MuICE: Mutual Influence and Citation Exclusivity Author Rank

被引：31

作者：

Amjad, Tehmina ^{[1
]}

Daud, Ali ^{[1
]}

Che, Dunren ^{[2
]}

Akram, Atia ^{[1
]}

机构：

[1] Int Islamic Univ, Dept Comp Sci & Software Engn, Sect H-10, Islamabad 44000, Pakistan

[2] So Illinois Univ, Dept Comp Sci, Carbondale, IL 62901 USA

来源：

INFORMATION PROCESSING & MANAGEMENT | 2016年 / 52卷 / 03期

关键词：

Academic social networks; Ranking of authors; Author impact; Mutual influence; Citation analysis; H-INDEX; PAGERANK; MODEL;

D O I：

10.1016/j.ipm.2015.12.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With constant growth in size of analyzable data, ranking of academic entities is becoming an attention grabbing task. For ranking of authors, this study considers the author's own contribution, as well as the impact of mutual influence of the co-authors, along with exclusivity in their received citations. The ranking of researchers is influenced by the ranking of their coauthors, more so if co-authors are seniors. Tracking the citations received by an author is also an important factor to measure standing of an author. This study proposes Mutual Influence and Citation Exclusivity Author Rank (MuICE) algorithm. We performed a sequence of experiments to calculate the MuICE Rank. First, we calculated Mutual Influence (MuInf) considering three different factors: the number of papers, the number of citations and the author's appearance as first author. Secondly, we computed MuICE incorporating all three factors of MuInf along with the exclusivity in citations received by an author. Empirically, it is shown that the proposed methods generate substantial results. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：374 / 386

页数：13

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