Network Community Analysis Based Enhancement of Online Discussion Forums

Krishnan, Soundarya; Khincha, Rishab; Goveas, Neena

doi:10.1145/3430984.3431066

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Betweenness Centrality1

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2021

2022

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Cited by 2 publications

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“…In (Krishnan et al 2021) the authors use the betweenness centrality in the online discussion forum for the relevant content based on the leader (topic) for the discussion. The authors in (Vilca and Zhao 2020) classify networks' dynamics with the high-level classification technique using the betweenness centrality.…”

Section: Betweenness Centralitymentioning

confidence: 99%

Centrality Measures in Finding Influential Nodes for the Big-Data Network

Gopalakrishnan

Sridharan

Swaminathan

2021

Handbook of Smart Materials, Technologies, and Devices

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Network analysis determines node-to-node connectivity and examines each node's features. Various tools are available in the literature to study networks like graph theoretical, statistical, and many. As the graph plays a vital role in representing networks, the centrality measurements play an essential role in network analysis. The centrality measures use various metrics for evaluating how important the node is. The centrality predicts the characteristics and importance of the nodes in the network. In this review, selected 16 centrality measures presented along with their implementations.

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Section: Betweenness Centralitymentioning

confidence: 99%