TopSeer: A Novel Scholar Search Engine based on Community Detection in Citation Network
- 10.2991/jcis.2008.122How to use a DOI?
- Scholar Search Engine, Community Detection, Citation Network
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.
- © 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/).
Cite this article
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 -