scholarly journals Stanley Wasserman e Katherine Faust, Social Network Analysis: Methods and Applications, Cambridge, Cambridge University Press, 1994, pp. 825.

1995 ◽  
Vol 25 (3) ◽  
pp. 582-584
Author(s):  
Mario Diani
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Cambridge University ◽  
Analysis Methods

Using Bibliometric Analysis to Measure and Understand the Gender Gap in Published Computing Books

2021 ◽  
Vol 13 (1) ◽  
pp. 31-44
Author(s):  
Arbana Kadriu ◽  
Kosovare Sahatqija ◽  
Lejla Abazi-Bexheti
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Computer Science ◽  
Bibliometric Analysis ◽  
Gender Gap ◽  
Keyword Extraction ◽  
Content Learning ◽  
Female Authors ◽  
Analysis Methods

The purpose of the research presented in this paper is the investigation of the gender gap in published computing books. The book titles from the DBLP computer science bibliography were the basis for this investigation. The conducted research involves co-authorship network exploration using social network analysis methods, as well as content learning by keyword extraction and ranking from book titles. The findings show that female authors tend to publish fewer books in computing than their male colleagues, and there is a huge gap of women regarding the collaboration. There are just two women names within the 50 author names with the highest social network top metrics, indicating collaboration. Regarding the extracted keywords, though there are differences, results do not show some huge divergences when it comes to the used language for computing titles.

Structural Analysis With Graphs

2020 ◽  
pp. 31-47
Keyword(s):  
Social Networks ◽  
Graph Theory ◽  
Social Network ◽  
Social Network Analysis ◽  
Structural Analysis ◽  
Network Analysis ◽  
Social Research ◽  
Analysis Methods

Graphs are mathematical formalisms that represent social networks very well. Analysis methods using graph theory have started to develop substantially along with the advancement of mathematics and computer sciences in recent years, with contributions from several disciplines including social network analysis. Learning how to use graphs to represent social networks is important not only for employing theoretical insights of this advanced field in social research, but also for the practical purposes of utilizing its mature and abundant tools. This chapter explores structural analysis with graphs.

Social Network Analysis: Methods and Applications

1996 ◽  
Vol 47 (2) ◽  
pp. 375 ◽  
Author(s):  
John Scott ◽  
Stanley Wasserman ◽  
Katherine Faust ◽  
Joseph Galaskiewicz
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Analysis Methods
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