Abstract
Relationships, interactions, and communities are foundational to sociological thinking. As natural and intuitive as it is for us to think and talk about interactions in our human experiences, it is difficult to concretely capture and measure these relational characteristics of people. In the past, social scientists have been limited to qualitatively describing and quantifiably developing ancillary measures of these relational experiences. In recent years, network research has rapidly developed computer programs and software that now allow us to go beyond these limits. Personal interactions can now be input to produce concrete output that maps and quantifies the structure of relationships, interactions, and communities among people.
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References
Bollen, K. A. (1989). Structural Equations with Latent Variables. New York: Wiley-Interscience.
Borgatti, S. P., M. Everett and L. C. Freeman (1999) UCINET 5 for Windows: Software for Social Network Analysis (Harvard: Analytic Technologies).
Bryant, F. B. and P. R. Yarnold (1995) “Principal Components Analysis and Exploratory and Confirmatory Factor Analysis”, in Reading and Understanding Multivariate Analysis, ed. L. G. Grimm and P. R. Yarnold (Washington, DC: American Psychological Association).
Burt, R. S. (1987) “Social Contagion and Innovation—Cohesion Versus Structural Equivalence”, American Journal of Sociology 92: 1287–1335.
Deal, T. E., T. Purniton and D. Cook Waetjen (2009) Making Sense of Social Networks in Schools, ed. A. A. o. S. Administrators (Thousand Oaks: Corwin Press).
Faris, R. and D. Felmlee (2011) “Status Struggles: Network Centrality and Gender Segregation in Same- and Cross-Gender Aggression”, American Sociological Review 76(1): 48–73.
Moody, J. (2002) “The Importance of Relationship Timing for Diffusion”, Social Forces 81: 25–56.
Price, H. E. (2011) “School Networks as Social Resources: The Relationships of School Resources and School Community to School Effectiveness”, Ph.D. dissertation, Department of Sociology, University of Notre Dame.
Tourangeau, R., L. J. Rips and K. Rasinski (2000) The Psychology of Survey Response (New York: Cambridge University Press).
Valente, T. W. (2005) “Network Models and Methods for Studying the Diffusion of Innovations”, in Models and Methods in Social Network Analysis, ed. P. J. Carrington, S. Wasserman and J. Scott (Cambridge: Cambridge University Press).
Wasserman, S. and K. Faust (1994) Social Network Analysis: Methods and Applications (Cambridge, New York: Cambridge University Press).
Wejnert, B. (2002) “Integrating Models of Diffusion of Innovations: A Conceptual Framework”, Annual Review of Sociology 28: 297–326.
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© 2013 François Dépelteau and Christopher Powell
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Price, H.E. (2013). Connecting Network Methods to Social Science Research: How to Parsimoniously Use Dyadic Measures as Independent Variables. In: Dépelteau, F., Powell, C. (eds) Applying Relational Sociology. Palgrave Macmillan, New York. https://doi.org/10.1057/9781137407009_9
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DOI: https://doi.org/10.1057/9781137407009_9
Publisher Name: Palgrave Macmillan, New York
Print ISBN: 978-1-349-47904-7
Online ISBN: 978-1-137-40700-9
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