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" Algorithms for Modeling Mass Movements and their Adoption in Social Networks "
Fang Jin
Ramakrishnan, Narendran
Document Type
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Latin Dissertation
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Language of Document
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English
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Record Number
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804885
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Doc. No
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TL49721
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Call number
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1990225119; 10668529
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Main Entry
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Galonnier, Juliette
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Title & Author
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Algorithms for Modeling Mass Movements and their Adoption in Social Networks\ Fang JinRamakrishnan, Narendran
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College
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Virginia Polytechnic Institute and State University
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Date
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2016
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Degree
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Ph.D.
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field of study
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Computer Science
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student score
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2016
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Page No
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125
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Note
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Committee members: Cao, Yang; Chen, Feng; Lu, Chang-Tien; North, Chris
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Note
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Place of publication: United States, Ann Arbor; ISBN=978-0-355-34076-1
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Abstract
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Online social networks have become a staging ground for many modern movements, with the Arab Spring being the most prominent example. In an effort to understand and predict those movements, social media can be regarded as a valuable social sensor for disclosing underlying behaviors and patterns. To fully understand mass movement information propagation patterns in social networks, several problems need to be considered and addressed. Specifically, modeling mass movements that incorporate multiple spaces, a dynamic network structure, and misinformation propagation, can be exceptionally useful in understanding information propagation in social media.
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Subject
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Computer science
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Descriptor
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Applied sciences;Event detection;Group anomalies;Information propagation;Mass movement;Social networks
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Added Entry
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Ramakrishnan, Narendran
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Added Entry
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Computer ScienceVirginia Polytechnic Institute and State University
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