Journal ArticleDOI
Edge betweenness centrality: A novel algorithm for QoS-based topology control over wireless sensor networks
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TLDR
EBC is based on the concept of betweenness centrality, which has been first introduced in the context of social network analysis, and measures the ''importance'' of each node in the network, and outperforms the competitor ones in all observed cases.About:
This article is published in Journal of Network and Computer Applications.The article was published on 2012-07-01. It has received 116 citations till now. The article focuses on the topics: Betweenness centrality & Network controllability.read more
Citations
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Social Internet of Vehicles for Smart Cities
TL;DR: The concept of the Social Internet of Vehicles is explored, a network that enables social interactions both among vehicles and among drivers, and possible applications and issues of security, privacy and trust that are likely to arise.
Posted Content
Network Community Detection: A Review and Visual Survey
Bisma S. Khan,Muaz A. Niazi +1 more
TL;DR: A visual survey of key literature using CiteSpace to identify the most influential, central, as well as active nodes using scientometric analyses and finds that Yong Wang is a pivot node with the highest centrality.
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Fuzzy rule-based faulty node classification and management scheme for large scale wireless sensor networks
TL;DR: A fuzzy rule-based faulty node classification and management scheme for WSNs that can detect and reuse faulty sensor nodes according to their fault status is proposed and a routing scheme that reuses the retrieved faulty nodes during the data routing process is employed.
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A novel distributed framework for optimizing query routing trees in wireless sensor networks via optimal operator placement
TL;DR: This paper presents an optimal distributed algorithm to adapt the placement of a single operator in high communication cost networks, such as a wireless sensor network, and is the first optimal and distributed algorithms to solve the 1-median (Fermat node) problem.
Journal ArticleDOI
Predicting elections from social media: a three-country, three-method comparative study
TL;DR: The authors introduced and evaluated the robustness of different volumetric, sentiment, and social network approaches to predict the elections in three Asian countries (Malaysia, India, and Pakistan).
References
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Journal ArticleDOI
A note on two problems in connexion with graphs
TL;DR: A tree is a graph with one and only one path between every two nodes, where at least one path exists between any two nodes and the length of each branch is given.
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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.
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Community structure in social and biological networks
Michelle Girvan,Mark Newman +1 more
TL;DR: This article proposes a method for detecting communities, built around the idea of using centrality indices to find community boundaries, and tests it on computer-generated and real-world graphs whose community structure is already known and finds that the method detects this known structure with high sensitivity and reliability.
Proceedings Article
The PageRank Citation Ranking : Bringing Order to the Web
TL;DR: This paper describes PageRank, a mathod for rating Web pages objectively and mechanically, effectively measuring the human interest and attention devoted to them, and shows how to efficiently compute PageRank for large numbers of pages.
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Finding and evaluating community structure in networks.
TL;DR: It is demonstrated that the algorithms proposed are highly effective at discovering community structure in both computer-generated and real-world network data, and can be used to shed light on the sometimes dauntingly complex structure of networked systems.