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Social Network Analysis

John Scott
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TLDR
In this article, the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work, is described and discussed. But it is argued that the analysis of social networks is not a purely static process.
Abstract
This paper reports on the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work. It is argued...

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Nonequilibrium phase transitions in directed small-world networks

TL;DR: It is shown that directed networks may lead to a highly nontrivial phase diagram including first- and second-order phase transitions out of equilibrium.
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Communicability betweenness in complex networks

TL;DR: This work proposes a new communicability betweenness measure that allows information to pass through all possible routes, but introduces a scaling so that longer walks carry less importance, and shows that it recovers meaningful biological information from a protein–protein interaction network.
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Networks, resources and risk among women who use drugs.

TL;DR: The influence of higher-order causal level factors, specifically network and structural factors, are the least well documented, but are posited to be a principal underlying cause of the current differential HIV incidence rates between men and women who use drugs.
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Usage bibliometrics

TL;DR: A review of the state-of-the-art in usage-based informetric, i.e., the use of usage data to study the scholarly process, can be found in this article.
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Hierarchical representation of motives in goal setting.

TL;DR: A heuristic nomothetic summary of goals, arranged in an interconnected hierarchy, was derived and was validated by regressing attitudes, intentions to reenlist, and commitment toward the army on motives and linkages between motives.
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.
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Power and Centrality: A Family of Measures

TL;DR: In this article, the rank orderings by the four networks whose analysis forms the heart of this paper were analyzed and compared to the rank ordering by the three centrality measures, i.e., betweenness, nearness, and degree.
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Network data and measurement

TL;DR: Continued research on data quality is needed; beyond improved samples and further investigation of the informant accuracy/reliability issue, this should cover common indices of network structure, address the consequences of sampling portions of a network, and examine the robustness of indicators ofnetwork structure and position to both random and nonrandom errors of measurement.
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Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions

TL;DR: In this paper, Boorman and White proposed a dual model that partitions a population while simultaneously identifying patterns of relations and role and position concepts in the concrete social structure of small populations.