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Analyzing Information Flow and Context for Facebook Fan Pages
Kwanho KIM Josué OBREGON Jae-Yoon JUNG
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2014/04/01
Online ISSN: 1745-1361
Type of Manuscript: Special Section LETTER (Special Section on Data Engineering and Information Management)
information flow, context analysis, process mining, text mining, Facebook,
Full Text: FreePDF
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.