IEICE TRANSACTIONS on Information
Discovery of Information Diffusion Process in Social Networks
Summary :
Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.
- Publication
- IEICE TRANSACTIONS on Information Vol.E95-D No.5 pp.1539-1542
- Publication Date
- 2012/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E95.D.1539
- Type of Manuscript
- LETTER
- Category
- Office Information Systems, e-Business Modeling
Authors
Keyword
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Kwanho KIM, Jae-Yoon JUNG, Jonghun PARK, "Discovery of Information Diffusion Process in Social Networks" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 5, pp. 1539-1542, May 2012, doi: 10.1587/transinf.E95.D.1539.
Abstract: Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.1539/_p
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@ARTICLE{e95-d_5_1539,
author={Kwanho KIM, Jae-Yoon JUNG, Jonghun PARK, },
journal={IEICE TRANSACTIONS on Information},
title={Discovery of Information Diffusion Process in Social Networks},
year={2012},
volume={E95-D},
number={5},
pages={1539-1542},
abstract={Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.},
keywords={},
doi={10.1587/transinf.E95.D.1539},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Discovery of Information Diffusion Process in Social Networks
T2 - IEICE TRANSACTIONS on Information
SP - 1539
EP - 1542
AU - Kwanho KIM
AU - Jae-Yoon JUNG
AU - Jonghun PARK
PY - 2012
DO - 10.1587/transinf.E95.D.1539
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2012
AB - Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.
ER -
English
