Tree-based mining for discovering patterns of reposting behavior in microblog

Huilei He, Zhiwen Yu, Bin Guo, Xinjiang Lu, Jilei Tian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Discovering behavior patterns is important in online human interaction understanding (e.g., how information is shared through reposting, what roles do people play in a conversation). As reposting has become the key mechanism for information propagation in social media (e.g. microblog) and contributes a lot to users' participation in online events, it is important to explore how repost works. Different from previous studies, we make two contributions in this work: firstly, we analyze the patterns of reposting behavior from the perspective of microblog user and employ a special mining method which successfully find interesting results; secondly, our analysis is based on the Sina Weibo, which has different characteristics with Twitter. Specifically, information flow for a certain message in Weibo is represented as a tree. Tree-based pattern mining algorithm is presented to extract a number of interesting patterns which are useful for understanding information diffusion in the Weibo network.

Original languageEnglish
Title of host publicationAdvanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings
Pages372-384
Number of pages13
EditionPART 1
DOIs
StatePublished - 2013
Event9th International Conference on Advanced Data Mining and Applications, ADMA 2013 - Hangzhou, China
Duration: 14 Dec 201316 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8346 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Advanced Data Mining and Applications, ADMA 2013
Country/TerritoryChina
CityHangzhou
Period14/12/1316/12/13

Keywords

  • Information propagation
  • Microblog
  • Reposting behavior
  • Tree-based pattern mining

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