Analyzing Information Flow and Context for Facebook Fan Pages

Kwanho KIM; Josué OBREGON; Jae-Yoon JUNG

doi:10.1587/transinf.E97.D.811

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Analyzing Information Flow and Context for Facebook Fan Pages

Kwanho KIM, Josué OBREGON, Jae-Yoon JUNG

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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.

Publication: IEICE TRANSACTIONS on Information Vol.E97-D No.4 pp.811-814

Publication Date: 2014/04/01

Publicized

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)

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Authors

Kwanho KIM
  Incheon National University
Josué OBREGON
  Kyung Hee University
Jae-Yoon JUNG
  Kyung Hee University

Keyword

information flow, context analysis, process mining, text mining, Facebook

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Kwanho KIM, Josué OBREGON, Jae-Yoon JUNG, "Analyzing Information Flow and Context for Facebook Fan Pages" in IEICE TRANSACTIONS on Information, vol. E97-D, no. 4, pp. 811-814, April 2014, doi: 10.1587/transinf.E97.D.811.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.811/_p

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@ARTICLE{e97-d_4_811,
author={Kwanho KIM, Josué OBREGON, Jae-Yoon JUNG, },
journal={IEICE TRANSACTIONS on Information},
title={Analyzing Information Flow and Context for Facebook Fan Pages},
year={2014},
volume={E97-D},
number={4},
pages={811-814},
abstract={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.},
keywords={},
doi={10.1587/transinf.E97.D.811},
ISSN={1745-1361},
month={April},}

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TY - JOUR
TI - Analyzing Information Flow and Context for Facebook Fan Pages
T2 - IEICE TRANSACTIONS on Information
SP - 811
EP - 814
AU - Kwanho KIM
AU - Josué OBREGON
AU - Jae-Yoon JUNG
PY - 2014
DO - 10.1587/transinf.E97.D.811
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2014
AB - 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.
ER -