Journal ArticleDOI
Choosing a centrality measure: Epidemiologic correlates in the Colorado Springs study of social networks☆
Richard Rothenberg,John J. Potterat,Donald E. Woodhouse,William W. Darrow,Stephen Q. Muth,Alden S. Klovdahl +5 more
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In this article, a large network of persons who practice risky behaviors in an area of low prevalence for HIV transmission was analyzed, and eight measures of centrality were compared, and they demonstrated substantial concordance in ranking as noncentral all but one of the HIV positive persons in a large connected component of 341 persons.About:
This article is published in Social Networks.The article was published on 1995-07-01. It has received 142 citations till now. The article focuses on the topics: Centrality.read more
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The network analysis of urban streets: A dual approach
TL;DR: The authors show that the absence of any clue of assortativity differentiates urban street networks from other non-geographic systems and that most of the considered networks have a broad degree distribution typical of scale-free networks and exhibit small-world properties as well.
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The Network Analysis of Urban Streets: A Primal Approach:
TL;DR: This paper introduces multiple centrality assessment (MCA), a methodology for geographic network analysis, which is defined and implemented on four 1-square-mile urban street systems and shows that, in the MCA primal approach, some centrality indices nicely capture the ‘skeleton’ of the urban structure that impacts so much on spatial cognition and collective behaviours.
Posted Content
Connecting the Congress: A Study of Cosponsorship Networks
TL;DR: Using large-scale network analysis I map the cosponsorship networks of all 280,000 pieces of legislation proposed in the U.S. House and Senate from 1973 to 2004 and introduces a new measure called "connectedness" which uses information about the frequency of csponsorship and the number of cosponsors on each bill to make inferences about the social distance between legislators.
How Correlated Are Network Centrality Measures
TL;DR: This manuscript empirically investigates the correlation among four centrality measures and concludes that degree, closeness, betweenness, and continuing flow centrality were strongly intercorrelated, while betweenness remained relatively uncorrelated with the other three measures.
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The Social Epidemiology of Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome
TL;DR: Social factors are indeed critical to understanding nonuniform infectious disease patterns that emerge as a result of the dependent nature of disease transmission or the idea that an outcome in one person is dependent upon outcomes and exposures in others.
References
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The Strength of Weak Ties
TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
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Centrality in social networks conceptual clarification
TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
Book
Measures of association for cross classifications
Leo A. Goodman,William Kruskal +1 more
TL;DR: In this article, a number of alternative measures are considered, almost all based upon a probabilistic model for activity to which the cross-classification may typically lead, and only the case in which the population is completely known is considered, so no question of sampling or measurement error appears.
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Factoring and weighting approaches to status scores and clique identification
TL;DR: In this paper, Factoring and weighting approaches to status scores and clique identification were proposed, and the results showed that the weighting approach is more accurate than the factoring approach.
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Targeted sampling: options for the study of hidden populations
TL;DR: Targeted sampling provides a cohesive set of research methods that can help researchers study health or social problems that exist among populations that are difficult to reach because of their attributed social stigma, legal status, and consequent lack of visibility.