عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
TL49721
انگلیسی
Algorithms for Modeling Mass Movements and their Adoption in Social Networks
[Thesis]
Fang Jin
Ramakrishnan, Narendran
Virginia Polytechnic Institute and State University
2016
125
Committee members: Cao, Yang; Chen, Feng; Lu, Chang-Tien; North, Chris
Place of publication: United States, Ann Arbor; ISBN=978-0-355-34076-1
Ph.D.
Computer Science
Virginia Polytechnic Institute and State University
2016
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.
Computer science
Applied sciences;Event detection;Group anomalies;Information propagation;Mass movement;Social networks
Galonnier, Juliette
Ramakrishnan, Narendran
Computer Science
Virginia Polytechnic Institute and State University
1990225119; 10668529
مطالعه متن کتاب p
[Thesis]
276903
a
Y
