Journal ArticleDOI
Flocking based evolutionary computation strategy for measuring centrality of online social networks
Dhinesh Babu L D,Ebin Deni Raj +1 more
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TLDR
The robustness of the FBCS centrality is found to be better than other centrality measures, and can be used in applications such as finding the most prestigious node and for discovering the node which can influence maximum number of users in an online social network.About:
This article is published in Applied Soft Computing.The article was published on 2017-09-01. It has received 3 citations till now. The article focuses on the topics: Katz centrality & Random walk closeness centrality.read more
Citations
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Empirical social network analysis in sustainable supply chain in Vietnam
TL;DR: In this article, the implications of information sharing and transparency on sustainable supply chain proficiencies are explored in developing countries including Vietnam, using social network analysis (SNA) to investigate information sharing flows between staff in Vietnamese industry.
Journal ArticleDOI
Patterns of democracy? Social network analysis of parliamentary Twitter networks in 12 countries
TL;DR: In this paper, a large-scale comparison of parliamentary Twitter networks in 12 countries to improve the understanding of the influence of the country's democratic system on network behavior and elite polarization was performed.
Journal ArticleDOI
Fuzzy-based fake information detection algorithm to define the user trust on the content of social networks
TL;DR: A fuzzy detection algorithm is proposed to identify the trustable content in social media using Twitter social network platform and the efficiency of the proposed approach is well established.
References
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Journal ArticleDOI
Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Journal ArticleDOI
Emergence of Scaling in Random Networks
TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Book
Social Network Analysis: Methods and Applications
TL;DR: This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of Dyadic and Triadic Interaction Models, which describes the relationships between actor and group measures and the structure of networks.
Journal ArticleDOI
Social Network Sites: Definition, History, and Scholarship
danah boyd,Nicole B. Ellison +1 more
TL;DR: This publication contains reprint articles for which IEEE does not hold copyright and which are likely to be copyrighted.
Journal ArticleDOI
Centrality in social networks conceptual clarification
TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.