DocumentCode :
3593345
Title :
Detecting Collaborative Fields Using Social Networks
Author :
Shin, Dongwook ; Kang, Jinbeom ; Choi, Joongmin ; Yang, Jaeyoung
Author_Institution :
Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan
Volume :
1
fYear :
2008
Firstpage :
325
Lastpage :
328
Abstract :
It is generally difficult for researchers to obtain information related to their own fields and novel technologies from huge data residing in the World Wide Web. Furthermore, they often try to apply them to other particular fields which are different from theirs. The main motivation of this phenomenon is to solve existing problems or improve the performance of their systems. Hence, it is important to detect collaborative fields in which technologies of particular fields are applied to another area to find various trends. In this paper, we propose a method to detect collaborative fields by using social networks representing the relations among authors of papers, and describe some experimental results to show the effectiveness of the proposed method when collaborative fields are detected by using social networks.
Keywords :
Internet; groupware; social sciences computing; World Wide Web; collaborative field detection; social networks; Collaborative work; Computer networks; Computer science; Data engineering; Data mining; Humans; Information management; International collaboration; Social network services; Web sites; Feature Selection; Recommendation Systems; Social Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
Print_ISBN :
978-0-7695-3322-3
Type :
conf
DOI :
10.1109/NCM.2008.80
Filename :
4624027
Link To Document :
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