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  5. Organization of networks with tagged nodes and biased links: A priori distinct communities. The case of intelligent design proponents and Darwinian evolution defenders

Organization of networks with tagged nodes and biased links: A priori distinct communities. The case of intelligent design proponents and Darwinian evolution defenders

Author(s)
Rotundo, Giulia
Ausloos, Marcel
Date Issued
2010
Type
Article
Abstract
Among the topics of opinion formation it is of interest to observe the characteristics of networks with a priori distinct communities. The citation network(s) between selected members of the Neocreationist and Intelligent Design and the Darwinian Evolution communities are unfolded through the available internet citations. The resulting adjacency matrix is not symmetric. A generalization of considerations pertaining to the case of networks with tagged nodes and biased links, directed or undirected, is presented. The main characteristic coefficients describing the structure of such networks are outlined. The structural features are discussed searching for statistical aspects of the communities. The degree distributions, each network’s assortativity, specific global and local clustering coefficients and the Average Overlap Indices are especially calculated since the distribution of elements in the rectangular submatrices represent inter-community connections. The various closed and open triangles made from nodes, distinguishing the community, are listed. The z-scores of patterns are calculated. One can distinguish between opinion leaders, followers and main rivals and briefly interpret their relationships through intuitively expected behavior in defence of an opinion. Suggestions for more elaborate models describing such communities and their subsequent structures are found in conclusions.
Citation
G. Rotundo, M. Ausloos, "Organization of networks with tagged nodes and biased links: A priori distinct communities. The case of intelligent design proponents and Darwinian evolution defenders", Physica A, Elsevier, ISSN: 0378-4371, (2010) 389 (23) 5479-5494.
Subjects

Citation networks; In...

Handle
http://hdl.handle.net/2067/1506
File(s)
Thumbnail Image
Name

R1.doc

Size

21.5 KB

Format

Microsoft Word

Checksum (MD5)

8e6316345fbdd4a34645f28f738bd9af

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