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A geneology of social justice: Brita...

Strand, Michael.

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A geneology of social justice: Britain, 1834-1914.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A geneology of social justice: Britain, 1834-1914./
作者:	Strand, Michael.
面頁冊數:	425 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-06(E), Section: A.
Contained By:	Dissertation Abstracts International75-06A(E).
標題:	History, European. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3585326
ISBN:	9781303776182

A geneology of social justice: Britain, 1834-1914.
Strand, Michael.

A geneology of social justice: Britain, 1834-1914. - 425 p.

Source: Dissertation Abstracts International, Volume: 75-06(E), Section: A.

Thesis (Ph.D.)--University of Notre Dame, 2013.

This item must not be sold to any third party vendors.

With the recent availability of large-scale social data sets, social networks have become open to quantitative analysis via the methods of statistical physics. We examine the statistical properties of a real large-scale social network, generated from cellular phone call-trace logs. We find this network, like many other social networks to be assortative (r = 0.31) and clustered (i.e., strongly transitive, C = 0.21). We measure fluctuation scaling to identify the presence of internal structure in the network and find that structural inhomogeneity effectively disappears at the scale of a few hundred nodes, though there is no sharp cutoff. We introduce an agent-based model of social behavior, designed to model the formation and dissolution of social ties. The model is a modified Metropolis algorithm containing agents operating under the basic sociological constraints of reciprocity, communication need and transitivity. The model introduces the concept of a social temperature. We go on to show that this simple model reproduces the global statistical network features (incl. assortativity, connected fraction, mean degree, clustering, and mean shortest path length) of the real network data and undergoes two phase transitions, one being from a "gas" to a "liquid" state and the second from a liquid to a glassy state as function of this social temperature.

ISBN: 9781303776182Subjects--Topical Terms:

1018076
History, European.

A geneology of social justice: Britain, 1834-1914.
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500 $a Adviser: Lynette Spillman.
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520 $a With the recent availability of large-scale social data sets, social networks have become open to quantitative analysis via the methods of statistical physics. We examine the statistical properties of a real large-scale social network, generated from cellular phone call-trace logs. We find this network, like many other social networks to be assortative (r = 0.31) and clustered (i.e., strongly transitive, C = 0.21). We measure fluctuation scaling to identify the presence of internal structure in the network and find that structural inhomogeneity effectively disappears at the scale of a few hundred nodes, though there is no sharp cutoff. We introduce an agent-based model of social behavior, designed to model the formation and dissolution of social ties. The model is a modified Metropolis algorithm containing agents operating under the basic sociological constraints of reciprocity, communication need and transitivity. The model introduces the concept of a social temperature. We go on to show that this simple model reproduces the global statistical network features (incl. assortativity, connected fraction, mean degree, clustering, and mean shortest path length) of the real network data and undergoes two phase transitions, one being from a "gas" to a "liquid" state and the second from a liquid to a glassy state as function of this social temperature.
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