Finding Rising Stars in Co-Author Networks via Weighted Mutual Influence
Published in In the proceedings of Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Recommended citation: Ali Daud, Naif Aljohani, Rabeeh Abbasi, Zahid Rafique, Tehmina Amjad, Hussain Dawood, Khaled Alyoubi, "Finding Rising Stars in Co-Author Networks via Weighted Mutual Influence." In the proceedings of Proceedings of the 26th International Conference on World Wide Web Companion, 2017. https://doi.org/10.1145/3041021.3054137
Finding rising stars is a challenging and interesting task which is being investigated recently in co-author networks. Rising stars are authors who have a low research profile in the start of their career but may become experts in the future. This paper introduces a new method Weighted Mutual Influence Rank (WMIRank) for finding rising stars. WMIRank exploits influence of co-authors' citations, order of appearance and publication venues. Comprehensive experiments are performed to analyze the performance of WMIRank in comparison to baseline methods, which have ignored weighted mutual influence. AMiner data for years 1995-2000 is used for experiments. List of top 30 authors as per proposed and baseline methods are compared for their average number of papers, average number of citations and achievements. Experimental results provide convincing evidence of the effectiveness of the investigated weighted mutual influence.