IEICE TRANSACTIONS on Information
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Time Graph Pattern Mining for Network Analysis and Information Retrieval
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Summary :
Graph pattern mining has played important roles in network analysis and information retrieval. However, temporal characteristics of networks have not been estimated sufficiently. We propose time graph pattern mining as a new concept of graph mining reflecting the temporal information of a network. We conduct two case studies of time graph pattern mining: extensively discussed topics on blog sites and a book recommendation network. Through examination of case studies, we ascertain that time graph pattern mining has numerous possibilities as a novel means for information retrieval and network analysis reflecting both structural and temporal characteristics.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.4 pp.733-742
- Publication Date
- 2014/04/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.733
- Type of Manuscript
- Special Section PAPER (Special Section on Data Engineering and Information Management)
- Category
Authors
Yasuhito ASANO
Kyoto University
Taihei OSHINO
Kyoto University
Masatoshi YOSHIKAWA
Kyoto University
Keyword
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Yasuhito ASANO, Taihei OSHINO, Masatoshi YOSHIKAWA, "Time Graph Pattern Mining for Network Analysis and Information Retrieval" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 4, pp. 733-742, April 2014, doi: 10.1587/transinf.E97.D.733.
Abstract: Graph pattern mining has played important roles in network analysis and information retrieval. However, temporal characteristics of networks have not been estimated sufficiently. We propose time graph pattern mining as a new concept of graph mining reflecting the temporal information of a network. We conduct two case studies of time graph pattern mining: extensively discussed topics on blog sites and a book recommendation network. Through examination of case studies, we ascertain that time graph pattern mining has numerous possibilities as a novel means for information retrieval and network analysis reflecting both structural and temporal characteristics.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.733/_p
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@ARTICLE{e97-d_4_733,
author={Yasuhito ASANO, Taihei OSHINO, Masatoshi YOSHIKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Time Graph Pattern Mining for Network Analysis and Information Retrieval},
year={2014},
volume={E97-D},
number={4},
pages={733-742},
abstract={Graph pattern mining has played important roles in network analysis and information retrieval. However, temporal characteristics of networks have not been estimated sufficiently. We propose time graph pattern mining as a new concept of graph mining reflecting the temporal information of a network. We conduct two case studies of time graph pattern mining: extensively discussed topics on blog sites and a book recommendation network. Through examination of case studies, we ascertain that time graph pattern mining has numerous possibilities as a novel means for information retrieval and network analysis reflecting both structural and temporal characteristics.},
keywords={},
doi={10.1587/transinf.E97.D.733},
ISSN={1745-1361},
month={April},}
Copy
TY - JOUR
TI - Time Graph Pattern Mining for Network Analysis and Information Retrieval
T2 - IEICE TRANSACTIONS on Information
SP - 733
EP - 742
AU - Yasuhito ASANO
AU - Taihei OSHINO
AU - Masatoshi YOSHIKAWA
PY - 2014
DO - 10.1587/transinf.E97.D.733
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2014
AB - Graph pattern mining has played important roles in network analysis and information retrieval. However, temporal characteristics of networks have not been estimated sufficiently. We propose time graph pattern mining as a new concept of graph mining reflecting the temporal information of a network. We conduct two case studies of time graph pattern mining: extensively discussed topics on blog sites and a book recommendation network. Through examination of case studies, we ascertain that time graph pattern mining has numerous possibilities as a novel means for information retrieval and network analysis reflecting both structural and temporal characteristics.
ER -
English
