Understanding and predicting burst phenomena in social media

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K00420
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Web informatics, Service informatics
• Research Institution: University of Tsukuba
• Principal Investigator: Oka Mizuki 筑波大学, システム情報系, 准教授 (10512105)
• Co-Investigator(Kenkyū-buntansha): 池上 高志 東京大学, 大学院総合文化研究科, 教授 (10211715) ; 橋本 康弘 東京大学, 大学院新領域創成科学研究科, 特任研究員 (10376494)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: ソーシャルメディア / ソーシャルタギング / Yule-Simon過程

Outline of Final Research Achievements

Social media such as Facebook, Twitter, Instagram etc. are widely used as information sharing tool. These social media are drawing attention as a research platform to understand the emergent dynamics of collective behavior and group attention. In this research, we focused on "tags" and developed a mathematical model on how new tags are created and used and conducted detailed analysis to understand their dynamics.

Free Research Field

ウェブサイエンス、人工生命、複雑系