Algorithms for Modeling Mass Movements and their Adoption in Social Networks
نام عام مواد
[Thesis]
نام نخستين پديدآور
Fang Jin
نام ساير پديدآوران
Ramakrishnan, Narendran
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
Virginia Polytechnic Institute and State University
تاریخ نشرو بخش و غیره
2016
مشخصات ظاهری
نام خاص و کميت اثر
125
يادداشت کلی
متن يادداشت
Committee members: Cao, Yang; Chen, Feng; Lu, Chang-Tien; North, Chris
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Place of publication: United States, Ann Arbor; ISBN=978-0-355-34076-1
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
Ph.D.
نظم درجات
Computer Science
کسي که مدرک را اعطا کرده
Virginia Polytechnic Institute and State University
امتياز متن
2016
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.