Finding Rising Stars in Social Networks
نویسندگان
چکیده
This paper addresses the problem of finding rising stars in academic social networks. Rising stars are the authors which have low research profile in the beginning of their career but may become prominent contributors in the future. An effort for finding rising stars named PubRank is proposed, which considers mutual influence and static ranking of conferences or journals. In this work an improvement of PubRank is proposed by considering authors’ contribution based mutual influence and dynamic publication venue scores. Experimental results show that proposed enhancements are useful and better rising stars are found by our proposed methods in terms of average citations based performance evaluation. Effect of parameter alpha and damping factor is also studied in detail.
منابع مشابه
Searching for Rising Stars in Bibliography Networks
Identifying the rising stars is an important but difficult human resource exercise in all organizations. Rising stars are those who currently have relatively low profiles but may eventually emerge as prominent contributors to the organizations. In this paper, we propose a novel PubRank algorithm to identify rising stars in research communities by mining the social networks of researchers in ter...
متن کاملCocaRank: A Collaboration Caliber-based Method for Finding Academic Rising Stars
Evaluating the scientific impact of scholars has been studied by researchers from various disciplines for a long time. However, very few efforts have been devoted to evaluate the future potential of researchers based on their performance at the initial stage of scientific careers. Academic rising stars represent junior researchers who may not be very outstanding among the peers at the initial s...
متن کاملfinding influential individual in Social Network graphs using CSCS algorithm and shapley value in game theory
In recent years, the social networks analysis gains great deal of attention. Social networks have various applications in different areas namely predicting disease epidemic, search engines and viral advertisements. A key property of social networks is that interpersonal relationships can influence the decisions that they make. Finding the most influential nodes is important in social networks b...
متن کاملFinding the Number of Members with Certain Relationships in Social Networks and Big Size Organizations using Copositive Programming
In social networks and big size organizations, finding the number of members that all of them have a certain relationship w* is an important problem for managers, as well the number of members that none of them has not the relationship (w*). Considering the members as vertices and the relationship as edges, w* and w* denote the clique number and the number of edges in the independent graph, re...
متن کاملRetrieving Rising Stars in Focused Community Question-Answering
In Community Question Answering (CQA) forums, there is typically a small fraction of users who provide high-quality posts and earn a very high reputation status from the community. These top contributors are critical to the community since they drive the development of the site and attract traffic from Internet users. Identifying these individuals could be highly valuable, but this is not an ea...
متن کامل