Social Network Analysis

By Stephen Pryke. 2011

5,595 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Political Science and International Relations, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/eaf11544b288100e2d2ac7b75651a0b9a692dc01

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Citations in the corpus

Information quality work organization in wikipedia (2008, neutral): “…tasks, and strategies of these core members, we analyzed the user home pages (including the discussion pages) of three editors with the highest closeness centrality scores in each of the November 30, 2006 sample networks (featured, random, category, project, pattern; Wasserman & Faust, 1994).”
The Matthew effect in empirical data (2014, neutral): “Scientific collaboration networks are a beautiful example of social networks [36, 39, 93, 94], where two researchers are considered connected if they have published a paper together.”
Peer pressure against prejudice: A high school field experiment examining social network change (2011, neutral): “By social network, I mean the regular patterns of relationship among individuals, patterns defined by friendship, kinship, work, common interest, or other bonds (see Wasserman & Faust, 1994).”
The Economic Consequences of Social Network Structure (2017, neutral): “As already discussed, there are many ways of measuring individual centrality in a network (see Wasserman and Faust (1994) and Jackson (2008a) for overviews).”
Comparison of online social relations in volume vs interaction: a case study of cyworld (2008, neutral): “Social network analysis has been mostly an area for sociologists and anthropologists [43].”
Integrating ecological, economic and social aspects to generate useful management information under the EU Directives' ‘ecosystem approach’ (2012, neutral): “They pointed to the development of structural models to analyse human interactions (Wasserman and Faust, 1994) and specifically the conceptualisation and testing of the interactions within complex systems as social and ecological systems.”
Statistical physics of human cooperation (2017, neutral): “Despite their dissimilarity with social networks that describe how we are actually connected with one another [163,164], lattices enjoy remarkable popularity in human cooperation research [100,153], with the square lattice also being used for the seminal discovery of network reciprocity [31].”
Community detection in networks: A user guide (2016, neutral): “Details on the above definitions can be found in specialised books (Scott, 2000; Wasserman and Faust, 1994).”
Communicability in complex networks. (2007, neutral): “At a local scale, the shortest path is often used to identify network communities (11, 12) or to characterise the importance of the nodes in a network (13).”
TrustWalker: a random walk model for combining trust-based and item-based recommendation (2009, neutral): “Selection means that people tend to relate to people with similar attributes, and due to social influence related people in a social network influence each other to become more similar[16].”
Validity Issues in the Use of Social Network Analysis with Digital Trace Data (2011, neutral): “Trace data are not new in SNA, but until recently data from questionnaires and interviews have been strongly preferred, and trace data relied upon only when these have not been possible (Wasserman & Faust, 1994).”
Performance of modularity maximization in practical contexts. (2009, neutral): “Networks are a powerful tool for understanding the structure, dynamics, robustness and evolution of complex biological, technological and social systems (cid”
SCAN: a structural clustering algorithm for networks (2007, neutral): “…Acxiom Corporation University of Arkansas at Little Rock University of Arkansas at Little Rock Tom.Schweiger@acxiom.com xwxu@ualr.edu {nxyuruk, zxfeng@ualr.edu} ABSTRACT Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks.”
Managing technological change in the digital age: the role of architectural frames (2014, neutral): “Using a snowball approach (Knoke and Yang, 2008), we interviewed CarCorp employees of various rank, including engineers, departmental managers, and directors, and from a variety of functions, including advanced engineering, software and control, and infotainment.”