Analyzing Information Flow and Context for Facebook Fan Pages

Kwanho KIM
Josué OBREGON
Jae-Yoon JUNG

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E97-D    No.4    pp.811-814
Publication Date: 2014/04/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E97.D.811
Type of Manuscript: Special Section LETTER (Special Section on Data Engineering and Information Management)
Category: 
Keyword: 
information flow,  context analysis,  process mining,  text mining,  Facebook,  

Full Text: FreePDF(1001.7KB)
Summary: 
As the recent growth of online social network services such as Facebook and Twitter, people are able to easily share information with each other by writing posts or commenting for another's posts. In this paper, we firstly suggest a method of discovering information flows of posts on Facebook and their underlying contexts by incorporating process mining and text mining techniques. Based on comments collected from Facebook, the experiment results illustrate how the proposed method can be applied to analyze information flows and contexts of posts on social network services.