The local and global structure of knowledge production in an emergent research field: An exponential random graph analysis

[Eugene Garfield]

The local and global structure of knowledge production in an emergent research 
field: An exponential random graph analysis

Author(s): Gondal, N (Gondal, Neha)
Source: SOCIAL NETWORKS  Volume: 33  Issue: 1  Pages: 20-30  DOI: 
10.1016/j.socnet.2010.09.001  Published: JAN 2011  

Abstract: Previous research has characterized knowledge networks by diffuse 
connectivity and/or clusters and the absence of centrality. In contrast, 
exponential random graph models used in this article demonstrate that the 
uncertainty and centralized influence typical of an emerging area of research 
leads to the creation of a densely interconnecting core that acts to cohere the 
network. Moreover, eclecticism and innovativeness, also characteristic of a 
developing area, lead to a diffusely connected structure. The data, comprising 
2200 authors and 76 papers have been manually coded from articles on the 
feminization of the labor force in Asia. (C) 2010 Elsevier B.V. All rights reserved.

Language: English
Document Type: Article
Author Keywords: Knowledge networks; Emergent literature; Exponential 
random graph models; Bipartite networks
KeyWords Plus: P-ASTERISK MODELS; SOCIAL NETWORKS; AFFILIATION 
NETWORKS; CITATION; LABOR; SPECIALTIES; COHESION; COLLABORATION; 
REPUTATION; ECONOMICS

Addresses: Rutgers State Univ, Dept Sociol, New Brunswick, NJ 08901 USA
Reprint Address: Gondal, N (reprint author), Rutgers State Univ, Dept Sociol, 26 
Nichol Ave, New Brunswick, NJ 08901 USA

E-mail Address: ngondal at sociology.rutgers.edu
ISSN: 0378-8733
URL: http://www.sciencedirect.com/science/article/pii/S0378873310000468