The DOI matches its Crossref record.
Social Network Analysis: Methods and Applications
Abstract
Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field.
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Social network data were collected using widely accepted sociometric techniques (Wasserman and Faust 1994).”
From Enterprise System Implementation and Employee Job Performance: Understanding the Role of Advice Networks1 (2014) · cites this paper as Wasserman and Faust 1994
In the citing paper
“These include degree centrality, 5 https://qgis.org/api/qgsalgorithmextractbylocation_8h_source.html closeness centrality, and betweenness centrality (Wasserman and Faust, 1994;Freeman, 1979.”
From POI VizNet: New QGIS Tool to construct Visibility Networks in Cities (2024) · cites this paper as Wasserman and Faust, 1994
In the citing paper
“Network analysis metrics come in two flavours, global and local (Wasserman and Faust 1994;Collar et al. 2015).”
From Modelling of pathways and movement networks in archaeology: an overview of current approaches (2019) · cites this paper as Wasserman and Faust 1994
In the citing paper
“Firms may gain such an understanding by using social network analysis (Wasserman and Faust 1994), value blueprints (Adner 2012), or agent-based modeling (Gilbert 2008).”
From Stakeholder marketing: theoretical foundations and required capabilities (2015) · cites this paper as Wasserman and Faust 1994
Citations
Cited by
Sorted by citations
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502
Social Capital, Intellectual Capital, and the Organizational Advantage
Nahapiet, J., & Ghoshal, S. (1998) · The Academy of Management Review · doi:10.2307/259373 · Cited by 7,111
Metadata
- Authors
- Wasserman, S., & Faust, K.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- University of South Carolina (US)
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1994-11-25
- OpenAlex
- W950821216
- Cited by
- 17,557
- References
- 0
- Citations by year
- 2026: 619 · 2025: 780 · 2024: 747 · 2023: 763 · 2022: 783 · 2021: 931 · 2020: 907 · 2019: 898 · 2018: 955 · 2017: 891 · 2016: 877 · 2015: 872 · 2014: 974 · 2013: 947 · 2012: 856
- FWCI
- 10.62
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Sociology and Political Science › Social Capital and Networks
- Social Sciences › Sociology and Political Science › Social Power and Status Dynamics
- Keywords
- social network analysis, network methods, network data analysis, social networks, behavioral research, marketing, industrial engineering
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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