Davis MRPI proposal meeting

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UC Davis Network Sciences May 18 meeting and Political Networks meeting May 19-20 conference

UC Davis May 19-20 2009 Meeting

Agenda May 19-20

UC Davis Political Networks meeting

John Scholz slides

John Scholz, Florida State U. Networks and Cooperation powerpoint slides

Ramiro Berardo

Berardo cohesive blocking

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References

"Paul Thurner" Mannheim

http://www.mzes.uni-mannheim.de/publications/misc/thurner/
http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1450397
See data and articles by Paul Thurner, U Mannheim

(re: Thurner's model) and re:network autocorrelation in Globalization) Detlef, Jahn. 2006. Globalization as ‘Galton's Problem’: The Missing Link in the Analysis of Diffusion Patterns in Welfare State Development International Organization 60(2):401-431. pdf Anyone know of other references? SEE: Jahn Detlef for a summary.

(re: Thurner's model): - catalytic networks

(re: cohesive subgroups) click: Cohesive blocking

(re: outsourcing networks) Information exchange and robustness in organizational networks Peter S. Dodds, Duncan J. Watts, and Charles Sabel, Proceedings of the National Academy of Sciences, 2003, 21

The Integrative Power of Civic Networks, Delia Baldassarri, M. Diani, American Journal of Sociology, 2007, 113(3):735-80

(re: outsourcing networks as production hierarchies) Tsutomu Nakano and Douglas R. White. 2007 Network Structures in Industrial Pricing: The Effect of Emergent Roles in Tokyo Supplier-Chain Hierarchies. Structure and Dynamics 2(3):130-154. http://repositories.cdlib.org/imbs/socdyn/sdeas/vol2/iss3/

Stephen Feinberg Statistics for Network Dynamics

UC Davis May 18 2009 Meeting

May 18 Agenda - Davis MRPI participants
"Interacting and Evolving Networks: A Multidisciplinary Synthesis" Organized by Zeev Maoz. Multidisciplinary proposal to establish a Multicampus Research and Programs Initiative. We will have powerpoint, and a web link. I can have the wiki site connection tested.

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References

Why do individuals engage in personally costly, partisan activities that benefit others? If individuals act according to rational self-interest, then partisan activity occurs only when the benefits of that activity exceed its costs. However, laboratory experiments suggest that many people are willing to contribute to public goods and to punish those who do not contribute - even when these activities are personally costly and when members of the experimental group are completely anonymous. We hypothesize that these individuals, called strong reciprocators, underlie the capacity of political parties to organize competition for scarce resources and the production of public goods. To test this hypothesis, we conducted an experiment that includes a random income game with costly income alteration and a standard public goods game with costly punishment. These games allow us to gauge participants' willingness to contribute to public goods and to engage in the costly punishment of free-riders. The results show that partisans are more likely than nonpartisans to contribute to public goods and to engage in costly punishment. Thus, inherent tastes for cooperation and sanctioning help resolve the paradox of party participation.

Doug White talk and discussion

This 15 minute talk and the discussion introduces and answers questions on some core network concepts: those on role (equivalence of positions), group (connective cohesion), hierarchy (directed asymmetric networks) and innovation. Their place in network dynamics and longitudinal network analysis is discussed.

SOME READINGS: If anyone has time to read articles beforehand it will add to the discussion; if not, the talk will motivate the readings and discuss ways to use these concepts in data analysis and project planning.

Network embedding in economic and sociological networks and in grounded ethnography and complexity sciences

Modeling roles, e.g., in the world economy

Highlight picture.jpg

Multiconnective cohesion (cohesive groups and effects of cohesion)

Moody and White 2003 develop approach to multiconnective or Structural cohesion. 2003 Structural Cohesion and Embeddedness: A Hierarchical Conception of Social Groups. (J. Moody, drw) American Sociological Review 68(1):1-25. 2004 Outstanding Article Award in Mathematical Sociology. American Sociological Association. http://www2.asanet.org/journals/ASRFeb03MoodyWhite.pdf Empirical studies: (1) The linkages between cohesive groups of companies and similarity in their political party contributions (2) Levels of cohesion in the cohesive friendship groups of high school students as a predictor of "attachment to school" quesionnaire responses in the Ad Health data (replication in 10 schools, complete samples of each).

With R installed on your computer: Run the wikicohesive.blocks program by cut and paste into R or simply right click (and click the images in the wiki).

Multiconnectivity and network dynamics (biotech study)

Powell et al 2005 applies the latter approach to network dynamics. These two are in the MPRI bibliography. 2005 Network Dynamics and Field Evolution: The Growth of Interorganizational Collaboration in the Life Sciences. (W. W. Powell, drw, K. W. Koput & J. Owen-Smith) American Journal of Sociology 110(4):901-975. AJS enhanced text and PDF. Viviana Zelizer Best Paper in Economic Sociology Award (2005-2006), American Sociological Association. http://www.journals.uchicago.edu/doi/abs/10.1086/421508 See also Powell et al. http://www.chicagogsb.edu/socialorg/docs/Powell-publicscience.pdf

Networks and Complexity

White and Johansen's book Network Analysis and Ethnographic Problems: Process Models … has an introductory Chapter 1 “Networks, Ethnography, and Emergence,” @ http://eclectic.ss.uci.edu/~drwhite/turks/1b.pdf which is an introduction to complexity science through the network embedding perspective. The micro/macro perspective on embedding and feedback is also found in the following:

Economic Networks: Agents and network structures

A 2009 pdf draft of an invited “Perspectives” article for Science, on Economic Networks: The New challenge is provided for distribution within the group and this group only. Please be careful not to distribute beyond members of the group. The focus is on the mutually interactive dynamic between the micro level of actor decisions and behavior and the macro level of energent structure.

Economic Networks: Production chain hierarchies and structural bias in pricing

Tsutomu Nakano and Douglas R. White. 2007 Network Structures in Industrial Pricing: The Effect of Emergent Roles in Tokyo Supplier-Chain Hierarchies. Structure and Dynamics 2(3):130-154. http://repositories.cdlib.org/imbs/socdyn/sdeas/vol2/iss3/

SNA

Stephen P. Borgatti et al. 2009. Network Analysis in the Social Sciences Science 323 no. 5916:892-895 presents the standard concepts developed in SNA. Read for background.

The Network embedding perspective

Brief overview of the perspective

There are many contexts in which structurally cohesive subunits of a network of positive ties exhibit evidence of the causal consequences that might be expected of cohesive social groups, regardless of whether they are also named groups.

Strength of Weak Ties

The network embedding perspective grows out of Granovetter’s classical article, Granovetter, M. 1973. The Strength of Weak Ties, American Journal of Sociology 78(6): 1360-1380.

Navigability of Strong Ties

The counterpoint to that article, developed from the White and Johansen book (2.1.2), is summarized in article form in White and Houseman, “The Navigability of Strong Ties: Small Worlds, Tie Strength and Network Topology”, in Complexity 8(1):72-81 @ http://eclectic.ss.uci.edu/~drwhite/Complexity/K&C-a.pdf.

Social circles complex network model

For a simulation of a "Social circles" or "feedback cycles" model see the Social-circles network model "Generative Model for Feedback Networks" in Physical Review E, 016119 (2006, Douglas R. White, Nataša Kejžar, Constantino Tsallis, J. Doyne Farmer, Scott D. White. paper in pdf as SFI working paper.

Innovation and network embedding

City dynamics 900-2000 AD

White, D.R., L. Tambayong, and N. Kejžar. 2008. Oscillatory dynamics of city-size distributions in world historical systems. - Globalization as Evolutionary Process: Modeling, Simulating, and Forecasting Global Change. pp. 190-225. Eds. George Modelski, Tessaleno Devezas, and William R. Thompson. London: Routledge.

Network embedding and innovation

2009 Innovation in the Context of Networks, Hierarchies, and Cohesion. Pp. 153-193 in, Complexity Perspectives in Innovation and Social Change. D.Lane, D.Pumain, S. van der Leeuw and G.West (eds). Berlin: Springer (Methodos series). http://eclectic.ss.uci.edu/~drwhite/pub/ch5revMay-20.pdf

Human behavioral dynamics

Evolution and social organization

Future directions

e.g.,