TopSeer: A Novel Scholar Search Engine based on Community Detection in Citation Network

DOI

10.2991/jcis.2008.122How to use a DOI?

Keywords

Scholar Search Engine, Community Detection, Citation Network

Abstract

There has been considerable interest in development of scholar search engines. A disadvantage of current scholar search engines is that they have not explored the relationship among theses fully. A novel scholar search engine is proposed here to fill this gap, which can detect different topics hidden in a large volume of theses to help researchers find their interested theses easily. A new community detection algorithm in citation networks is proposed here to achieve detecting topics. This algorithm has time complexity O(c*n) in a sparse citation network, where n is the number of nodes, and c is related to the average degree of nodes and the initial number of communities. Initial experiments show that this algorithm produces effective result on a standard test dataset.

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ming Zhong
AU  - Cao Zhong
AU  - Jinghua
PY  - 2008/12
DA  - 2008/12
TI  - TopSeer: A Novel Scholar Search Engine based on Community Detection in Citation Network
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 733
EP  - 738
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.122
DO  - 10.2991/jcis.2008.122
ID  - Zhong2008/12
ER  -