Academic literature on the topic 'Network’s role'

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Journal articles on the topic "Network’s role"

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Anthias, Taf, and Krishna Sankar. "The Network’s New Role." Queue 4, no. 4 (2006): 38–46. http://dx.doi.org/10.1145/1142055.1142069.

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Munusamy, Nagarajan, Sneha Vijayan, and M. Ezhilarasi. "Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective." Cybernetics and Information Technologies 21, no. 2 (2021): 136–65. http://dx.doi.org/10.2478/cait-2021-0024.

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Abstract Wireless networks play an important role in science, including medicine, agriculture, the military, geography, and so on. The main issue with a network of wireless sensors is how to manage resource utilization to extend its lifetime. This paper investigates the various aspects of increased energy usage that may improve network life. Variables related to energy consumption and various performance metrics are investigated in terms of energy efficiency. To investigate how the network’s energy usage can be managed, a quick overview of clustering protocols, routing protocols, MAC protocols, and load balancing protocols is conducted. This paper can provide researchers with an idea of the various parameters that influence energy consumption and what methodologies could be adapted by each parameter to conserve energy, thereby extending the network’s lifetime.
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Satpute, Ajay B., and Kristen A. Lindquist. "The Default Mode Network’s Role in Discrete Emotion." Trends in Cognitive Sciences 23, no. 10 (2019): 851–64. http://dx.doi.org/10.1016/j.tics.2019.07.003.

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Rodriguez, Nathaniel, Eduardo Izquierdo, and Yong-Yeol Ahn. "Optimal modularity and memory capacity of neural reservoirs." Network Neuroscience 3, no. 2 (2019): 551–66. http://dx.doi.org/10.1162/netn_a_00082.

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The neural network is a powerful computing framework that has been exploited by biological evolution and by humans for solving diverse problems. Although the computational capabilities of neural networks are determined by their structure, the current understanding of the relationships between a neural network’s architecture and function is still primitive. Here we reveal that a neural network’s modular architecture plays a vital role in determining the neural dynamics and memory performance of the network of threshold neurons. In particular, we demonstrate that there exists an optimal modularity for memory performance, where a balance between local cohesion and global connectivity is established, allowing optimally modular networks to remember longer. Our results suggest that insights from dynamical analysis of neural networks and information-spreading processes can be leveraged to better design neural networks and may shed light on the brain’s modular organization.
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Makarova, M. N., and A. K. Lebedeva. "THE ROLE OF LEADERSHIP AND SOCIAL TIES IN THE DEVELOPMENT OF HUMAN CAPITAL." Вестник Удмуртского университета. Социология. Политология. Международные отношения 3, no. 2 (2019): 139–47. http://dx.doi.org/10.35634/2587-9030-2019-3-2-139-147.

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The sociological aspects of studying human capital, leadership and social ties, are considered in this article. Sociological theories of human capital consider it in its connection with social capital that can be defined as an engagement in social relations, units and networks giving one some benefits. Social ties are the resource of development of human capital. The article shows that human capital can be evaluated from sociological perspective through the role of a creative class and new forms of ties that constitute integration on the intergroup level (weak ties). Such forms of communication significantly expand the sphere of opportunities for human development. The leadership acquires new functions of building nodes of networks that establish and develop social ties on different levels, and contribute to social transformation. Leadership networks demonstrate strength of weak ties that allows leaders to reach their goals through collaboration and sharing information with their own kind and to broad the scope of their activity. There are four types of leadership networks: peer leadership networks, organizational leadership networks, field-policy leadership networks, and collective leadership networks. Study of the leadership networks helps to research forms of communications, factors influencing their intensity, trust among the network’s actors etc. Analysis of the leadership networks includes such objectives as definition of network structure; their dynamics; evaluating ways of communications, and impacts of changes that occur as the result of their activity. Network analysis allows finding out the core and peripheral agents of network, and strong and weak ties between them.
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Johns, Matthew C., Ronald L. Burke, Kelly G. Vest, et al. "A growing global network’s role in outbreak response: AFHSC-GEIS 2008-2009." BMC Public Health 11, Suppl 2 (2011): S3. http://dx.doi.org/10.1186/1471-2458-11-s2-s3.

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Reay, Lizz, and Penny Burns. "The Role of Primary Health Networks and General Practitioners in Disasters: Nepean Blue Mountains Primary Health Network’s Preparedness Guide." Prehospital and Disaster Medicine 34, s1 (2019): s67. http://dx.doi.org/10.1017/s1049023x19001481.

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Introduction:Disasters are part of the Australian landscape. Bushfires, floods, cyclones, and drought reoccurring consistently across the continent. Primary Health Networks (PHNs) and general practitioners (GPs) are scattered across Australia and are inevitably involved when disasters strike their local communities. Limited guidance exists to guide their systematic involvement within the broader disaster response system. In October 2013, large bushfires swept through the NSW Blue Mountains. The response was unusual in its inclusion of NSW general practice networks within the response system, most crucially the local (now) Nepean Blue Mountains Primary Health Network (NBMPHN).Methods:The lessons learned by GPs and NBMPHN during the fires highlighted the need for GP preparedness to improve recovery outcomes. This led to the development of a living discussion document “Emergency management: the role of the GP,” created with input from the various GP groups. More recently, a PHN emergency preparedness guide aimed at strengthening communication and formalizing the role of the PHNs and GPs before, during, and after a natural disaster.Results:Clarity and implementation of a process for disaster preparedness have enabled a more proactive and coordinated approach to local emergency management with a distinct role for both the PHN and local GPs when responding to a natural disaster.Discussion:This presentation discusses lessons learned and the preparedness strategy now in place in the Nepean Blue Mountains PHN region, and launches the emergency preparedness guide that can be used and adapted by GPs and other PHNs across Australia.
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Hoewe, Jennifer, Kathryn Cramer Brownell, and Eric C. Wiemer. "The Role and Impact of Fox News." Forum 18, no. 3 (2020): 367–88. http://dx.doi.org/10.1515/for-2020-2014.

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Abstract Considering that cable news has become a primary source of political information for many Americans, this article examines the role and impact of Fox News in the United States, particularly as it compares to other news outlets. We begin by offering a historical analysis of Fox News’ formation and growth in popularity, including a review of existing scholarship on the network’s impact on news consumers. Prior research as well as an additional nationally-representative dataset reveals that two policy areas are particularly potent among Fox News’ consumers: immigration and climate change. Additionally, scholars have found initial evidence for the role of Fox News in shaping its viewers’ responses to the COVID-19 pandemic. We then consider the cognitive processing utilized by news consumers, explaining how it may differ among individuals who opt to consume Fox News and those who get news from other sources. We conclude by reviewing why three specific areas—immigration, climate change, and COVID-19—resonate so strongly with Fox News consumers.
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Zhao, Shu-Li, and Rong-Xia Hao. "The Generalized Connectivity of Bubble-Sort Star Graphs." International Journal of Foundations of Computer Science 30, no. 05 (2019): 793–809. http://dx.doi.org/10.1142/s0129054119500229.

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The connectivity plays an important role in measuring the fault tolerance and reliability of interconnection networks. The generalized [Formula: see text]-connectivity of a graph [Formula: see text], denoted by [Formula: see text], is an important indicator of a network’s ability for fault tolerance and reliability. The bubble-sort star graph, denoted by [Formula: see text], is a well known interconnection network. In this paper, we show that [Formula: see text] for [Formula: see text], that is, for any three vertices in [Formula: see text], there exist [Formula: see text] internally disjoint trees connecting them in [Formula: see text] for [Formula: see text], which attains the upper bound of [Formula: see text] given by Li et al. for [Formula: see text].
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Fearon, Thomas, and Usha M. Rodrigues. "The dichotomy of China Global Television Network’s news coverage." Pacific Journalism Review : Te Koakoa 25, no. 1&2 (2019): 102–21. http://dx.doi.org/10.24135/pjr.v25i1.404.

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Although much is made of the universalisation of ‘US-style’ journalism around the world and Chinese journalists’ shared professional values with counterparts in liberal-democratic countries (Zhang, 2009), the effect of these trends on journalism in China is yet to be fully explored. Using the 2015 Tianjin blasts as a case study, this article investigates China Global Television Network (CGTN) and CNN International’s coverage of the disaster. The empirical study finds that despite their overlapping news values, the two networks’ opposing ideological objectives contributed to different framings of the Tianjin blasts. Although CGTN, as a symbol of Chinese media’s presence on the world stage, has clearly travelled far from its past era of party-line journalism, it still hesitates to apportion responsibility to those in power. The authors argue that CGTN is increasingly torn by its dichotomous role as a credible media competing for audience attention on the world stage, and a vital government propaganda organ domestically.
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Dissertations / Theses on the topic "Network’s role"

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Pinto, Maikol Nascimento. "Gestão social, desenvolvimento e redes sociais: o estudo da incubadora de empreendimentos sociais da Associação Padre Leo Commissari." Pontifícia Universidade Católica de São Paulo, 2017. https://tede2.pucsp.br/handle/handle/19716.

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Submitted by Filipe dos Santos (fsantos@pucsp.br) on 2017-02-16T12:33:34Z No. of bitstreams: 1 Maikol Nascimento Pinto.pdf: 1255678 bytes, checksum: a7909d566aef76d7c890c3f431ef3414 (MD5)<br>Made available in DSpace on 2017-02-16T12:33:34Z (GMT). No. of bitstreams: 1 Maikol Nascimento Pinto.pdf: 1255678 bytes, checksum: a7909d566aef76d7c890c3f431ef3414 (MD5) Previous issue date: 2017-01-30<br>Fundação São Paulo - FUNDASP<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>This study intends to analyze how the process of social management and development from network’s role work, to check the interests that make the entrepreneurs search the incubated in solidarity economy of Association Padre Leo Commissari to start their companies and to check the network's role in the development of incubated companies. The research qualitative was made with secondary data that were used to characterize the neighborhood in which social incubator is inserted; and primary, of two companies linked to them. The informations taken and anayzed may check the entrepreneurs’ vision about the incubator and to know if they are in the network’s role have changed their lifes. The theoretical chapter of social management, development and network’s role has made possible to verify the entrepreneurs’ perception have about the incubator and the network’s role to which they belong to. Finally, there were some aspects related to learning and administration, to continuation and strengthening of the incubated enterprises, towards self-management, as well as the promotion of economic growth that a social incubator can make, through the provision of greater entrepreneurial opportunities to poorest population, creating their own companies<br>Este estudo pretende discutir a maneira como ocorre o processo de gestão social e desenvolvimento a partir das redes sociais, verificar os interesses que moveram os empreendedores a procurarem a incubadora em economia solidária da Associação Padre Leo Commissari, para iniciarem suas empresas e identificar o papel da rede no desenvolvimento das empresas incubadas. A pesquisa, de natureza qualitativa, foi realizada com dados secundários, que serviram para caracterizar o bairro no qual a incubadora social está inserida; e primários, de duas empresas ligadas a ela. As informações coletadas e analisadas permitiram verificar a percepção dos empreendedores acerca da incubadora e saber, sob a perspectiva deles, se o fato de estarem na rede social mudou suas vidas. O referencial teórico de gestão social, desenvolvimento e redes sociais possibilitou verificar também a percepção que os empreendedores têm acerca da incubadora e da rede social em que estão inseridos. Finalmente, observaram-se alguns aspectos relacionados ao aprendizado e à gestão administrativa, à continuidade e ao fortalecimento dos empreendimentos incubados, rumo à autogestão, como também a promoção de crescimento econômico que uma incubadora social pode ocasionar, por intermédio da concessão de maiores oportunidades empreendedoras à população menos favorecida, na criação de suas próprias empresas
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Myhrén, Per. "Open Service Innovation in Industrial Networks." Licentiate thesis, Karlstads universitet, Centrum för tjänsteforskning (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-72018.

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Constant development of new technologies in a rapidly changing and globalized world decreases product life cycles. Time-to-market is crucial for commercial success. This development requires resources to create new knowledge and skills within organizations and together in networks with other firms. Open innovation is an alternative for developing innovative products and services that takes advantage of external knowledge and give access to new market channels. Even though services is vital for economic growth and fits well with the open innovation model, there is little research on open service innovation. The purpose of the thesis is to extend knowledge on how service innovations emerge and evolve in open innovation nets in industrial networks. It also aims to follow the development from idea to a commercial service. The thesis describes organization for service innovations to emerge and develop in open service innovation nets. It also explains the actors involved and their different innovator roles in the development from idea to commercial services. The present research provide insights how the organization of the development work might differ between incremental and radical service innovation. there is a range of organizing templates (archetypes) that fit different types of development work. Where previous research on open service innovation has focused on radical service innovation present research suggests that open service innovation also can be a strategy for incremental service innovation. Present research shows how actors take on multiple innovator roles in the innovation process of open service innovation. The more radical changes, the more roles each actor takes on. Present research add a new innovator role to previous research, The Constitutional Monarch. The Constitutional Monarch has a central position in all archetypes, but as the name implies, has no decision power. The research also sheds light on how the hub firm deploys not one but a portfolio of network orchestration processes dependent on the archetype used for open service innovation.<br>The development of new technologies in a rapidly changing and globalized world decreases product life cycles, time to market is crucial. Firms can no longer rely solely on internal knowledge in new product-/service development. They require external resources to create new knowledge and skills within their organizations. Developing innovative products and services that takes advantage of external knowledge and give access to new market channels is labeled open innovation. Even though the open innovation model is well known and widely spread, there is little research on open service innovation. The aim of the thesis is to understand and describe how service innovations emerge and evolve in open innovation nets (groups) in industrial networks, and to follow the development from idea to a commercial service. The thesis describes organization for service innovations to emerge and develop in open service innovation nets. It also explains the actors involved and their different innovation roles in the development of service innovations in open service innovation nets. The present research provide insights how the organization of the development work might differ between incremental and radical service innovation. It suggests that open service innovation can be a strategy not only for radical but also for incremental service innovation. The thesis also present a new innovator role to add to existing research, The Constitutional Monarch. The Constitutional Monarch has a central position as third-party facilitator catalyzing the innovation process but has no decision power.
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Kenbeek, Seth. "Understanding the Roles of Network Structure and Distance in the Process of Natural Resource Policy Implementation." Thesis, University of Oregon, 2015. http://hdl.handle.net/1794/19242.

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Policy makers write policies that are implemented by actors at various levels of government. This results in policies that are implemented differently than how they were intended due to institutional contexts, pressure from the agency, personal beliefs, and collaboration between bureaucrats. This is especially true of natural resource policies, which are implemented at local scales by actors spread across the landscape. This research explores the effects that pressure from above, beliefs of individual actors, collaboration between actors, network structure, and distance between actors collectively have on policy implementation in federal natural resource agencies. A network modeling approach is employed to simulate the policy implementation process as a network of bureaucrats. Results indicate that network structure has little influence on the policy outcome, but adding distance alters the policy outcomes sensitivity to other parameters. The results illuminate the need to consider distance in policy implementation research.<br>10000-01-01
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Farooqui, Shikeb Arslan. "The role of complementarities in networks." Doctoral thesis, Universitat Pompeu Fabra, 2009. http://hdl.handle.net/10803/7407.

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This thesis is a collection of three principal chapters split into two parts. The first part presents chapter 1 on network design when effort decisions are global substitutes but communication through network links creates local complementarities and the network is subject to policing. Although it is motivated as a study of criminal networks, the model is general enough to encompass situations of collaborative R&D, employee poaching and peer effects. The second part presents chapters 2 and 3 on R&D collaboration. Chapter 2 empirically assesses the reasons that induce firms to collaborate in R&D projects and finds a strong reason in financial constraints. Chapter 3, firstly studies how firms within collaborative agreements protect their innovations. A comparison with non-collaborators unveils a systematic preference for strategic mechanisms such as secrecy. Chapter 3 then provides a theoretical rationale for this difference and offers additional predictions that are matched by the data.<br>Aquesta tesi és una recopilació de tres capítols principals, separada en dues parts. La primera part presenta el capítol 1 relatiu al disseny en xarxa quan les decisions sota esforç són substitutius globals. Però, en aquest context, la comunicació a través de les connexions de la xarxa crea complementarietats locals i la xarxa està subjecte a vigilància. Encara que aquest capítol està motivat com un estudi sobre les xarxes criminals, el model és bastant general i abasta situacions de R&D col·laboratiu, fuga de talents i efectes paritaris. La segona part presenta els capítols 2 i 3 relatius a la col·laboració en matèria de R&D. El capítol 2 avalua empíricament les raons que indueixen a les empreses a col·laborar entre elles en projectes de R&D, destacant sobre les altres raons les restriccions financeres. El capítol 3 estudia, en primer lloc, de quina manera les empreses que operen sota acords de col·laboració protegeixen les seves innovacions. Una comparació amb empreses no col·laboradores desvetlla una preferència sistemàtica per mecanismes estratègics com el secretisme. Seguidament, el capítol 3 proporciona una base teòrica que explica aquesta diferència i ofereix prediccions addicionals que s'ajusten a les dades.
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TOSHNIWAL, RISHI. "DYNAMIC CONFIGURATION AND LOAD BALANCING IN BLUETOOTH PERSONAL AREA NETWORKS." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1037911162.

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Wiesneth, Katharina [Verfasser], and Mathias [Akademischer Betreuer] Klier. "Enterprise Social Networks – Contributions to Research with respect to Actor Roles in Knowledge Management, the Role of Formal Hierarchies, and Network Evolution / Katharina Wiesneth ; Betreuer: Mathias Klier." Regensburg : Universitätsbibliothek Regensburg, 2017. http://d-nb.info/1137701676/34.

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Håkansson, Andreas, Magnus Gustafson, and Peter Jankevics. "The Role of Networks for Micro Firms." Thesis, Jönköping University, Jönköping International Business School, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-111.

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<p>Introduction: Each year thousands of micro firms are established in Sweden, not all firms will survive and grow; instead many will be forced out of business. Possible explanations of this phenomena could lie in the personality of the entrepreneur, the network of the micro firm as well as support from society and so on.</p><p>Problem: Prior research has showed that networks and networking are important for the establishment, development and growth of micro firms. The majority of prior research has been of a quantitative nature, which has resulted in great knowledge about structural dimensions while less is known about the interactional dimensions. It is because of the lack of qualitative knowledge that little is known about interactional dimensions in networks and networking activities.</p><p>Purpose: The purpose of the study is to investigate the role of networks and networking activities for micro firms.</p><p>Method: The research has the character of a qualitative case study. Data gathering has been done through six in-depth interviews with the founder or manager of six micro firms located in the facilities of Science Park in Jönköping. All information obtained from the interviews were transcribed and then analysed with a model developed by O’Donnell (2004).</p><p>Summary of analysis: The role of networks and networking activities for micro firms are of great importance for generating business. Our analysis show that many of the micro firms are proactive towards their customers while their relationship with suppliers and competitors varies in characteristics.</p>
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Frank, Christian. "Role-based configuration of wireless sensor networks." kostenfrei, 2007. http://e-collection.ethbib.ethz.ch/view/eth:30416.

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Larreguy, Arbesú Horacio Alejandro. "The role of networks in political economy." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81041.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 154-159).<br>This dissertation investigates the different roles that networks play in political economy. In the first chapter, I study how a political party uses electoral data to monitor and incentivize the political brokers who control its clientelistic networks. I study networks organized around rural communal lands in Mexico, which are largely controlled by the Institutional Revolutionary Party (PRI). I use the fact that the level at which brokers operate (the communal land) does not necessarily coincide with the level at which the electoral data is disclosed (the electoral section). Guided by a simple model, I compute a measure of how informative the available electoral data is about the performance of the PRI's political brokers, as a function of the degree of overlap between communal lands and electoral sections. I compare the vote share for the PRI in communal lands where the electoral data is more or less informative, both when the PRI does and does not have access to resources to fund and incentivize brokers. The results suggest that clientelistic networks contribute significantly to the enforcement of clientelistic transactions. In the second chapter, which is co-authored with Joana Monteiro, we study the role of media in compensating political biases. In particular, we analyze how media presence, connectivity and ownership affect the distribution of federal drought relief transfers to Brazilian municipalities. We find that municipalities that are not aligned with the federal government have a lower probability of receiving funds conditional on experiencing low precipitation. However, we show that the presence of radio stations compensates for this bias. This effect is driven by municipalities that have radio stations connected to a regional network rather than by the presence of local radio stations. In addition, the effect of network-connected radio stations increases with their network coverage. These findings suggests that the connection of a radio station to a network is important because it increases the salience of disasters, making it harder for the federal government to ignore non-allies. We show that our findings are not explained by the ownership and manipulation of media by politicians. In the third chapter, which is co-authored with Arun Chandrasekhar and Emily Breza, we shed light on the relationship between network characteristics and investment decisions through a lab experiment in the field. We focus on the role for third parties to act as informal contract enforcers. Our protocol builds on a basic two-party trust game with a sender and receiver, to which we introduce a third-party to serve as either a monitor or punisher. The ex-ante benefits of a third party judge are ambiguous. On one hand, a third party may result in larger sender transfers due to her ability to punish. On the other hand, the punisher might act in a way to build reputation or may crowd-out intrinsic motivation. Importantly, these costs and benefits of a punisher might vary with her centrality in the network. Our findings are consistent with both the role for the punisher to induce efficiency and to crowd out intrinsic motivation. They are also consistent with the effects of reputation-building by the punisher. Importantly, we find that very network-peripheral punishers are detrimental to efficiency, while network-central individuals may improve outcomes when given the technology to punish. We also show that these results cannot be explained by either the fact that the punisher also acts as a monitor, or by the punisher's characteristics such as elite status, educational attainment, caste, or proxies for wealth.<br>by Horacio Alejandro Larreguy Arbesú.<br>Ph.D.
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Vainula, Irja. "The role of business networks in internationalization." Master's thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/10778.

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Mestrado em Gestão e Estratégia Industrial<br>O case study integra os modelos incrementais de internacionalização, com a perspectiva de rede. Estes resultados mostram que, devido à limitação de recursos e das poucas relações em rede, a internacionalização inicial de empresa tem um padrão incremental. Como as empresas começaram a desenvolver as suas relações de rede, eles ganharam acesso a recursos de outras empresas. Através dos seus parceiros de rede, as empresas também tiveram acesso aos novos mercados internacionais e, consequentemente, acelerou-se o seu processo de internacionalização. Durante o processo de internacionalização, as empresas também podem ficar bloqueadas em relações pouco produtivas, que por sua vez inibe o desenvolvimento das suas actividades internacionais.<br>Based on multi case-study method, this thesis examines the role of the business networks on the internationalization process of three Portuguese companies. The study empirically integrates the stage models of internationalization with network perspective. These findings show that due to limited resources and limited network relationships, firm´s initial internationalization had an incremental pattern. As companies started to develop their network relationships, they gained access to other firms´ resources. Through their network partners, companies also gained access to new foreign markets and consequently hastened its internationalization process. During the internationalization process, firms may lock in unproductive relationships, which in turn inhibit the development of its international activities.
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Books on the topic "Network’s role"

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Zinzani, Marco. Market integration through 'network governance': The role of European agencies and networks of regulators. Intersentia, 2012.

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Doran, Derek. Network Role Mining and Analysis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53886-0.

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Surviving disaster: The role of social networks. Lyceum Books, 2012.

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Habibi Gharakheili, Hassan. The Role of SDN in Broadband Networks. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3479-4.

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Ferraiolo, David. Role-based access control. 2nd ed. Artech House, 2007.

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Ferraiolo, David. Role-based access controls. Artech House, 2003.

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Jain, Rekha. Integrated framework for increasing the effectiveness of knowledge networks: Roles of network providers and users. Indian Institute of Management, 2015.

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Gladwell, Simon James. Dopamine: A multifunctional neuromodulatory role in spinal sympathetic networks. University of Birmingham, 1998.

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Harrison, R. F. Risk -sensitive diagnosis and the role pf neural networks. University of Sheffield, Dept. of Automatic Control & systems Engineering, 1994.

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Armistead, Colin G. Supply networks and the changing role of operations managers. Cranfield School of Management, 1991.

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Book chapters on the topic "Network’s role"

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Davy, Jonathan, Jose Orlando Gomes, Aleksandr Volosiuk, et al. "The BRICSplus Network: A Historical Overview and Future Perspectives of the Network’s Role in Human Factors and Ergonomics." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96080-7_78.

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le Roux, Johannes J. "Molecular ecology of plant-microbial interactions during invasions: progress and challenges." In Plant invasions: the role of biotic interactions. CABI, 2020. http://dx.doi.org/10.1079/9781789242171.0340.

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Abstract Microbes are omnipresent, yet their interactions with invasive plants remain understudied. This is surprising, given the importance of microbes in plant community ecology and their influence on plant performance in new environments. Recent advances in molecular genetic approaches have opened the door to studying this unseen majority in great detail and to understand how they fit into ecological interaction networks. Molecular approaches allow rapid assessments of microbial diversity at reasonable cost while providing both taxonomic and evolutionary information. Here I discuss how these approaches have contributed to a better understanding of plant-microbial interactions in the context of biological invasions. By drawing insights from various case studies, I illustrate how next-generation sequencing (DNA barcoding) has revolutionized the way we understand such interactions. Tight-knit and coevolved mutualist (e.g. mycorrhizal) and antagonist (e.g. pathogen) interactions appear particularly promising to understand the structure and function of invasive plant-microbial interaction networks, the impacts of invasive plants on native networks and the vulnerability of native networks to infiltration by non-native species. I also discuss novel ways in which molecular data can aid the study of invasive plant-microbial interactions, such as incorporating phylogenetic data into network analyses to better understand the role of evolutionary history in network dynamics and how such dynamics respond to plant invasions. DNA barcoding of microbes also presents unique challenges to the study of network ecology, such as uncertainty in the legitimacy and efficiency of interactions. Future research should incorporate overall plant-associated microbial communities (microbiomes) into interaction networks to better understand the role microbes play during plant invasions.
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Trim, Richard. "The Role of Cognition." In Metaphor Networks. Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230287556_1.

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Lerner, Jürgen. "Role Assignments." In Network Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_9.

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Kind, Andreas, Roman Pletka, and Marcel Waldvogel. "The Role of Network Processors in Active Networks." In Active Networks. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24715-9_3.

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Saxena, Rahul, and Mahipal Jadeja. "Network Centrality Measures: Role and Importance in Social Networks." In Principles of Social Networking. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3398-0_2.

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Davis, Al, Norman P. Jouppi, Moray McLaren, et al. "The Role of Photonics in Future Datacenter Networks." In Optical Networks. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4630-9_5.

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Emer, Carine, and Sérgio Timóteo. "How a network approach has advanced the field of plant invasion ecology." In Plant invasions: the role of biotic interactions. CABI, 2020. http://dx.doi.org/10.1079/9781789242171.0324.

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Abstract Every organism on Earth, whether in natural or anthropogenic environments, is connected to a complex web of life, the famous 'entangled bank' coined by Darwin in 1859. Non-native species can integrate into local 'banks' by establishing novel associations with the resident species. In that context, network ecology has been an important tool to study the interactions of non-native species and the effects on recipient communities due to its ability to simultaneously investigate the assembly and disassembly of species interactions as well as their functional roles. Its visually appealing tools and relatively simple metrics gained momentum among scientists and are increasingly applied in different areas of ecology, from the more theoretical grounds to applied research on restoration and conservation. A network approach helps us to understand how plant invasions may or may not form novel species associations, how they change the structure of invaded communities, the outcomes for ecosystem functionality and, ultimately, the implications for the conservation of ecological interactions. Networks have been widely used on pollination studies, especially from temperate zones, unveiling their nested patterns and the mechanisms by which non-native plants integrate into local communities. Yet, very few papers have used network approaches to assess plant invasion effects in other systems such as plant-herbivore, plant-pathogen or seed-dispersal processes. Here we describe how joining network ecology with plant invasion biology started and how it has developed over the last few decades. We show the extent of its contribution, despite contradictory results and biases, to a better understanding of the role of non-native plant species in shaping community structure. Finally, we explore how it can be further improved to answer emerging questions.
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Mahmoud, Magdi S. "Role of Delays." In Control and Estimation Methods over Communication Networks. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04153-7_2.

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Hollingum, Jack. "The Role of Factory Networks." In Implementing an Information Strategy in Manufacture. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-662-30188-3_6.

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Conference papers on the topic "Network’s role"

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Hadi, Mohammad F., and Victor H. Barocas. "Generating Random Fiber Network Topologies That Mimic Previously Characterized Networks." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14615.

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Fibrous proteins, such as collagen and elastin, form the underlying structure of many soft tissues. These proteins form micrometer-scale networks of varying topology that play a role in governing the mechanics of tissues at larger length scales [1]. The relationship between a network’s topology and its mechanics, however, are poorly understood. This disconnect presents an important challenge in constructing realistic multiscale models of tissues informed by collagen network micrographs and subsequently reconstructed networks [2]. Accurate multiscale simulations may require thousands to millions of such unique networks. It is imperative that a method be developed to generate random networks that are functionally similar to ones derived experimentally. In the current study, we present a probabilistic method for generating de novo networks that mimic the mechanical properties of previously characterized networks. We chose Delaunay and Voronoi networks as model targets because they have been used successfully to model the mechanics of collagenous tissues [3] and since their topologies are well characterized. Understanding the role of topology in network mechanics is fundamental to building improved models of the mechanics of fibrous soft tissues — models that can aid in the rational design of engineered tissues or that can help assess the mechanical impact of damage or disease on native tissues.
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Sun, Pengpeng, Yong Liu, Guohua Wu, and Zhiyong Duan. "Research on Fault Diagnosis of Reactor Coolant Accident in Nuclear Power Plant Based on Radial Basis Function and Fuzzy Neural Network." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16138.

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Abstract Nuclear power plants (NPPs) are widely used in the world. After three nuclear accidents, people propose higher of the safety and reliability on NPPs. Reactor coolant system (RCS) in the NPP directly affects whether the heat can be exported and radioactivity can be inclusive. It plays an important role of the NPPs safety. So, it is great significance of fault diagnosis for RCS in NPP. Although many scholar had carried out research on fault diagnosis of NPPs, different networks may lead to different results in a system. Therefore, this paper chooses a system and uses different neural networks (NN) for comparative analysis which can provide advice for follow-up research. In the paper, RCS has been analyzed and typical fault have been analyzed through PCTRAN simulator. On this basis, two kinds of NN combined with fuzzy systems: radial basis function (RBF) and back propagation (BP) are used for fault diagnosis and comparative analysis. Loss of coolant accident, single pump failure, loss of feed water are set for simulation experiment. Simulation experiment shows that BP network’s hidden layer nodes is less than RBF-NN, but iteration speed of BP network is faster; accuracy of fault diagnosis based on BP-NN is higher than RBF-NN; fuzzy-NN for fault diagnosis is faster than NN.
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Vennelakanti, Ravigopal, Malarvizhi Sankaranarayanasamy, Ramyar Saeedi, et al. "Multimodal Mobility Framework: Towards Seamless Mobility Experience." In 2021 Joint Rail Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/jrc2021-58377.

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Abstract Mobility is no longer just a necessity for travelers, but choices among several possible routes and transportation modes. Urban passenger rail transport plays an essential role because it is affordable, convenient, safe, and fast. On the other hand, rail lines are limited to high passenger density corridors. Inevitably, rail has to be placed together with different transport modes, forming a multimodal network. However, to enable this integration with other modes of transport, numerous practical problems remain, such as making a smooth transition from the existing siloed, mode specific operational structure towards an interconnected system of transportation modes and business models for a seamless connected journey. The current isolated operational structure lacks a single truth and accurate visibility, which further discourages participation from augmenting transportation modes and leads to the extended reaction time for new technology integration. This research article introduces a Multimodal Mobility (MMM) solution framework that provides a functional interface to integrate and synchronize the railroad operations with other public transit networks (including train-bus-rapid transits) and micro-mobility services. The known approach to addressing the users’ seamless mobility experience entails a centralized, prearranged, a priori knowledge and mechanism for operating intermodal transport systems. In contrast, the method defined in this paper focuses on a market-driven demand-responsive system that allows for dis-intermediation in a network of peer-level transportation modes operations. The framework facilitates blockchain-based decentralized and multi-organizational engagement. The focus here is the role of railroad in the multimodal ecosystem and its performance advancements in this integrated solutions framework. Leveraging a combination of graph analytics and machine learning algorithms, we provide methods to address challenges in encoding spatial and temporal dependencies of multimodal transit networks and handle complex optimization problems such as mixed time window and volume variation for resource allocation and transit operational analytics. This enables operation of different transit modes with varied resolution and flexibility for operational parameters like time, capacity, ridership, revenue management, etc. The analytics enable solutions for recommendations on synchronizing and integrating operations of transportation systems. Further, the network’s decentralization and modular handling enable market-driven co-optimization of operational resources across various transportation modes to ensure seamless transit experience for users.
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Vukovic, Alex, Michel Savoie, and Heng Hua. "Towards Next Generation of Switching." In ASME 2003 International Electronic Packaging Technical Conference and Exhibition. ASMEDC, 2003. http://dx.doi.org/10.1115/ipack2003-35043.

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The heart of next generation networks is currently centered on building blocks for performing transport, switching, routing, amplification, attenuation, storage and conversion functions. One of the key elements of the network is a switch, which might perform as an optical switch (optical-electrical-optical, or OEO) or a “purely” photonic switch (optical-optical-optical or OOO). The merits and benefits of both in actual network applications are analyzed and outlined. Although both switches have their own advantages as a network element, the full judgement of their role in next generation networks requires an “overall network view”. Network functionalities such as grooming capabilities, scalability, traffic management, protection, line equalization or performance monitoring are those taken in competitive analyses in terms to understand some impacts of switch choice in the network. It is expected that both optical and photonic switches will play complementary roles in next generation networks. Combined with new communication technology advances in routing, transport, amplification and wavelength conversion, both switches will be the cornerstones of next generation solutions, each one with its specific role.
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Javari, Amin, Tyler Derr, Pouya Esmailian, Jiliang Tang, and Kevin Chen-Chuan Chang. "ROSE: Role-based Signed Network Embedding." In WWW '20: The Web Conference 2020. ACM, 2020. http://dx.doi.org/10.1145/3366423.3380038.

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Guo, Xuan, Qiang Tian, Wang Zhang, Wenjun Wang, and Pengfei Jiao. "Learning Stochastic Equivalence based on Discrete Ricci Curvature." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/201.

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Role-based network embedding methods aim to preserve node-centric connectivity patterns, which are expressions of node roles, into low-dimensional vectors. However, almost all the existing methods are designed for capturing a relaxation of automorphic equivalence or regular equivalence. They may be good at structure identification but could show poorer performance on role identification. Because automorphic equivalence and regular equivalence strictly tie the role of a node to the identities of all its neighbors. To mitigate this problem, we construct a framework called Curvature-based Network Embedding with Stochastic Equivalence (CNESE) to embed stochastic equivalence. More specifically, we estimate the role distribution of nodes based on discrete Ricci curvature for its excellent ability to concisely representing local topology. We use a Variational Auto-Encoder to generate embeddings while a degree-guided regularizer and a contrastive learning regularizer are leveraged to improving both its robustness and discrimination ability. The effectiveness of our proposed CNESE is demonstrated by extensive experiments on real-world networks.
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Layton, Astrid, Bert Bras, and Marc Weissburg. "Designing Sustainable Manufacturing Networks: The Role of Exclusive Species in Achieving Ecosystem-Type Cycling." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68334.

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Ecology is proving to be an innovative source for design principles. Studies have examined how ecological principles can enhance sustainability in industrial networks. Ecologically-inspired manufacturing networks tend to focus on supporting symbiotic relationship formation, creating a cyclical flow structure that has been shown to result in efficiency and resource consumption improvements. Despite successes, bio-inspired manufacturing networks still fail to accurately mimic ecosystem cycling. The roles of exclusive actors and specialized predators in achieving the high cycling characteristic of ecosystems is investigated here. Exclusive actors participate in the network as either only a consumer (predator) or only a producer (prey). Specialized predators consume only one producer inside the system boundary. The populations of these special actors in manufacturing networks versus ecological food webs speaks to the potential influence these roles have on the cycling the network achieves. The trends shown here suggest less exclusivity is necessary for achieving ecologically-strong network cycling.
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Pei, Yulong, Jianpeng Zhang, George Fletcher, and Mykola Pechenizkiy. "DyNMF: Role Analytics in Dynamic Social Networks." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/531.

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Roles of nodes in a social network (SN) represent their functions, responsibilities or behaviors within the SN. Roles typically evolve over time, making role analytics a challenging problem. Previous studies either neglect role transition analysis or perform role discovery and role transition learning separately, leading to inefficiencies and limited transition analysis. We propose a novel dynamic non-negative matrix factorization (DyNMF) approach to simultaneously discover roles and learn role transitions. DyNMF explicitly models temporal information by introducing a role transition matrix and clusters nodes in SNs from two views: the current view and the historical view. The current view captures structural information from the current SN snapshot and the historical view captures role transitions by looking at roles in past SN snapshots. DyNMF efficiently provides more effective analytics capabilities, regularizing roles by temporal smoothness of role transitions and reducing uncertainties and inconsistencies between snapshots. Experiments on both synthetic and real-world SNs demonstrate the advantages of DyNMF in discovering and predicting roles and role transitions.
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Abdur Rahman, Md, Abdulmotaleb El Saddik, and Wail Gueaieb. "Data visualization: From body sensor network to social networks." In 2009 IEEE International Workshop on Robotic and Sensors Environments (ROSE). IEEE, 2009. http://dx.doi.org/10.1109/rose.2009.5356001.

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Gyoneva, Lazarina, Mohammad F. Hadi, Yoav Segal, Kevin D. Dorfman, and Victor H. Barocas. "Role of Lateral Interactions in Type IV Collagen Network Mechanics." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14625.

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The basement membrane is a specialized part of the extra-cellular matrix. It is usually characterized as a scaffold for epithelial cells but in some tissues it serves other, mechanical, roles [1]. The mechanical properties of the basement membrane are mainly determined by one of its main constituents — type IV collagen. Unlike the well-known fibrous type I collagen, collagen IV assembles into planar networks (Fig. 1) [2]. The α 1(IV) and α 2(IV) collagen IV chains assemble into the so-called major chain network, present in all basement membranes. The α 3(IV), α 4(IV), α 5(IV) collagen IV chains form the minor chain network which is found only in the adult basement membranes of the kidney glomerular capillaries (GBM), ocular lens (LBM), cochlea, and the testes [3]. The minor chains have a higher number of cysteine residues, allowing them to form a higher number of lateral interactions. In the minor chain network, the greater potential to interact laterally manifests in the formation of super-coils, which are rarely observed in the major chain network [4]. Increasing the number of cross-links in a polymeric material is known to increase material stiffness; therefore, it is believed that the minor chain network confers basement membranes with additional strength and stability [5]. In the hereditary disease Alport syndrome, a mutation causes the absence of the minor chain network. The GBM and LBM of Alport patients appear weakened and unable to meet their mechanical demands, further supporting this theory [6]. The objective of this study was to evaluate the importance of cross-linking in the minor chains for the mechanical properties of type IV collagen networks, specifically in the GBM and LBM where the absence of the minor chains has an observed mechanical effect.
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Reports on the topic "Network’s role"

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Henderson, K., B. Gallagher, T. Eliassi-Rad, et al. RolX: Role Extraction and Mining in Large Networks. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1111134.

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Cullen, Kristen, Charles Palus, and Craig Appaneal. Developing network perspective: Understanding the basics of social networks and their role in leadership. Center for Creative Leadership, 2014. http://dx.doi.org/10.35613/ccl.2014.1019.

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Rubio, Anna, Emma Reyes, Carlo Mantovani, et al. European High Frequency Radar network governance. EuroSea, 2021. http://dx.doi.org/10.3289/eurosea_d3.4.

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This report describes the governance of the European HF radar network including: the landscape of the Ocean observation networks and infrastructures, the role and links between operators of observational systems and stakeholders, the role and activities of the EuroGOOS HF radar Task Team in building a sound community strategy, the roadmap of the community with current achievements and future work lines.
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Bernier, Quinn. Networks for resilience: The role of social capital. International Food Policy Research Institute, 2014. http://dx.doi.org/10.2499/9780896295674.

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Carney, Duane T. Unmanned Aircraft Systems' Role In Network Centric Warfare. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada482272.

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Benioff, Ron, Morgan Bazilian, Sadie Cox, et al. Low Emission Development Strategies: The Role of Networks and Knowledge Platforms. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1260335.

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Fusion, Joe. The Role of Environmental Dynamics in the Emergence of Autocatalytic Networks. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2456.

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Schmidt, Ralf-Roman, Paolo Leoni, and Hamid Aghaie. The future of DH and the role of solar thermal energy. IEA SHC Task 55, 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0007.

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Solar thermal (ST) energy is one of the few renewable heat sources that is available almost everywhere and can bring multiple benefits to district heating and cooling (DHC) networks (on an environmental and systemic level) with very low operation costs and risks. However, the current share of ST in DHC networks is almost zero on a global scale.
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Korotka, Milana, Paul Stephen Benneworth, and Tiago Ratinho. The role of universities in innovation networks: The role of proximity on innovation dynamics in knowledge community precincts. Center for Higher Education Policy Studies, 2017. http://dx.doi.org/10.3990/4.2589-9716.2017.01.

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Thorne, Mike. Network Centric Warfare and the Changing Role of the Signal Corps. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada424057.

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