Multimodal ensemble approach to identify and rank top-k influential nodes of scholarly literature using Twitter network
Abstract
Scholarly literature is an immense network of activities, linked via collaborations or information propagation. Analysing such network can be leveraged by harnessing rich semantic meaning of scholarly graph. Identifying and ranking top- k influential nodes from various domains of scholarly literature using social media data are still infancy. Social networking sites like Twitter provide an opportunity to create inventive graph-based measures to...
Paper Details
Title
Multimodal ensemble approach to identify and rank top-k influential nodes of scholarly literature using Twitter network
Published Date
Mar 18, 2019
Volume
46
Issue
4
Pages
437 - 458
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