Evolutionary clustering and community detection algorithms for social media health surveillance

The prominent rise of social networks within the past decade have become a gold mine for data mining operations seeking to model the real world through these virtual worlds. One of the most important applications that has been proposed is utilizing information generated from social networks as a sup...

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Bibliographic Details
Main Authors: Heba Elgazzar, Kyle Spurlock, Tanner Bogart
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827021000426