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Detecting Collaborative Fields Using Social Networks

Title
Detecting Collaborative Fields Using Social Networks
Author
최중민
Keywords
Social Networks; Recommendation Systems; Feature Selection
Issue Date
2008-09
Publisher
IEEE
Citation
2008 Fourth International Conference on Networked Computing and Advanced Information Management, Page. 325 - 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. © 2008 IEEE.
URI
https://ieeexplore.ieee.org/document/4624027https://repository.hanyang.ac.kr/handle/20.500.11754/104870
ISBN
978-076953322-3
DOI
10.1109/NCM.2008.80
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학과) > Articles
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