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Part II - Seeing Structure

Published online by Cambridge University Press:  21 September 2023

Craig M. Rawlings
Affiliation:
Duke University, North Carolina
Jeffrey A. Smith
Affiliation:
Nova Scotia Health Authority
James Moody
Affiliation:
Duke University, North Carolina
Daniel A. McFarland
Affiliation:
Stanford University, California
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Summary

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Chapter
Information
Network Analysis
Integrating Social Network Theory, Method, and Application with R
, pp. 115 - 298
Publisher: Cambridge University Press
Print publication year: 2023

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References

Suggested Further Reading

Bidart, Clair, Degenne, Alain, and Grossetti, Michel. 2020. Living in Networks: The Dynamics of Social Relations. New York: Cambridge University Press. (A recent English translation of a French classic that provides insight into the origins of personal networks.)CrossRefGoogle Scholar
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Kilduff, Martin, and Tsai, Wenpin. 2003. Social Networks and Organizations. Thousand Oaks, CA: Sage. (An excellent treatment of networks, including personal networks, within an organizational context.)CrossRefGoogle Scholar
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Suggested Further Reading

Adams, Rebecca G., and Allan, Graham (eds.). 1999. Placing Friendship in Context. New York: Cambridge University Press. (An edited collection that combines social psychological and social-structural research on friendship.)Google Scholar
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Suggested Further Reading

Anthropological Perspectives on Cohesion

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Markovsky, Barry, and Lawler, Edward J.. 1994. “A New Theory of Social Solidarity.” Pp. 113–37 in Advances in Group Processes, vol. 11, edited by Markovsky, B., O’Brien, J., and Heimer, K.. Greenwich, CT: JAI Press. (Provides a clear social psychological foundation for social cohesion, which can then inform network methods.)Google Scholar
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Suggested Further Reading

Borgatti, Stephen P. 2006. “Identifying Sets of Key Players in a Social Network.” Computational and Mathematical Organization Theory 12: 2134. (The “key player” problem has become a paradigm for intervention and comprehensive centrality, focused on identifying nodes that are critical to the functioning of a given system.)CrossRefGoogle Scholar
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Everton, Sean F. 2013. Disrupting Dark Networks. New York: Cambridge University Press. (Key work in applied network analysis that highlight difficulties and strategies for working in contexts with highly uncertain data but high stakes. See also Gerdes 2012.)Google Scholar
Faris, Robert, and Felmlee, Diane. 2011. “Status Struggles: Network Centrality and Gender Segregation in Same-and Cross-Gender Aggression.” American Sociological Review 76: 4873. (A model paper for using centrality to understand behavior; it finds that central students use aggression to gain and maintain status over time.)Google Scholar
Gerdes, Luke M. 2012. Illuminating Dark Networks: The Study of Clandestine Groups and Organizations. New York: Cambridge University Press. (See the note for Everton 2013.)Google Scholar
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Gould, Rodger V. 2003. Collision of Wills: How Ambiguity about Social Rank Breeds Conflict. Chicago: University of Chicago Press. (Lays out an argument about the origins of violence stemming from status ambiguity – hierarchies are generally stable, and if all know where they stand, disputes are rare. See also Gould 2002.)CrossRefGoogle Scholar
Maoz, Zeev. 2010. Networks of Nations: The Evolution, Structure and Impact of International Networks, 1816–2001. New York: Cambridge University Press. (While broader than hierarchy per se, the exploration of world-spanning networks invokes clear notions of core and periphery and the associated dynamics of power and prestige.)Google Scholar

Suggested Further Reading

Bearman, Peter. 1997. “Generalized Exchange.” American Journal of Sociology 102: 1383–415. (An exemplar use of blockmodeling to identify positions in a kinship exchange structure, demonstrating that systemic social action occurs even when actors are unaware of the reasons for their actions.)Google Scholar
Doreian, Patrick, Batagelj, Vladimir, and Ferligoj, Anuska. 2004. Generalized Blockmodeling. New York: Cambridge University Press. (Provides a thorough overview of blockmodeling and role analysis starting with the conventional notions of equivalence outlined in this chapter, but then extends to new equivalency frameworks based on different types of flows across positions.)Google Scholar
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Suggested Further Reading

Borgatti, Stephen P., and Everett, Martin G.. 1997. “Network Analysis of 2-Mode Data.” Social Networks, 19(3): 243–70. (Provides an overview of when and how analyses must differ when respecting two-mode networks.)CrossRefGoogle Scholar
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Suggested Further Reading

Becker, Howard S. 1982. Art Worlds. Berkeley and Los Angeles: University of California Press. (A classic work that describes artistic enterprises as involving a network of interrelated participants to bring them about.)Google Scholar
Bottero, Wendy, and Crossley, Nick. 2011. “Worlds, Fields and Networks: Becker, Bourdieu and the Structures of Social Relations.” Cultural Sociology 5(1): 99119. (Compares Becker, Bourdieu, and social network conceptualizations as applied to British punk subculture in late 1970s.)CrossRefGoogle Scholar
Carley, Kathleen. 1994. “Extracting Culture through Textual Analysis.” Poetics 22(4): 291312. (Seminal work on semantic networks in texts and the methodology needed to bring them about.)Google Scholar
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Franzosi, Roberto. 2004. From Words to Numbers: Narrative, Data, and Social Science. Vol. 22. New York: Cambridge University Press. (Provides a systematic approach to representing narratives quantitatively.)Google Scholar
Fuhse, Jan A. 2009. “The Meaning Structure of Social Networks.” Sociological Theory 27: 5173. (Describes how social opportunities of affiliations and connectivity collide with identities and expectations from roles and relations in interaction and interpretation to forge agreed-upon ties and have a feedback loop to those settings and types of tie/roles as scripts.)CrossRefGoogle Scholar
Grimmer, Justin, Roberts, Margaret E., and Stewart, Brandon M.. 2022. Text as Data: A New Framework for Machine Learning and the Social Sciences. Princeton, NJ: Princeton University Press. (A recent overview textbook on quantitative analysis of text and natural language processing from a social science perspective.)Google Scholar
Kilduff, Martin, and Krackhardt, David. 2008. Interpersonal Networks in Organizations: Cognition, Personality, Dynamics and Culture. New York: Cambridge University Press. (Provides insights into within-organization network effects on leadership, performance, and organizational culture.)Google Scholar
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McLean, Paul. 2016. Culture in Networks. New York: John Wiley & Sons. (Summary text that affords an overview of how networks and culture have been discussed in previous works. Builds from separate approaches to an increasingly melded and integrative perspective.)Google Scholar
Mohr, John W., Bail, Christopher A., Frye, Margaret et al. 2020. Measuring Culture. New York. Columbia University Press. (A useful theoretical overview of approaches to measuring meaning with formal methods.)Google Scholar
Moretti, Franco. 2007. Graphs, Maps, Trees: Abstract Models for Literary History. New York: Verso. (Offers a network perspective on literary texts and their internal plot structures.)Google Scholar

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