James Moody

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home page at Duke (some dead links back to Ohio State)

Network movies - Structural cohesion

Contents

Publications

Scientific commons <-- has malware -- Google scholar

Moody, J. 2004. The structure of a social science collaboration network: Disciplinary cohesion from 1963 to 1999. American Sociological Review, 69, 213-238.

We have the database for this graph.
see: Tutzauer?2011SunbeltEmbeddednessBlind.doc (newMAC:desktop)

Structural cohesion

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Moody and White 2003

News: Nov. 2001: In our sample of ~350 early adolescent networks. I created a stability score for a peer-group assignment clustering; then within each of those clusters calculated k-cohesion; and it's a very strong predictor of stability over time. The more cohesive the structure, the more stable the group. Net of just about anything you want to throw at the model... Fun!

Structural cohesion -- Cohesive blocking Moody, James, and Douglas R. White. 2003. Structural Cohesion and Embeddedness: A Hierarchical Conception of Social Groups. American Sociological Review 68(1):1-25. 2004 Outstanding Article Award in Mathematical Sociology. American Sociological Association. http://www2.asanet.org/journals/ASRFeb03MoodyWhite.pdf

  • Review by: Noah Friedkin. 2004.SOCIAL COHESION. Annu. Rev. Sociol. 30:409-425.
p. 410: First, I describe the domain of individual membership attitudes and behaviors, on the basis of which some investigators have defined groups as more or less cohesive. Second, I describe the domain of group-level conditions, on the basis of which other investigators have defined groups as more or less cohesive. I develop the argument that these group-level conditions of cohesion are either derivative properties of the distribution of individual-level indicators of cohesion or causal antecedents of these indicators. Third, I point to recent work on mechanisms that reciprocally link the group-level conditions of cohesion and the individual-level indicators of cohesion.

to be updated: Moody's pick of publications

Other

RNM procedure - “Peer Influence Groups: Identifying Dense Clusters in Large Networks Social Networks 23:261-283 http://linkinghub.elsevier.com/IHUB_downtime02.htm

Moody, James, Daniel A. McFarland and Skye Bender-DeMoll. 2005. "Dynamic Network Visualization: Methods for Meaning with Longitudinal Network MoviesAmerican Journal of Sociology 110:1206-1241 (web version, with movies, here). AJS enhanced html and PDF (with VPN)

Moody, James, 1998 Matrix methods for calculating the triad census Social Networks 20(4):291-299. doi:10.1016/S0378-8733(98)00006-9. Copyright © 1998 Elsevier Science B.V. All rights reserved. See Triad Census

Moody, James, 2002. he Importance of Relationship Timing for Diffusion Social Forces - Volume 81, Number 1, September 2002, pp. 25-56.

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