Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks

Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks

The behavior of peoples' request for a post on online social media is a stochastic process that makes post's ranking highly skewed in nature. We mean peoples interest for a post can grow/decay exponentially or linearly. Considering this nature of the evolutionary peoples' interest, th...

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Bibliographic Details
Main Authors: Asif Khan, Jian Ping Li, Naeem Ahmad, Shuchi Sethi, Amin Ul Haq, Sarosh H. Patel, Sabit Rahim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Retrieval-ranking
trend prediction
recommender system
social media
information retrieval
Online Access:https://ieeexplore.ieee.org/document/9007680/

Internet

https://ieeexplore.ieee.org/document/9007680/

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