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A Structural Analysis of “Tipping Point”: The Effect of Social Structure on Cultural Dissemination |
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Abstract:
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Recent computational studies on cultural dissemination have shown that social differentiation can occur even when individual agents behave with homophilous tendencies. All the existing studies, however, rely on endogenous mechanisms under uniform structural conditions to explain the changes in social behavior. We want to contribute to the research by studying the effects of exogenous factors on cultural dissemination—in particular, the structure of social networks and the population distribution. Drawing upon recent developments in network studies, we test the effect of four different network structures (Von Neumann neighborhood, Moore neighborhood, Small-world network, and random network) on the pattern of cultural dissemination. We also draw upon the newly emerging field of cultural ecology, and study the effect of the distribution of cultural innovators within a population. Using an agent-based model, we show that the various patterns of cultural convergence and differentiation can be explained by social structural variation with minimal behavioral assumptions. |
Most Common Document Word Stems:
cultur (179), agent (56), social (50), network (48), neighborhood (47), structur (44), model (38), behavior (29), innov (28), chang (25), interact (25), random (24), effect (22), small (22), system (22), new (22), studi (21), threshold (21), world (20), moor (20), individu (20), |
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Sociology of Culture, Cultural Ecology, Social Networks, Collective Action, Threshold, Fashion |
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Association:
Name: American Sociological Association URL: http://www.asanet.org
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Citation:
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MLA Citation:
| Lee, Min-Dong. and Lifson, David. "A Structural Analysis of “Tipping Point”: The Effect of Social Structure on Cultural Dissemination" Paper presented at the annual meeting of the American Sociological Association, Marriott Hotel, Loews Philadelphia Hotel, Philadelphia, PA, Aug 12, 2005 <Not Available>. 2009-05-25 <http://www.allacademic.com/meta/p19918_index.html> |
APA Citation:
| Lee, M. and Lifson, D. , 2005-08-12 "A Structural Analysis of “Tipping Point”: The Effect of Social Structure on Cultural Dissemination" Paper presented at the annual meeting of the American Sociological Association, Marriott Hotel, Loews Philadelphia Hotel, Philadelphia, PA Online <PDF>. 2009-05-25 from http://www.allacademic.com/meta/p19918_index.html |
Publication Type: Conference Paper/Unpublished Manuscript Abstract: Recent computational studies on cultural dissemination have shown that social differentiation can occur even when individual agents behave with homophilous tendencies. All the existing studies, however, rely on endogenous mechanisms under uniform structural conditions to explain the changes in social behavior. We want to contribute to the research by studying the effects of exogenous factors on cultural dissemination—in particular, the structure of social networks and the population distribution. Drawing upon recent developments in network studies, we test the effect of four different network structures (Von Neumann neighborhood, Moore neighborhood, Small-world network, and random network) on the pattern of cultural dissemination. We also draw upon the newly emerging field of cultural ecology, and study the effect of the distribution of cultural innovators within a population. Using an agent-based model, we show that the various patterns of cultural convergence and differentiation can be explained by social structural variation with minimal behavioral assumptions. |
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20 |
| Word count: |
5312 |
| Text sample: |
| A Structural Analysis of “Tipping Point”: The Effect of Social Structure on Cultural Dissemination Min-Dong Paul Lee 332 Uris Hall Department of Sociology Cornell University Ithaca NY 14853 mpl27@cornell.edu David Lifson Department of Computer Science Cornell University Ithaca NY 14853 dml48@cornell.edu Abstract Recent computational studies on cultural dissemination have shown that social differentiation can occur even when individual agents behave with homophilous tendencies. All the existing studies however rely on endogenous mechanisms under uniform structural conditions to explain the |
| after 8000 iterations) FIGURE 6 Moore neighborhood with 15% innovators (Random heterogeneous beginning after 2500 iterations) 17 FIGURE 7 Moore neighborhood with 25% innovators (Random homogeneous beginning) Initial Condition After 3000 iterations 18 FIGURE 8 Small-world network with 5% 10% & 15% innovators (Random heterogeneous start) A. 5% innovators (Random heterogeneous start) B. 10% innovators (Random heterogeneous start) B. 15% innovators (Homogeneous start) 19 |
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