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Investigating Centrality Measures in Social Networks with Community Structure [chapter]

Stephany Rajeh, Marinette Savonnet, Eric Leclercq, Hocine Cherifi
2020 Studies in Computational Intelligence  
Although there has been a great deal of work dealing with this issue, the vast majority of classical centrality measures are agnostic of the community structure characterizing many social networks.  ...  Centrality measures are crucial in quantifying the influence of the members of a social network.  ...  Note that in Retweets Copenhagen network, the community-aware centrality measures show high correlation with the classical centrality measures degree and betweenness but low to medium correlation with  ... 
doi:10.1007/978-3-030-65347-7_18 fatcat:onn6dpfwu5dabejhnrcm57qacq

Comparing Community-Aware Centrality Measures in Online Social Networks [chapter]

Stephany Rajeh, Marinette Savonnet, Eric Leclercq, Hocine Cherifi
2021 Lecture Notes in Computer Science  
Community-aware centrality measures tackle this problem by exploiting the community structure of a network.  ...  Overall, results show that K-shell with Community and Community-based Centrality measures are the most accurate in identifying influential nodes under a single-spreader problem.  ...  Discussion This study aims to investigate the behavior of popular community-aware centrality measures in online social networks.  ... 
doi:10.1007/978-3-030-91434-9_25 fatcat:hm5ed54burfwbi4edduid57vxq

Exploring the structure of social media application-based information-sharing clinical networks in a community in Japan using a social network analysis approach

Junji Haruta, Sho Tsugawa, Kazunari Ogura
2020 Family Medicine and Community Health  
Additionally, the professions forming the most central nodes were investigated based on their ranking to identify those with a central role in the networks.  ...  We investigated the structural characteristics of the target networks using several measures for SNA, including indegree centrality and outdegree centrality, which reflect the number of incoming and outgoing  ...  Acknowledgements The authors sincerely appreciate Takumi Komorita, who provided data through "MeLL+ community".  ... 
doi:10.1136/fmch-2020-000396 pmid:32978234 fatcat:go2z7gwjezf6bmrmqztjefzdcy

Social Centrality using Network Hierarchy and Community Structure [article]

Rakhi Saxena, Sharanjit Kaur, Vasudha Bhatnagar
2018 arXiv   pre-print
Inspired by this idea, we propose a novel centrality measure SC (Social Centrality) for actors in social networks.  ...  Ignoring hierarchy and community structure, which are inherent in all human social networks, is the primary cause of this inadequacy.  ...  Our Contributions In this paper, we introduce Social Centrality (SC) as novel centrality measure that exploits network hierarchy and community structure in social networks.  ... 
arXiv:1806.08964v1 fatcat:v25deekhjjdm3g2cyvbcgj6ztu

Co-citation and cluster analyses of extant literature on social networks

Wen-Lung Shiau, Yogesh K. Dwivedi, Han Suan Yang
2017 International Journal of Information Management  
Therefore, subsequent scholars can investigate problems related to measuring complex networks. Group 2 was named "community structure."  ...  Measurement of relationships can be used to assess the strangth of ties between users or organization. With network structure and relationship we could measure network centrality (Borgatti 2005) .  ... 
doi:10.1016/j.ijinfomgt.2017.04.007 fatcat:i5igjlktbfdfnfuehlktha5fl4

Patterns of Interactions in Complex Social Networks Based on Coloured Motifs Analysis [chapter]

Katarzyna Musial, Krzysztof Juszczyszyn, Bogdan Gabrys, Przemysław Kazienko
2009 Lecture Notes in Computer Science  
Introduction The investigation of the communication patterns in the complex social networks is a very resource-consuming task.  ...  In order to evaluate the distribution of motifs their concentration is measured for a set of random networks then compared with the network being investigated.  ...  network during academic year -in order to check how known periodic changes in University's business profile and users' activity affect the local topology of its social network.  ... 
doi:10.1007/978-3-642-03040-6_74 fatcat:tp5zwp2uy5amrctewc3sjs5cjm

On the robustness of centrality measures against link weight quantization in social networks

Sho Tsugawa, Yukihiro Matsumoto, Hiroyuki Ohsaki
2015 Computational and mathematical organization theory  
measures through simulations and experiments utilizing network generation models that generate synthetic social networks and real social network datasets.  ...  In social network analysis, individuals are represented as nodes in a graph, social ties among them are represented as links, and the strength of the social ties can be expressed as link weights.  ...  -Weighted Evolving with Community Structure (WECS) model (Li and Chen, 2006) The WECS model is a network generation model that models the formation of community structure in a social network by the evolution  ... 
doi:10.1007/s10588-015-9188-7 fatcat:lr2hioslwfgj5pdclrrxso3o5y

A Social Network Discovery Model for Digital Forensics Investigations

Alexander J. Karran, John Haggerty, David J. Lamb, Mark John Taylor, David Llewellyn-Jones
2011 International Workshop on Digital Forensics and Incident Analysis  
This paper focuses on the investigatory process and posits a model for social network discovery for use in digital investigations.  ...  Our continued reliance on email communications ensures that this type of data remains a major source of evidence during a digital investigation.  ...  This study uses a number of measures associated with social network analysis to identify key nodes.  ... 
dblp:conf/wdfia/KarranHLTL11 fatcat:as7lmfalobcezbbjazqfzerg3q

Social Network Analysis and Online Learning Communities in Higher Education: A Systematic Literature Review

Shazia K. Jan, Panos Vlachopoulos, Mitch Parsell
2019 Online Learning  
This paper presents the results of a systematic literature review which sets out to explore the use of social network analysis (SNA) for investigating online learning communities in higher education.  ...  We found that while SNA is effective in detecting prominent participants, sub-groups and certain aspects of a CoP, a specific SNA measure cannot be correlated with a particular presence in a CoI.  ...  A network provides the social structure underpinning a community while a community provides the social mechanism through which knowledge is generated within a network.  ... 
doi:10.24059/olj.v23i1.1398 fatcat:xsktwk6mdncupbzvrd7eda6nuq

Uncovering Criminal Behavior with Computational Tools [chapter]

Emilio Ferrara, Salvatore Catanese, Giacomo Fiumara
2015 Social Phenomena  
In this chapter we explore the opportunities brought in by advanced social network analysis techniques to study criminal behaviors and dynamics in heterogeneous communication media, along multiple dimensions  ...  We present some usecases inspired by real-world criminal investigations where we used LogViewer to study criminal networks reconstructed from mobile phone and social interactions to identify criminal behaviors  ...  There are two fundamentally different class of centrality measures in communication networks.  ... 
doi:10.1007/978-3-319-14011-7_10 fatcat:gqaxvkorejfuxikh4tzd6ffzhi

Identifying Structural Heterogeneities between Online Social Networks for Effective Word-of-Mouth Marketing

Kai-Yu Wang, Narongsak Thongpapanl, Hui-Ju Wu, I-Hsien Ting
2011 2011 International Conference on Advances in Social Networks Analysis and Mining  
This research investigates structural heterogeneities between online social networks in different product categories.  ...  We collected data from four online networks in different product categories from the most popular social networking site in Taiwan.  ...  Network Structures and WOM Communication Researchers have investigated the effect of the network structure between online and offline social networks on WOM communication [7] .  ... 
doi:10.1109/asonam.2011.24 dblp:conf/asunam/WangTWT11 fatcat:2uzjawz4abb7hf7tpu5wkt6ase

"who is Key...?" - Characterizing Value Adding Users in Enterprise Social Networks

Katharina Berger, Julia Klier, Mathias Klier, Alexander Richter
2014 European Conference on Information Systems  
Against this background, we investigate the structural characteristics of value adding users in ESN using qualitative text analysis and Social Network Analysis.  ...  Whereas the use of Enterprise Social Networks (ESN) is a pervasive topic in research and practice, both parties are still struggling to come to a better understanding of the role and impact of ESN in and  ...  network structure of social networks, and ESN in particular.  ... 
dblp:conf/ecis/BergerKKR14 fatcat:yivhs2h54nbvhowmyhebttevyu

The web mirrors value in the real world: comparing a firm's valuation with its web network position

Qiaoyun Yun, Peter A. Gloor
2015 Computational and mathematical organization theory  
This paper compares a firm's innovation and performance with its online Web presence measured through the Web network structure.  ...  Prominence in the online social network affords access for worldwide firms to communicate with each other.  ...  as the main indicators to empirically measure a firm's online social networks structure.  ... 
doi:10.1007/s10588-015-9189-6 fatcat:rjn4zyjkbvfstj25qnj6fnqy6i

The Web Mirrors Value in the Real World – Comparing a Firm's Valuation with Its Web Network Position

Qiaoyun Yun, Peter A. Gloor
2012 Social Science Research Network  
This paper compares a firm's innovation and performance with its online Web presence measured through the Web network structure.  ...  Prominence in the online social network affords access for worldwide firms to communicate with each other.  ...  as the main indicators to empirically measure a firm's online social networks structure.  ... 
doi:10.2139/ssrn.2157278 fatcat:7b24rt233zah7feacoaf765m74

Feasibility Study of Social Network Analysis on Loosely Structured Communication Networks

Jan William Johnsen, Katrin Franke
2017 Procedia Computer Science  
These measures has previously been used on small and structured general social networks.  ...  These measures has previously been used on small and structured general social networks.  ...  Investigators already have centrality measures available in tools they use, such as IBM i2 Analyst's Notebook.  ... 
doi:10.1016/j.procs.2017.05.172 fatcat:w3bxxbkhe5gozca5fl4jwsnjlm
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