Reconstructing Diffusion Model for Virality Detection in News Spread Networks
Volume: 10, Issue: 1, Pages: 21 - 37
Published: Jan 1, 2019
Abstract
In today's competitive world, organizations take advantage of widely-available data to promote their products and increase their revenue. This is achieved by identifying the reader's preference for news genre and patterns in news spread network. Spreading news over the internet seems to be a continuous process which eventually triggers the evolution of temporal networks. This temporal network comprises of nodes and edges, where node corresponds...
Paper Details
Title
Reconstructing Diffusion Model for Virality Detection in News Spread Networks
Published Date
Jan 1, 2019
Volume
10
Issue
1
Pages
21 - 37
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