Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions

White, Harrison C.; Boorman, Scott A.; Breiger, Ronald L.

doi:10.1086/226141

Cited by 1,737 publications

(761 citation statements)

References 54 publications

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“…Stochastic block model [84,85,86,87] is one of the most general network models, where nodes are partitioned into groups and the probability that two nodes are connected depends solely on the groups to which they belong. The stochastic block model can capture the community structure [22], role-to-role connections [88] and maybe other factors for the establishing of connections, especially when the group membership plays the considerable roles in determining how nodes interact with each other, which usually could not be well described by the simple assortativity coefficient [89,90] or the degree-degree correlations Given a partition M where each node belongs to one group and the connecting probability for two nodes respectively in groups α and β is denoted by Q αβ (Q αα represents the probability that two nodes within group α are connected), then the likelihood of the observed network structure is [18]:…”

Section: Stochastic Block Modelmentioning

confidence: 99%

Link prediction in complex networks: A survey

Lü

Zhou

2011

Physica A: Statistical Mechanics and its Applications

2,331

1,621

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Link prediction in complex networks has attracted increasing attention from both physical and computer science communities. The algorithms can be used to extract missing information, identify spurious interactions, evaluate network evolving mechanisms, and so on. This article summaries recent progress about link prediction algorithms, emphasizing on the contributions from physical perspectives and approaches, such as the random-walk-based methods and the maximum likelihood methods. We also introduce three typical applications: reconstruction of networks, evaluation of network evolving mechanism and classification of partially labelled networks. Finally, we introduce some applications and outline future challenges of link prediction algorithms.

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Section: Stochastic Block Modelmentioning

confidence: 99%

Link prediction in complex networks: A survey

Lü

Zhou

2011

Physica A: Statistical Mechanics and its Applications

2,331

1,621

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“…Network analysis found its way into public administration primarily through two channels: organizational studies as exemplified by the works of White et al (1976), Granovetter (1983) and Burt (1992), and political science research focused on…”

Section: The Evolution Of the Network Concept In Public Administrationmentioning

confidence: 99%

Networks in Public Administration: Current scholarship in review

Lecy¹,

Mergel²,

Schmitz³

2013

Public Management Review

159

143

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Network-focused research in public administration has expanded rapidly over the past two decades. This rapid growth has created come confusion about terminology and approaches to research in the field. We organize the network literature in public administration using compact citation networks to identify coherent subdomains focused on (1) policy formation, (2) governance and (3) policy implementation. We trace how these domains differ in their approach to defining the role of networks, relationships and actors and to what extent the articles apply formal network analysis techniques. Based on a subsequent content analysis of the sample articles, we identify promising research awnues focused on the wider adoption of methods derived from social network analysis and the conditions under which networks actually deliver improved results.

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“…Addressing this shortcoming, Nadel [30] proposed explicitly including structural positions, providing the foundations for a 'calculus' of roles. This work was extended into block modeling [52], structural equivalence [24], and role coloration [12]. Others have worked on homomorphism [5] and local roles [25] (for a full review of structural role analysis, see [22]).…”

Section: Methods For Social Role Analysismentioning

confidence: 99%

“…This collaboration requires researchers to use the comparative advantages of many disciplines in order to perceive, conceptualize, measure and understand what has unfolded in the electronic interaction order [51]. A key intersection of these scholarly disciplines is the concept of the social role [40] [8] [52] [50].…”

Section: Introductionmentioning

confidence: 99%