Finding Rising Stars in Co-Author Networks via Weighted Mutual Influence Ali Daud a,b Naif Radi Aljohani a Rabeeh Ayaz Abbasi a,c a Faculty of Computing and a Faculty of Computing and c Department of Computer Science, Information Technology, King Information Technology, King Quaid-i-Azam University, Islamabad, Abdulaziz University, Jeddah, Saudi Abdulaziz University, Jeddah, Saudi Pakistan Arabia Arabia
[email protected] [email protected] [email protected] b b d Zahid Rafique Tehmina Amjad Hussain Dawood b Department of Computer Science b Department of Computer Science d Faculty of Computing and and Software Engineering, and Software Engineering, Information Technology, University International Islamic University, International Islamic University, of Jeddah, Jeddah, Saudi Arabia Islamabad, Pakistan Islamabad, Pakistan
[email protected] [email protected] [email protected] a Khaled H. Alyoubi a Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
[email protected] ABSTRACT KEYWORDS Finding rising stars is a challenging and interesting task which is Bibliographic databases; Citations; Author Order; Rising Stars; Mutual being investigated recently in co-author networks. Rising stars are Influence; Co-Author Networks 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 1. INTRODUCTION rising stars. WMIRank exploits influence of co-authors’ citations, The rapid evolution of scientific research has created large order of appearance and publication venues. Comprehensive volumes of publications every year, and is expected to continue in experiments are performed to analyze the performance of near future [21].