Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective

被引：26

作者：

He, Bing ^{[1
]}

Ding, Ying ^{[1
]}

Tang, Jie ^{[3
]}

Reguramalingam, Vignesh ^{[2
]}

Bollen, Johan ^{[2
]}

机构：

[1] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47405 USA

[2] Indiana Univ, Sch Informat & Comp, Bloomington, IN USA

[3] Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China

来源：

JOURNAL OF INFORMETRICS | 2013年 / 7卷 / 01期

基金：

美国国家卫生研究院;

关键词：

Scientific collaboration; Network analysis; Subgraph detection; INFORMATION-SCIENCE; LIBRARY; IMPACT;

D O I：

10.1016/j.joi.2012.09.005

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper proposes a framework to analyze the interdisciplinary collaboration in a coauthorship network from a meso perspective using topic modeling: (1) a customized topic model is developed to capture and formalize the interdisciplinary feature; and (2) the two algorithms Diversity Subgraph Extraction (DSE) and Constraint-based Diversity Subgraph Extraction (CDSE) are designed and implemented to extract a meso view, i.e. a diversity subgraph of the interdisciplinary collaboration. The proposed framework is demonstrated using a coauthorship network in the field of computer science. A comparison between DSE and Breadth First Search (BSF)- based subgraph extraction favors DSE in capturing the diversity in interdisciplinary collaboration. Potential possibilities for studying various research topics based on the proposed framework of analysis are discussed. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：117 / 128

页数：12

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