Understanding the Influential People and Social Structures Shaping Compliance

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Journal of Social Structure

International Network for Social Network Analysis

Subject: Social Sciences

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VOLUME 16 , ISSUE 1 (December 2015) > List of articles

Understanding the Influential People and Social Structures Shaping Compliance

Rachel A. Smith * / Edward L. Fink

Keywords : Compliance, social networks, network preferences, opinion leadership, diffusion

Citation Information : Journal of Social Structure. Volume 16, Issue 1, Pages 1-15, DOI: https://doi.org/10.21307/joss-2019-014

License : (CC BY-NC 4.0)

Published Online: 13-August-2019

ARTICLE

ABSTRACT

This study integrated efforts to identify influential people and to extend theories of structural predictors of compliance. Adults (N = 195) were shown a sociogram of 11 people who were connected by friendships. Participants were asked to imagine themselves in this group, identify a position for themselves, select another member for an interaction, and predict their likelihood of complying with the member’s request. Connectors (those wanting to link others) identified with more central positions for themselves and selected more central interaction partners. Agents with greater persuasive impact were more successful in gaining compliance from participants; for connectors, targets’ supportive impact also reduced their likelihood of compliance. Findings have implications for diffusion efforts that depend on interpersonal compliance, and for theories of social influence.

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REFERENCES

Anik, L., & Norton, M. I. (2012). “iPhones for friends, refrigerators for family: How products prime social networks.” Social Influence 7, 154-171. doi: 10.1080/15534510.2012.662473

Bonacich, P. (1972). “Factoring and weighting approaches to status scores and clique identification.” Journal of Mathematical Sociology 2, 113–120. doi:10.1080/0022250X.1972.9989806

Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). UCINET for Windows: Software for social network analysis (Version 6.516) [Computer software]. Harvard, MA: Analytic Technologies.

Boster, F. J., Carpenter, C. J., & Kotowski, M. R. (online first, 2014). “Validation studies of the maven scale.” Social Influence. doi:10.1080/15534510.2014.939224

Boster, F. J., Kotowski, M. R., Andrew, K. R., & Serota, K. (2011). “Identifying influence: Development and validation of the connectivity, persuasiveness, and maven scales.” Journal of Communication 61, 178– 196. doi:10.1111/j.1460-2466.2010.01531.x

Burt, R. S. (1992). Structural holes: The social structure of competition. Cambridge, MA: Harvard University Press.

Cai, D. A., Fink, E. L., & Xie, X. (2012). “ ‘Brother, can you spare some time, or a dime?’ Time and money obligations in the U.S. and China.” Journal of Cross-Cultural Psychology 43, 592-613. doi:10.1177/0022022111401394

Coleman, J., Katz, E., & Menzel, H. (1957). “The diffusion of an innovation among physicians.” Sociometry 20, 253-270. doi:10.1016/b978-0-12-442450-0.50014-6

Dugatkin, L. A., & Hasenjager, M. (2015, June). “The networked animal.” Scientific American 312 (6),  51-55. 

Fink, E. L., Cai, D. A., Kaplowitz, S. A., Chung, S., Van Dyke, M. A., & Kim, J.-N. (2003). “The semantics of social influence: Threats vs. persuasion.” Communication Monographs 70, 295-316. doi:10.1080/0363775032000179115

Fink, E. L., High, A., & Smith, R. A. (online first, 2014). “Compliance dynamics within a friendship network II: Structural positions used to garner social support.” Human Communication Research. doi:10.1111/hcre.12038

Foa, U. G., & Foa, E. B. (1972). “Resource exchange: Toward a structural theory of interpersonal communication.” In A. W. Siegman & B. Pope (Eds.), Studies in dyadic communication (pp. 291-325). Long Island City, NY: Pergamon Press.

Freeman, L. C. (1979). “Centrality in networks: Conceptual clarification.” Social Networks 1, 215–239. doi:10.1016/0378-8733(78)90021-7

French, J. R. P., & Raven, B. (1959). “The bases of social power.” In D. Cartwright (Ed.), Studies in social power (pp. 150–167). Ann Arbor: University of Michigan Institute for Social Research.

Gladwell, M. (2000). The tipping point: How little things can make a big difference. Boston, MA: Little, Brown and Company.

Granovetter, M. (1973). “The strength of weak ties.” American Journal of Sociology 78, 1360-1380. doi:10.1086/225469

Heider, F. (1958). The psychology of interpersonal relations. New York, NY: John Wiley & Sons. doi:10.1037/10628-000

Katz, E., & Lazarsfel, P. F. (1955). Personal influence. New York, NY: Free Press. 

Kelley, H. H. (1992). “Common-sense psychology and scientific psychology.” Annual Review of Psychology 43, 1-23. 

Kelly, J. A. (2004). “Popular opinion leaders and HIV prevention peer education: Resolving discrepant findings, and implications for the development of effective community programmes.” AIDS Care 16, 139150. doi:10.1080/09540120410001640986

Kozinets, R. V., de Valck, K., Wojnicki, A. C., & Wilner, S. J. S. (2010). “Networked narratives: Understanding word-of-mouth marketing in online communities.” Journal of Marketing 74, 71-89. doi:10.1509/jmkg.74.2.71

Lave, C. A., & March, J. G. (1993). An introduction to models in the social sciences. Lanham, MD: University Press of America.

Lewinsohn, P. M., Mischel, W., Chaplin, W., & Barton, R. (1980). “Social competence and depression: The role of illusory self-perceptions.” Journal of Abnormal Psychology 89, 203–212. doi:10.1037/0021843X.89.2.203

Lin, N. (2001). Social capital: A theory of social structure and action. Cambridge, UK: Cambridge University Press. doi:10.1017/CBO9780511815447

Nowak, A., Szamrej, J., & Latané, B. (1990). “From private attitude to public opinion: A dynamic theory of social impact.” Psychological Review 97, 362–376. doi:10.1037//0033-295X.97.3.362

Raven, B. H. (1965). “Social influence and power.” In I. D. Steiner & M. Fishbein (Eds.), Current studies  in social psychology (pp. 371-382). New York, NY: Holt, Rinehart and Winston.

Rice, R. E. (2009). “Diffusion of innovations: Theoretical extensions.” In R. Nabi & M. B. Oliver (Eds.), Handbook of media effects (pp. 489-503). Thousand Oaks, CA: Sage. 

Richmond, V. P. (1977). “The relationship between opinion leadership and information acquisition.” Human Communication Research 4, 38-43. doi:10.1111/j.1468-2958.1977.tb00594.x

Rogers, E. (2003). Diffusion of innovations (5th ed.). New York, NY: Simon & Schuster.

Smith, R. A., & Fink, E. L. (2010). “Compliance dynamics within a simulated friendship network I:  The effects of agency, tactic, and node centrality.” Human Communication Research 36, 232–260. doi:10.1111/j.1468-2958.2010.01375.x

Southwell, B. G. (2013). Social networks and popular understanding of science and health: Sharing disparities. Baltimore, MD: Johns Hopkins University Press.

Tarde, G. (1903). The laws of imitation. New York, NY: Henry Holt & Company.

Valente, T. W. (2005). “Network models and methods for studying the diffusion of innovations.” In P. J.

Carringon, J. Scott, & S. Wasserman (Eds.), Models and methods in social network analysis (pp. 98-116). Cambridge, UK: Cambridge University Press. 

Valente, T. W. (2010). Social networks and health: Models, methods, and applications. Oxford, UK: Oxford University Press.

Willer, D., & Emanuelson, P. (2008). “Testing ten theories.” Journal of Mathematical Sociology 32,  165–203. doi:10.1080/00222500802148743

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