Similarity-based Complex Publication Network Analytics for Recommending Potential Collaborations.
作者： Ngoc Tu Luong , Tuong Tri Nguyen , Dosam Hwang , Chang Ha Lee , Jason J Jung
DOI:
关键词: Network analytics 、 Ranking (information retrieval) 、 Data science 、 World Wide Web 、 Rank (computer programming) 、 Similarity (psychology) 、 HITS algorithm 、 Computer science
摘要: As communities of researchers continue to become quite large and grow incessantly, collaboration among can be conducive greater research pro- ductivity. Nevertheless, it is difficult for a researcher find suitable collaborators from all around the world. In this paper, we have used bibliographic DBLP data extract information discover relationship between co-authors authors conferences. We evaluated some similarity measures developed an innovative random walk model potential given researcher. These were then design best rec- ommend co-authors. also applied HITS algorithm proposed ranking rank conferences with intent recommending or
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