75,096 research outputs found
Community structure and ethnic preferences in school friendship networks
Recently developed concepts and techniques of analyzing complex systems
provide new insight into the structure of social networks. Uncovering recurrent
preferences and organizational principles in such networks is a key issue to
characterize them. We investigate school friendship networks from the Add
Health database. Applying threshold analysis, we find that the friendship
networks do not form a single connected component through mutual strong
nominations within a school, while under weaker conditions such
interconnectedness is present. We extract the networks of overlapping
communities at the schools (c-networks) and find that they are scale free and
disassortative in contrast to the direct friendship networks, which have an
exponential degree distribution and are assortative. Based on the network
analysis we study the ethnic preferences in friendship selection. The clique
percolation method we use reveals that when in minority, the students tend to
build more densely interconnected groups of friends. We also find an asymmetry
in the behavior of black minorities in a white majority as compared to that of
white minorities in a black majority.Comment: submitted to Physica
iSchools and Social Identity ??? A Social Network Analysis
We analyze the publication co-authorship network of an iSchool faculty community using ???Social Identity Theory??? as the theoretical lens. Initially, we discuss the need for a theoretical framework to analyze and interpret social network data. Then, we find out the patterns in the levels of interaction happening within the faculty community at an inter-group level. We grouped faculty members into different clusters according to several parameters such as their educational backgrounds, affiliations with research centers/labs, and h-indices. We based our analysis on this classification and we try to understand the relationship among social identity, group affiliation and academic collaborations. We conclude with the remarks that one could avoid idiosyncratic ways of interpreting social network data by using a proven theoretical lens like ???Social Identity Theory??
A New Approach to Analyzing Patterns of Collaboration in Co-authorship Networks - Mesoscopic Analysis and Interpretation
This paper focuses on methods to study patterns of collaboration in
co-authorship networks at the mesoscopic level. We combine qualitative methods
(participant interviews) with quantitative methods (network analysis) and
demonstrate the application and value of our approach in a case study comparing
three research fields in chemistry. A mesoscopic level of analysis means that
in addition to the basic analytic unit of the individual researcher as node in
a co-author network, we base our analysis on the observed modular structure of
co-author networks. We interpret the clustering of authors into groups as
bibliometric footprints of the basic collective units of knowledge production
in a research specialty. We find two types of coauthor-linking patterns between
author clusters that we interpret as representing two different forms of
cooperative behavior, transfer-type connections due to career migrations or
one-off services rendered, and stronger, dedicated inter-group collaboration.
Hence the generic coauthor network of a research specialty can be understood as
the overlay of two distinct types of cooperative networks between groups of
authors publishing in a research specialty. We show how our analytic approach
exposes field specific differences in the social organization of research.Comment: An earlier version of the paper was presented at ISSI 2009, 14-17
July, Rio de Janeiro, Brazil. Revised version accepted on 2 April 2010 for
publication in Scientometrics. Removed part on node-role connectivity profile
analysis after finding error in calculation and deciding to postpone
analysis
Real Collaboration: A Guide for Grantmakers
Looks at the role of the grantmaker in the promotion and support of inter-organizational collaboration. Makes recommendations on how foundation program officers can promote a more effective use of collaboration among grantees
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