected sustainability and environmental governance

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Jadhav, Pranavati, and Dr Burra Vijaya Babu. "Detection of Community within Social Networks with Diverse Features of Network Analysis." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (2019): 366–71. http://dx.doi.org/10.5373/jardcs/v11sp12/20193232.

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Shcherbakov, V. S., and I. A. Karpov. "Regional Inflation Analysis Using Social Network Data." Economy of Regions 20, no. 3 (2024): 930–46. http://dx.doi.org/10.17059/ekon.reg.2024-3-21.

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Inflation is one of the most important macroeconomic indicators that have a great impact on the population of any country and region. Inflation is influenced by a range of factors, including inflation expectations. Many central banks take this factor into consideration while implementing monetary policy within the inflation targeting regime. Nowadays, a lot of people are active users of the Internet, especially social networks. It is hypothesised that people search, read, and discuss mainly only those issues that are of particular interest to them. It is logical to assume that the dynamics of

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Almahmoud, Essam, and Hemanta Kumar Doloi. "Assessment of Social Sustainability in Construction Projects Using Social Network Analysis." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 3, no. 6 (2018): 35–46. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.36.3003.

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This paper aims to propose a framework that puts the stakeholders at the forefront of achieving sustainability in the social context. This research, thus, argues that the social sustainability outcomes in construction are best achieved by taking into account the satisfaction of the stakeholders. Based on sustainability and equity theories, a dynamic assessment model has been developed to evaluate the contributions of projects in a social context. Multiple stakeholders and their differing interests associated with the construction projects have been integrated using social network analysis. The

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S., Geetha. "Big Data Analysis - Cybercrime Detection in Social Network." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (2020): 147–52. http://dx.doi.org/10.5373/jardcs/v12sp4/20201476.

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Ashlesha, S. Nagdive, Tugnayat Rajkishor, and Peshkar Atharva. "Social Network Analysis of Terrorist Networks." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 2553–59. https://doi.org/10.35940/ijeat.C5431.029320.

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Terrorist Activities worldwide has led to the development of sophisticated methodologies for analyzing terrorist groups and networks. Ongoing and past research has found that Social Network Analysis (SNA) is most effective method for predictive counter-terrorism. Social Network Analysis (SNA) is an approach towards analyzing the terrorist networks to better understand the underlying structure of a network and to detect key players within the network and their links throughout the network. It is also need of the hour to convert available raw data into valuable information for the purpose of glo

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Del Fresno García, Miguel. "Connecting the Disconnected: Social Work and Social Network Analysis. A Methodological Approach to Identifying Network Peer Leaders." Arbor 191, no. 771 (2015): a209. http://dx.doi.org/10.3989/arbor.2015.771n1011.

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Nasution, Mahyuddin K. M., Rahmad Syah, and Marischa Elveny. "Social Network Analysis: Towards Complexity Problem." Webology 18, no. 2 (2021): 449–61. http://dx.doi.org/10.14704/web/v18i2/web18332.

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Social network analysis is a advances from field of social networks. The structuring of social actors, with data models and involving intelligence abstracted in mathematics, and without analysis it will not present the function of social networks. However, graph theory inherits process and computational procedures for social network analysis, and it proves that social network analysis is mathematical and computational dependent on the degree of nodes in the graph or the degree of social actors in social networks. Of course, the process of acquiring social networks bequeathed the same complexit

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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 an

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AVCI, UMMUHAN, and ESIN ERGUN. "Öğrencilerin Kişilik Özellikleri ve Performanslarına İlişkin Bir SosyalAğ Analizi." KIRŞEHİR EĞİTİM FAKÜLTESİ DERGİSİ 18, no. 3 (2017): 847–64. http://dx.doi.org/10.29299/kefad.2017.18.3.044.

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Gadiparthi, Manjunath, and E. Srinivasa Reddy. "Impact of Individuals’ Engagement in Social Network-An Extensive Analysis." Webology 19, no. 1 (2022): 2782–96. http://dx.doi.org/10.14704/web/v19i1/web19185.

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Social Network (SN) is of avail for sharing information among individuals and communities for different purposes like sharing opinions, feelings, photos, videos and many others. Since the start of the COVID-19 epidemic and the ensuing limitations, the use of Apps on smart devices has exploded. In-line with how much time is spent on SN by a person, the manifestation of physical and mental problems are found in diverse patterns. In this review a comparative account is presented linking the time spent by individuals on social network and the patterns of the resultant health problems in course of

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UGURLU, Zeynep. "Social Network Analysis of the Farabi Exchange Program: Student Mobility." Eurasian Journal of Educational Research 16, no. 65 (2016): 1–35. http://dx.doi.org/10.14689/ejer.2016.65.18.

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Garcia-Garcia, Fran J., Inmaculada López-Francés, and Cristian Molla-Esparza. "Análisis de redes sociales para la inclusión entre iguales en discusiones en línea con estudiantes de universidad." Pixel-Bit, Revista de Medios y Educación, no. 66 (2023): 7–29. http://dx.doi.org/10.12795/pixelbit.95555.

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Las discusiones asíncronas en línea (DAL) sirven para aprender en la universidad, pero pierden eficacia conforme disminuye la participación de los estudiantes. Este estudio aporta un método basado en el Análisis de Redes Sociales (ARS) que aborda este problema, identificando estudiantes con un alto potencial de inclusión entre iguales durante los debates asíncronos. Para probar el método, configuramos foros de discusión en Moodle y examinamos las interacciones de 93 estudiantes de grado en el área de Ciencias de la Educación. Analizamos las redes sociales que surgieron de los debates, incluyen

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M., Shankar. "Social Network Analysis." Shanlax International Journal of Commerce 7, S1 (2019): 259–60. https://doi.org/10.5281/zenodo.3451720.

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Social Network analysis is an investigation made on social structures through the use of networks. The field of social network analysis is the dynamic and highly adaptable combination of techniques that let us quantify and recognize the complex structures and flows of relationships, thoughts, and things between people around the world.     Social network analysis has emerged as a critical technique in modern sociology. It has also gained an important following in economics, geography, history, information science, organizational studies, anthropology, biology, demography, commun

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Quinn, Darren, Liming Chen, and Maurice Mulvenna. "Social Network Analysis." International Journal of Ambient Computing and Intelligence 4, no. 3 (2012): 46–58. http://dx.doi.org/10.4018/jaci.2012070104.

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Social Network Analysis is attracting growing attention as social networking sites and their enabled applications transform and impact society. This paper aims to provide a comprehensive review of social network analysis state of the art research and practice. In the paper the authors’ first examine social networking and the core concepts and ingredients of social network analysis. Secondly, they review the trend of social networking and related research. The authors’ then consider modelling motivations, discussing models in line with tie formation approaches, where connections between nodes a

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Yang, Hong Mei, Chun Ying Zhang, Rui Tao Liang, and Fang Tian. "Set Pair Social Network Analysis Model." Applied Mechanics and Materials 50-51 (February 2011): 63–67. http://dx.doi.org/10.4028/www.scientific.net/amm.50-51.63.

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Through the study on social network information, this paper explore that there exists the certain and uncertain phenomena in the process of finding the relationship between individuals by using social networks, and the social networks are constantly changing. In light of there are some uncertainty and dynamic problems for the network, this paper put forward the set pair social network analysis model and set pair social network analysis model and its properties.

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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 "in

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MISS, SUPRIYA KUMARI BISWAL, and MRS. PRADNYA MULEY PROF. "DATA MINING IN SOCIAL NETWORK ANALYSIS." IJIERT - International Journal of Innovations in Engineering Research and Technology 5, no. 5 (2018): 9–12. https://doi.org/10.5281/zenodo.1445979.

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<strong>online communities and social software we can communicate with the web. Analysis of interactions happening is complex. Social network analysis (SNA) is a useful way to analyse . Data mining uses different type of statistical,machine learning and graphic al methods and differentiates into a form of knowledge that is useful for most real - world applications. Analysis of social networks is now a popular field for research because it is useful for most applications. In this paper we have discussed the various data mining techniques used for social network analysis.</strong> <strong>https:

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Linke, Knut, and Torben Friedrich. "Analysis of B-2-C Social Media Communication in Germany." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 3, no. 3 (2018): 23–31. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.33.3002.

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In this research paper, social media marketing activities of social media accounts from German business are analyzed for the social networks Facebook, Twitter, Instagram, Xing and LinkedIn. As research objects were the context of the interaction, the used and targeted social network functionalities and the behavior of the companies selected. The selection of social media accounts for the research included companies which are currently member from the stock market indices DAX and MDAX, additional online and offline retail business, successful German sports clubs, celebrities and others business

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Jullien, Eva. "Netzwerkanalyse in der Mediävistik. Probleme und Perspektiven im Umgang mit mittelalterlichen Quellen." Vierteljahrschrift für Sozial- und Wirtschaftsgeschichte 100, no. 2 (2013): 135–53. http://dx.doi.org/10.25162/vswg-2013-0004.

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S, Santhosh Kumar, Vishnu Vardhan S, Wasim Jaffar M, Sultan Saleem A, and Sharmasth Vali Y. "Social Communicative Extraction Analysis." International Research Journal of Multidisciplinary Technovation 2, no. 4 (2020): 4–10. http://dx.doi.org/10.34256/irjmt2042.

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The distinguishing proof of online networking networks has as of late been of significant worry, since clients taking an interest in such networks can add to viral showcasing efforts. Right now center around clients' correspondence considering character as a key trademark for recognizing informative systems for example systems with high data streams. We portray the Twitter Personality based Communicative Communities Extraction (T-PCCE) framework that recognizes the most informative networks in a Twitter organize chart thinking about clients' character. We at that point grow existing methodolog

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22

Suh, Wonseok, and Won sug Shin. ""An analysis of discussion environment and group size in online discussion activities using Social Networking Analysis"." Journal of Educational Technology 28, no. 4 (2012): 757–79. http://dx.doi.org/10.17232/kset.28.4.757.

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23

Gomes Franco e Silva, Flávia. "El uso periodístico de las redes sociales: análisis comparativo entre Brasil y España." aDResearch ESIC International Journal of Communication Research 09, no. 09 (2014): 22–43. http://dx.doi.org/10.7263/adresic-009-02.

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24

Skvoretz, John. "Pas de Deux: Social Networks and Network Analysis." Contemporary Sociology: A Journal of Reviews 37, no. 5 (2008): 423–26. http://dx.doi.org/10.1177/009430610803700511.

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Madhavi M. Kulkarni. "Enhancing Social Network Analysis using Graph Neural Networks." Advances in Nonlinear Variational Inequalities 27, no. 4 (2024): 213–30. http://dx.doi.org/10.52783/anvi.v27.1502.

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Social Network Analysis (SNA) may be a key apparatus for figuring out how individuals in social systems interface and relate to each other. Most of the time, chart hypothesis, factual models, and machine learning are utilized in conventional SNA strategies. Be that as it may, these strategies have inconvenience finding complex designs in huge, changing, and assorted systems. Chart Neural Systems (GNNs) are a modern and solid way to progress SNA. They learn models straight from graph-structured information, which makes them exceptionally great at assignments like finding communities, classifyin

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Himelboim, Itai, Marc A. Smith, Lee Rainie, Ben Shneiderman, and Camila Espina. "Classifying Twitter Topic-Networks Using Social Network Analysis." Social Media + Society 3, no. 1 (2017): 205630511769154. http://dx.doi.org/10.1177/2056305117691545.

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As users interact via social media spaces, like Twitter, they form connections that emerge into complex social network structures. These connections are indicators of content sharing, and network structures reflect patterns of information flow. This article proposes a conceptual and practical model for the classification of topical Twitter networks, based on their network-level structures. As current literature focuses on the classification of users to key positions, this study utilizes the overall network structures in order to classify Twitter conversation based on their patterns of informat

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Schwartz, Daniel M., and Tony (D.A.) Rouselle. "Using social network analysis to target criminal networks." Trends in Organized Crime 12, no. 2 (2008): 188–207. http://dx.doi.org/10.1007/s12117-008-9046-9.

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28

Shin, Sung-Ho, Seungphil Lee, and So Hee Lee. "Analysis of Domestic and International Research Trends using Social Network Analysis in the Field of Trade." Journal of Korea Research Association of International Commerce 23, no. 5 (2023): 31–50. http://dx.doi.org/10.29331/jkraic.2023.10.23.5.31.

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Andryani, Ria, Edi Surya Negara, Rezki Syaputra, and Deni Erlansyah. "Analysis of Academic Social Networks in Indonesia." Qubahan Academic Journal 3, no. 4 (2023): 409–21. http://dx.doi.org/10.58429/qaj.v3n4a289.

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Social network analysis to detect communities in social networks is a complex problem, this is due to differences in community definitions and the complexity of social networks. One of the social networks for researchers is the academic social network (ASN). We define the relationships between nodes in ASN into two forms, namely interconnection relationships and interaction relationships. Interconnection relationships are researchers' social relationships that are formed from similarities in discipline between researchers, while interaction relationships are researchers' social relationships t

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Arif, Tasleem. "The Mathematics of Social Network Analysis: Metrics for Academic Social Networks." International Journal of Computer Applications Technology and Research 4, no. 12 (2015): 889–93. http://dx.doi.org/10.7753/ijcatr0412.1003.

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Kim, Jooho, and Makarand Hastak. "Social network analysis: Characteristics of online social networks after a disaster." International Journal of Information Management 38, no. 1 (2018): 86–96. http://dx.doi.org/10.1016/j.ijinfomgt.2017.08.003.

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Zenkovich, K., T. Zhylkybayev, S. Kaysanov, and T. Ustinova. "APPLYING SOCIAL MINING RESULTS FROM OPEN SOCIAL NETWORKS." Bulletin of Shakarim University. Technical Sciences 1, no. 2(14) (2024): 5–10. http://dx.doi.org/10.53360/2788-7995-2024-2(14)-1.

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TThe advent of web-based communities and social networking sites has resulted in a massive amount of social networking data that is embedded with rich sets of meaningful social media knowledge. Social network analysis and the study of social structures using networks and graph theory help to find a systematic method or process for studying social networks. The article reveals the concept of intellectual analysis of social networks. The key aspect of the article is the application of the results of social network analysis to various branches of human activity.Describes the benefits of using Soc

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Tekşen, Kerem, and Necati Cemaloğlu. "Mobbing and Social Network Analysis." Technium Social Sciences Journal 39 (January 8, 2023): 184–94. http://dx.doi.org/10.47577/tssj.v39i1.8214.

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The aim of this research is to find out the level of mobbing experience of teachers working in educational institutions and to determine the network characteristics of both the social networks of the organizations where mobbing behavior is common and the participants in these networks. The target population of the research consists of teachers working in a province in Türkiye. The sample of the population was determined by cluster sampling method. In total, 376 teachers in 30 schools were reached, but 11 questionnaires were removed during the pre-analysis data scanning phase, and the remaining

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Choi, Mingee, Ji Young Park та Hyun Min Hong. "국내 사회적경제 연구 동향 분석: 텍스트 네트워크, 토픽 모델링 분석기법의 활용한 시기별 핵심 키워드 비교". Center for Social Welfare Research Yonsei University 73 (30 червня 2022): 155–81. http://dx.doi.org/10.17997/swry.73.1.6.

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The purpose of this study is to examine the domestic research trends of social economy and to suggest the direction of future research using text networks and topic modeling analysis techniques. In this study, a total of 3,500 academic papers suitable for the research purpose registered in the Korean Journal Yongin Index(KCI) were set as analysis targets, and core keywords and research topics were compared and analyzed by major period.. As a result of the study, the words that appear in common across time were ‘Responsibility’, ‘Region’, ‘Entrepreneur’, ‘Service’, and ‘Consumer’. Since 2007, n

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Jazmin, Enriquez-Sanchez, Munoz-Rodriguez Manrrubio, J. Reyes Altamirano-Cardenas, and Gante Abraham Villegas-De. "Activation process analysis of the Localized Agri-food System using social networks." Agricultural Economics (Zemědělská ekonomika) 63, No. 3 (2017): 121–35. http://dx.doi.org/10.17221/254/2015-agricecon.

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The objective of the work was to analyse the prevailing activation process of the Localized Agri-food System (LAS) by using social networks as a tool to value the pre-existing social capital. There were 27 producers of “Chiapas Cream Cheese” and the members of the formal cheese maker organization from the state of Chiapas, Mexico that were interviewed. By the means of cluster analysis and the graphic design of friendship, the kinship, the “compadrazgo” knowledge, the collaboration and cooperation networks, we concluded that the structural activation must transcend the formal creation of an org

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Brass, Daniel J. "New Developments in Social Network Analysis." Annual Review of Organizational Psychology and Organizational Behavior 9, no. 1 (2022): 225–46. http://dx.doi.org/10.1146/annurev-orgpsych-012420-090628.

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This review of social network analysis focuses on identifying recent trends in interpersonal social networks research in organizations, and generating new research directions, with an emphasis on conceptual foundations. It is organized around two broad social network topics: structural holes and brokerage and the nature of ties. New research directions include adding affect, behavior, and cognition to the traditional structural analysis of social networks, adopting an alter-centric perspective including a relational approach to ego and alters, moving beyond the triad in structural hole and bro

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Yu Kyung Kim, Yu Kyung Kim, Myong Hyun Go Myong Hyun Go, Sonyong Kim Sonyong Kim, Jaeyeon Lee Jaeyeon Lee, and Kyungho Lee Kyungho Lee. "Evaluating Cybersecurity Capacity Building of ASEAN Plus Three through Social Network Analysis." 網際網路技術學刊 24, no. 2 (2023): 495–505. http://dx.doi.org/10.53106/160792642023032402031.

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The strategic rivalry between the United States and China is out in full swing in Southeast Asia. As the result, ASEAN is emerging both as a key player as well as a playground for pivotal global and regional actors. South Korea, Japan, and China known as ASEAN Plus Three, have strong economic, political, and technological ties with the region, and have leveraged their cyber capabilities to compete for influence in the region. This study evaluates the relative performances of the Plus Three&rsquo; cyber outreach efforts to the region by visualizing the complex web of actors and cyber cooper

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Lu, Yingjie, Xinwei Wang, Lin Su, and Han Zhao. "Multiplex Social Network Analysis to Understand the Social Engagement of Patients in Online Health Communities." Mathematics 11, no. 21 (2023): 4412. http://dx.doi.org/10.3390/math11214412.

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Social network analysis has been widely used in various fields including online health communities. However, it is still a challenge to understand how patients’ individual characteristics and online behaviors impact the formation of online health social networks. Furthermore, patients discuss various health topics and form multiplex social networks covering different aspects of their illnesses, including symptoms, treatment experiences, resource sharing, emotional expression, and new friendships. Further research is needed to investigate whether the factors influencing the formation of these t

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Arnandis-i-Agramunt, Ruben, and J. Javier Serrano-Lara. "El estudio del capital social a través del análisis de redes sociales para una gestión participada del turismo: una propuesta de red de gobernanza para Tierra Bobal (Valencia)." Revista de Estudios Andaluces, no. 50 (2025): 110–35. https://doi.org/10.12795/rea.2025.i50.06.

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En el marco de la gobernanza el sistema de relaciones a consolidar se vislumbra mucho más complejo que en el gobierno tradicional. Como instrumento disruptivo, innovador y promotor del territorio, la gobernanza precisa de la participación e involucración activa y permanente de todo agente, lo cual conlleva necesariamente la colaboración y el compromiso. Sin embargo, construir ese espacio de toma de decisiones (la verdadera finalidad de la gobernanza) supone una articulación precisa de las personas intervinientes, por lo que su elección debe estar fundamentada en aspectos como la confianza, la

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Karthika, S., and S. Bose. "A COMPARATIVE STUDY OF SOCIAL NETWORKING APPROACHES IN IDENTIFYING THE COVERT NODES." International Journal on Web Service Computing (IJWSC) 2, no. 3 (2011): 65–78. https://doi.org/10.5281/zenodo.4021830.

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This paper categories and compares various works done in the field of social networking for covert networks. It uses criminal network analysis to categorize various approaches in social engineering like dynamic network analysis, destabilizing covert networks, counter terrorism, key player, subgroup detection and homeland security. The terrorist network has been taken for study because of its network of individuals who spread from continents to continents and have an effective influence of their ideology throughout the globe. It also presents various metrics based on which the centrality of nod

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Karthika, S., and S. Bose. "A COMPARATIVE STUDY OF SOCIAL NETWORKING APPROACHES IN IDENTIFYING THE COVERT NODES." International Journal on Web Service Computing (IJWSC) 2, no. 3 (2011): 65–78. https://doi.org/10.5281/zenodo.3385671.

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This paper categories and compares various works done in the field of social networking for covert networks. It uses criminal network analysis to categorize various approaches in social engineering like dynamic network analysis, destabilizing covert networks, counter terrorism, key player, subgroup detection and homeland security. The terrorist network has been taken for study because of its network of individuals who spread from continents to continents and have an effective influence of their ideology throughout the globe. It also presents various metrics based on which the centrality of nod

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Bharsakle, Pragati Dnyaneshwar. "Social Networks for Threat Perception and Analysis." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 5073–77. http://dx.doi.org/10.22214/ijraset.2021.35911.

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In the current era of massive knowledge, high volumes of valuable knowledge is simply collected and generated. Social networks square measure samples of generating sources of those huge knowledge. Users in these social networks square measure usually coupled by some interdependency like friendly relationship. As these huge social networks continue to grow, there square measure things during which Associate in Nursing individual user needs to seek out common teams of friends so he will suggest a similar teams to alternative users. Many users of social Network are not aware about the number of s

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Rowley, Timothy J. "Social Network Analysis." Proceedings of the International Association for Business and Society 7 (1996): 999–1009. http://dx.doi.org/10.5840/iabsproc1996794.

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S., Sukharev O., and Kurmanov N.V. "Social Network Analysis." Advances in Economics and Business 2, no. 3 (2014): 121–26. http://dx.doi.org/10.13189/aeb.2014.020301.

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Jain, Susha, Mahaveer Jain, and Balasubramani R. "Social Network Analysis." IJARCCE 8, no. 5 (2019): 236–40. http://dx.doi.org/10.17148/ijarcce.2019.8543.

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Madani, Youness, Mohammed Erritali, Jamaa Bengourram, and Francoise Sailhan. "Social Network Analysis." Journal of Information Technology Research 13, no. 3 (2020): 142–55. http://dx.doi.org/10.4018/jitr.2020070109.

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Abstract:

Sentiment analysis has become an important field in scientific research in recent years. The goal is to extract opinions and sentiments from written text using artificial intelligence algorithms. In this article, we propose a new approach for classifying Twitter data into classes (positive, negative, and neutral). The proposed method is based on two approaches, a dictionary-based approach using the sentimental dictionary SentiWordNet, and an approach based on the fuzzy logic system (fuzzification, rule inference, and defuzzification). Experimental results show that our approach outperforms som

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Scott, John. "Social Network Analysis." Sociology 22, no. 1 (1988): 109–27. http://dx.doi.org/10.1177/0038038588022001007.

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Streeter, Calvin L., and David F. Gillespie. "Social Network Analysis." Journal of Social Service Research 16, no. 1-2 (1993): 201–22. http://dx.doi.org/10.1300/j079v16n01_10.

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Buštíková, Lenka. "Social Network Analysis." Czech Sociological Review 35, no. 2 (1999): 193–206. http://dx.doi.org/10.13060/00380288.1999.35.2.10.

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Comunian, Roberta. "Social network analysis." Regional Insights 2, no. 2 (2011): 3. http://dx.doi.org/10.1080/20429843.2011.9727917.

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