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19 August 2008
As many readers of this blog know, the political science meetings come to Boston the week after next. As I have mentioned before, there is an emerging interest in networks in political science. My co-conspirator in leading the "Political Networks" initiative, James Fowler, compiled a list of panels at APSA with network-related themes. I thought this might be of interest to readers of the blog. If you have additional panels/papers to suggest, please add as comments.
APSA network panels
*** Thursday, Aug 28, 8:00 AM
21-9 Neighbors, Networks, and Issues in Conflict Onset and Expansion: Uncovering the Complexity of World Politics
The ConflictSpace Project: Testing Complex Models of the Diffusion of War
Paul F. Diehl
University of Illinois, Urbana-Champaign, pdiehl@uiuc.edu
John A. Vasquez
University of Illinois, Urbana-Champaign, vasqueja@uiuc.edu
Colin Flint
University of Illinois, Urbana-Champaign, flint@uiuc.edu
Jürgen Scheffran
University of Illinois, Urbana-Champaign, scheffra@uiuc.edu
*** Thursday, Aug 28, 10:15 AM
17-4 / 18-1 Civilizational Polities in Domestic and International Politics (1)
Islam Between Civilization and Civil Societies: The Pervasive If Ambiguous Role of Networks and Minorities in Rethinking the Ummah Today
Bruce Bennett Lawrence
Duke University, bruce.bbl@gmail.com
22-16 Congress: Getting There Is Half the Battle
Passing the Bucks: The Member-to-Member Contribution Network in Congress
Brendan Nyhan
Duke University, bjn3@duke.edu
Michael Tofias
University of Wisconsin, Milwaukee, tofias@uwm.edu
*** Thursday, Aug 28, 2:00 PM
7-12 / 15-9 City Hall, Local Investment Credits and Clientelism: Comparative Historical Analysis of Local Party Dominance in Post-War France, Italy and Japan
Explaining Varied Historical Paths to Local Party Dominance in France: Allocation Patterns of Local Investment Credits and Their Impacts on Party Networks
Yohei Nakayama
University of Tokyo, y-naka@j.u-tokyo.ac.jp
Farewell to the Odd Twins? The Historical Transformation of Clientelistic Political Networks in Postwar Italy and Japan
Takeshi Ito
Senshu University, tito@isc.senshu-u.ac.jp
Masako Suginohara
Sophia University, ms828@goo.jp
36-31 / 38-3 Heterogeneity in Social Networks: Genes, the Internet, Information, and Participation
Online Groups and Networks: Does the Internet Facilitate Exposure to Political Disagreement?
Diana C. Mutz
University of Pennsylvania, mutz@sas.upenn.edu
Magdalena Elzbieta Wojcieszak
University of Pennsylvania, magdalena@asc.upenn.edu
Availability and the Centrality of Experts in the communication of political information
Robert Huckfeldt
University of California, Davis, rhuckfeldt@ucdavis.edu
T.K. Ahn
Florida State University, tahn@fsu.edu
John Barry Ryan
University of California, Davis, jbrryan@ucdavis.edu
Social Expertise and Individual Action
Scott D. McClurg
Southern Illinois University, mcclurg@siu.edu
Do Social Networks Mediate the Influence of Genes on Political Behavior?
James H. Fowler
University of California, San Diego, jhfowler@ucsd.edu
38-17 / 40-1 Social Networking and the Future of Politics and Administration
The Effects of Social Networking Websites and Youth Voter Participation
Kimberly D. Martin
University of Florida, kmartin@polisci.ufl.edu
Hans Schmeisser
University of Florida, hans42@ufl.edu
Facebook Reception: Measuring the Effectiveness of User Generated Political Ads
Leticia Bode
University of Wisconsin, Madison, lbode@wisc.edu
What Is a Social Network Worth? Facebook and Vote Share in the 2008 Presidential Primaries
Christine B. Williams
Bentley College, cwilliams@bentley.edu
Text Me When You Get There: Examining the Rising Use of Modern Communication Technology as a Resource for Latino Political Mobilization
Corinna A. Reyes
University of California, Santa Barbara
Cyber-Dissidents and Blogging as Resistance: The Internet and Opposition to Authoritarian and Oppressive Regimes
James Stanyer
Loughborough University, j.stanyer@lboro.ac.uk
PS 2 Divisions 22, 23, 24, 25, 26, 27, 28, 29, 30 and 31
The Influence of Social Networks in the Representation of Noncitizen Immigrants
Grace Cho
University of Michigan, chog@umich.edu
Using Airports to Develop a Framework for Accountability in Governance Networks
Russell W. Mills
Kent State University, rmills2@kent.edu
Social Reinforcement, Increasing Return, and the Evolution of Policy Networks
Cheng-Lung Wang
National University of Singapore, polwcl@nus.edu.sg
Hustle and Flow: A Social Network Analysis of the American Federal Judiciary
Daniel Martin Katz
University of Michigan, dmartink@umich.edu
Derek Stafford
University of Michigan, dstaff@umich.edu
*** Thursday, Aug 28, 4:15 PM
29-12 / 22-24 Issues in State Legislatures
Political Networks and the Impact of Term Limits
Delia Bailey
Washington University, St. Louis
Betsy Sinclair
University of Chicago, betsy@uchicago.edu
38-6 Discussion, Polarization and Civicness: The Role of Political Talk in Campaigns
Developing Discourse? Citizen Involvement, Elite Polarization and the European Public Sphere
Chiara Jasson
London School of Economics, chiaraj@lse.ac.uk
Competition and Opposition in Social Networks: Does Disagreement Discourage Voter Turnout?
Lilach Nir
Hebrew University, lnir@mscc.huji.ac.il
Gender and Political Discussion Networks
Erin Cassese
West Virginia University, erin.cassese@mail.wvu.edu
*** Friday, Aug 29, 8:00 AM
6-3 Property Rights
Networks and Property Rights: Exploring the Determinants of Profit Reinvestment
Iva Bozovic
University of Southern California, bozovic@usc.edu
22-28 / 35-16 Influencing Government
Polarizers or Consensus Builders? Interest Group Coalitions in Electoral and Legislative Networks
Matt Grossmann
Michigan State University, matthewg9@gmail.com
Casey Byrne Dominguez
University of San Diego, caseydominguez@sandiego.edu
38-18 / 40-2 The Electoral Impact of Web 2.0
Web 2.0 and the Mainstream Media: How Facebook, MySpace and YouTube Popularity Drive Media Coverage
Kevin Jay Wallsten
University of California, Berkeley, wallsten@uclink.berkeley.edu
MyFaceTube Politics: Assessing the Impact of Social Networking Websites on the Political Attitudes and Knowledge of Young Adults During the Early 2008 Presidential Primary Season
Jody C Baumgartner
East Carolina University, jodyb@jodyb.net
Jonathan S. Morris
East Carolina University, morrisj@ecu.edu
39-6 The Role of Networks in Science, Technology, and Environmental Politics
The Determinants of Research Collaboration: The Impacts of Work Environment
Wan-Ling Huang
University of Illinois at Chicago, whuang24@uic.edu
Eric Welch
University of Illinois, Chicago, ewwelch@uic.edu
Ideology Versus Power as Drivers of Network Cohesion: The Case of Regional Planning
Adam Henry
Harvard University, adam_henry@ksg.harvard.edu
Mark N. Lubell
University of California, Davis, mnlubell@ucdavis.edu
Mike C. McCoy
University of California, Davis, mcmccoy@ucdavis.edu
Exploring the Role of Partnerships for Sustainable ICT Projects to Bridge the Digital Divide
Laura Hosman
University of California, Berkeley, hosman@berkeley.edu
Business Networks in Environmental Politics: The Case of China
Sangbum Shin
Yonsei University, sshin@yonsei.ac.kr
Scientific and Expert Communities in Chinese Foreign Relations
Alanna Krolikowski
University of Toronto, alanna.krolikowski@utoronto.ca
*** Friday, Aug 29, 10:15 AM
4-2 Social Context and Identity
Modeling and Measuring Network-Based Social Capital
Meredith Rolfe
University of Oxford, meredith.rolfe@nuffield.ox.ac.uk
18-5 / 21-3 Alliances
Chain Gangs and Passed Bucks: Network Structure and Alliance Pathologies
Peter M. Li
National University of Singapore, pollpm@nus.edu.sg
35-18 Parties as Social Networks
527 Committees and the Political Party Network
David A. Dulio
Oakland University, ddulio@oakland.edu
Richard M. Skinner
Allegheny College, rskinner@allegheny.edu
Seth E. Masket
University of Denver, smasket@du.edu
Party Polarization in Congress: A Social Networking Approach
Andrew Waugh
University of California, San Diego, aswaugh@ucsd.edu
Multiple Affiliation and Ideological Consistency in Post-Reform Italy
Jessica Robinson Preece
University of California, Los Angeles, jrp68@ucla.edu
*** Friday, Aug 29, 2:00 PM
12-11 Distributive Politics of Developing Countries
How Many Clients Does it Take to Win an Election? Estimating the Size and Structure of Political Networks in Argentina and Chile
Maria Victoria Murillo
Columbia University, mm2140@columbia.edu
Ernesto F. Calvo
University of Houston, ecalvo@uh.edu
16-4 / 17-1 Network Analysis for International Relations (1): Theory
Markets, Hierarchies, and Networks: An Agent-Based Organizational Ecology
Danielle Jung
University of California, San Diego
David A. Lake
University of California, San Diego, dlake@ucsd.edu
Social Network Analysis
Michael D. Ward
University of Washington, mdw@u.washington.edu
Katherine Stovel
University of Washington, stovel@u.washington.edu
Network Analysis for International Relations
Emilie Marie Hafner-Burton
Princeton University, ehafner@princeton.edu
Alexander Montgomery
Reed College, ahm@reed.edu
Network Theory and the Relational Turn
Daniel H. Nexon
Georgetown University, dhn2@georgetown.edu
22-11 Legislative Deliberation, Debate, and Deception
Deliberation and Participation: A Deliberative Field Experiment
Kevin M. Esterling
University of California, Riverside, kevin.esterling@ucr.edu
David Lazer
Harvard University, David_Lazer@harvard.edu
Michael Neblo
Ohio State University, neblo.1@osu.edu
28-8 Federalism and Contemporary Challenges: Responses and Perceptions
Emergency Management: Gauging the Quality of Public and Private Sector Networks
Kiki Caruson
University of South Florida, kcaruson@cas.usf.edu
Susan A. MacManus
University of South Florida, samacmanus@aol.com
PS 4 Divisions 16, 17, 18, 19, 20, and 21
Seeking New Opportunities: Global Networks and Environmental Governance in Japan and Korea
Yooil Bae
Singapore Management University, yooilbae@smu.edu.sg
*** Friday, Aug 29, 4:15 PM
8-11 / 16-5 Network Analysis for International Relations (2): Empirics
Convergence, Divergence, and Networks in the Age of Globalization: A Social Network Analysis Approach
Xun Cao
Princeton University, caox@essex.ac.uk
International Migration Flows and its Political Sources: A Network Analysis
Christian Breunig
Max Planck Institute for the Study of Societies
Xun Cao
Princeton University, caox@essex.ac.uk
Adam Luedtke
University of Utah, adamluedtke@yahoo.com
Trade Networks and the Politics of Cooperation and Conflict
Han Dorussen
University of Essex, hdorus@essex.ac.uk
Hugh Ward
University of Essex, hugh@essex.ac.uk
Intergovernmental Organizations and Global Isomorphism: The Case of Democracy
Magnus Torfason
Colombia Business School, mtt2108@columbia.edu
Paul Ingram
Columbia University, pi17@columbia.edu
When Country Interdependence is More Than Just a Nuisance: The Longitudinal Network Analysis Approach
Mark A. Pickup
University of Oxford, mark.pickup@gmail.com
Mark S. Manger
McGill University, mark.manger@mcgill.ca
Tom Snijders
University of Oxford, Tom.Snijders@nuffield.ox.ac.uk
*** Saturday, Aug 30, 8:00 AM
12-15 Governance in Transition Countries: What Role for Private Actors?
Governing Security in Weak Postcolonial States: Private Self-Help, Partnership Policing and Shadow Networks of Public-Private Rule
Jana Hoenke
Freie Universität Berlin, hoenke@zedat.fu-berlin.de
24-7 Networking, Collaborating, and Getting Things Done
Measuring and Identifying Leadership in Public Sector Networks
Michael McGuire
Indiana University, mcguirem@indiana.edu
Chris Silvia
Indiana University, cesilvia@indiana.edu
Doing Their Best: Municipalities' Struggle to Provide Social Services in Collaboration with the Non-Profit and Business Sectors
Rona Stein
Tel-Aviv University, rona.stein@gmail.com
Gila Menahem
Tel Aviv University, gilam@post.tau.ac.il
Networking Organizations in a Fragmented Policy System: How Do Collaborative Proposals Succeed in Obtaining Governmental Support?
Alfredo Ramiro Berardo
University of Arizona, berardo@email.arizona.edu
Beware of Managers Not Bearing Gifts: How Management Capacity Augments the Impact of Managerial Networking
Kenneth J. Meier
Texas A&M University, kmeier@polisci.tamu.edu
Laurence J. O'Toole
University of Georgia, cmsotool@uga.edu
*** Saturday, Aug 30, 10:15 AM
21-11 / 39-1 International Environmental Conflict and Cooperation: Evidence from New Data
What You See is What You Want: The Evolution of Monitoring Networks for Water Quality in Europe
Thomas C. Bernauer
ETH Zurich, thbe0520@ethz.ch
Anna Kalbhenn
ETH Zurich, kalbhenn@ir.gess.ethz.ch
PS 5 Divisions 5, 6, 7, 8, 38, 41, 44, 46, and 47
Network Interdependencies and Specification of Weight Matrices: A Sptial-Network Analysis of Top Corporate Tax Rates
Xun Cao
Princeton University, caox@essex.ac.uk
Persistent Patterns of International Militarized Rivalries: A Network Approach to International Rivalries
Jinyoung Kim
University of Washington, Seattle, kjinyn@u.washington.edu
Regional Integration of Trade and Intergovernmental Administrative Networks: Comparing OLS-Regression, Spatially Lagged Models and Spatial Error Model
Paul W. Thurner
University of Mannheim, paul.thurner@mzes.uni-mannheim.de
When Social Networks Undermine Democracy: Nazi Paramilitaries and the Fall of the Weimar Republic
Vincent Boutet-Lehouillier
University of Wisconsin-Madison, boutetlehoui@wisc.edu
The Illicit Arms Trade: Network Data and Analysis
David Kinsella
Portland State University, kinsella@pdx.edu
*** Saturday, Aug 30, 2:00 PM
5-15 / 33-12 Religion and Political Psychology
Attitude Formation within Political and Religious Networks
Carrie Konold
University of Michigan, ckonold@umich.edu
44-9 Informal Mechanisms Underlying Regime Stability: Comparative Evidence from the Middle East
Resilient Authoritarianism in Syria: The Role of Informal State-Business Networks
Bassam Haddad
George Mason University, bhaddad@sju.edu
*** Saturday, Aug 30, 4:15 PM
24-14 / 40-8 Blogging, eGovernment, and Public Administration
Agency-Related Blogs as Forums for Policy Networks
Julianne Mahler
George Mason University, jmahler@gmu.edu
Priscilla M. Regan
George Mason University, pregan@gmu.edu
*** Sunday, Aug 31, 8:00 AM
12-20 Violence and the Emergence of Ethnic Identity: Cleavage Construction, Conflict and Peace in Africa, Asia, and Europe.
Dismantling Ethnic Frames via Networks: Defusing Separatism via Brokerage and Network Clientalism
Sherrill Stroschein
University College, London, s.stroschein@ucl.ac.uk
24-5 / 28-1 States and Feds: Complexities of Intergovernmental Management
Interstate Cooperation: Interstate Compacts and the Influence of Networks
Kathleen M. Hale
Auburn University, halekat@auburn.edu
Ramona S. McNeal
University of Northern Iowa, mcnealr@uni.edu
Regional Governance and Intergovernmental Inequality: Impacts of Collaborative Networks on Inter-Local Inequality in Minneapolis, Pittsburgh and St. Louis Regions
Joo Hun Lee
University of Pittsburgh, jules529@gmail.com
38-8 Political Communication, Globalization, and Global Media Environments
Cosmopolitanism and U.S. Cities in the Global City Network
Andrew Rojecki
University of Illinois, Chicago, arojecki@uic.edu
39-10 / 40-6 Global Multistakeholder Networked Governance for Information and Communication Technology Policy
Network Governance, Information Technology and Global Religion
Michel Laguerre
University of California, Berkeley, bcgit@berkeley.edu
Communication Technology, Repressive Hierarchies and Defiant Networks: Is the State or Civil Society Winning the Information Race?
Patrick Meier
Tufts University, patrick.meier@tufts.edu
Posted by David Lazer at 9:51 PM | Comments (0)
10 August 2008
I recently picked up my oldest daughter from immersion Chinese camp in Vermont (an interesting statement in itself about global networks). It was striking to me that as soon as she got home, she got on Facebook to friend many of the kids she got to know in camp. This was quite a contrast to my own experiences in high school and college (fairly typical of my cohort), when intense, immersive social experiences for the Summer almost never yielded friendships that lasted beyond. I wonder what the long run effects of Facebook and related sites/technologies will be? Do they make friendships stickier? There are a few reasons why they might. First, the technology is designed (e.g., through "status updates") to remind you about your "friends." You will still see status updates pop up on someone you friended years later. Second, Facebook acts as a self-updating address book. For example, when all of the kids in my daughter's camp cohort go off to college, they will update their profiles accordingly. Facebook thus greatly facilitates search--search based on finding a particular friend, or finding friends in particular locations. E.g., will my daughter, years from now, move to some town, and notice that someone she went to camp with in high school is there, and resume that latent friendship? In my generation that would have been implausible; for the Facebook generation, I suspect it will be rather different.
This yields an interesting, researchable question for some reader out there. One could imagine a survey of people, say in their late 20's, asking how many were still friends with people they met in high school, as well as people they met during high school but not in high school. If one could do repeated cross sections over the next decade, the question is whether there is a sharp disjuncture at the point that Facebook became near universal.
Posted by David Lazer at 8:24 AM | Comments (8)
4 August 2008
I recently made an effort to track down the data from Theodore Newcomb's classic work on The Acquaintance Process. These were network and attitudinal data he collected from incoming students at the University of Michigan in the 1950s. These were unique, and costly data to collect. The network data were preserved by a student in a dissertation, and are now immortalized (?) in the data included with the UCINET software. However, to someone like me interested in how networks and people co-evolve (see my 2001 JMS paper on "The coevolution of individual and network"), having the attitudinal data over time is what made the data valuable.
After having retrieved the same dissertation, and spoken to Ken Frank, who had had similar thoughts some years ago and had actually dug through archives at Michigan, my sad conclusion is that these rich, unique, expensive, irreplaceable data are simply gone. (I am happy to be disabused of this notion if someone can prove I am wrong.)
This was terribly unfortunate, from my immediate perspective, because I had some need to replicate some findings with longitudinal data I had recently collected on networks and political attitudes, and this was one of the few data sets that fit the bill (in fact, I have not found _any_ other good longitudinal data sets on whole networks and political attitudes-- again, happy to find out that I am wrong about that).
The broader lesson I want to convey is that it is important to make your data publicly available. And I think this is especially important for (generally) micro, whole network data sets, because there are necessarily concerns about replication and external validity. There are concerns about replication, because of the possibility, esp with limited N's, that results were over-fitted to the particular data set. There are concerns about external validity, because even if the results are a fair representation of the data, there may be some quirk about the particular setting driving results.
So: it would be enormously valuable to be able to reach into a vast archive of all social network data sets ever gathered and, given appropriate variables, etc, replicate a set of findings (or not) across multiple data sets. (In fact, I think that such built in replication should be de rigeur in published studies of micro settings. But that's a story for another day.)
That is simply not possible now. And data are dying every day, as files get thrown out, people's memories fade, etc. Say, if one went to social network research published in ASQ from the 1990s, how many of those data sets are publicly available? I would bet close to zero. How many could be retrieved in some fashion and made available? Not many, I think. And this would be far worse as one looks further back in time.
There are, of course, some centralized depositories of social science data (most notably, ICPSR). But IQSS has recently developed a new model of preserving data, which is really around creating an infrastructure (the "Dataverse") to allow decentralized mechanisms for data sharing, and one that I think is "incentive compatible" with getting some credit for creating a public good. (In fact, more should be done to recognize good data, and people who collect good data; again, a story for another day.)
[An addendum to original post, the network workbench initiative offers another bottom up type of model to save network data, via wiki.]
The remainder of this post is excerpted from an e-mail from Gary King, describing the project:
For those who have collected research data and made it available to others, its nice when people thank you. But it would be nicer to receive formal scholarly citation credit and web visibility for your hard work. The Dataverse Network project is designed to get you that credit and visibility.
The idea is to give you a free "dataverse" (your view of the universe of data) -- which is a virtual archive where you can store, permanently preserve, and distribute your data (or list data from other dataverses) with everyone or only those you approve. Your dataverse is branded as yours, with the look and feel of your web site and on your web site, but since it is served out by an installation of the Dataverse Network at Harvard you needn't install any software or hardware. Some other features include:
* Safe and permanent data storage in preservation format branded
as yours.
* No need to translate data when statistical software formats change.
* Can be easily re-branded if you move institutions, but either way
will never be lost.
* Formal citation credit for your data, including a globally unique
identifier and universal numeric fingerprint.
* Establish an unbreakable link between your data and related
published work.
* Easy ways for others to find your data and associated scholarship.
* Share your data with everyone, or those who sign your licensing
agreement, or only individuals or groups you approve.
* Allow users to subset, recode, and download your data in any format
* Run many advanced statistical methods via a GUI on-line.
An interesting but under-appreciated fact is that if you are at an institution that receives federal funding, and you share research data or put it on your web site without prior IRB approval, you are violating federal regulations. (This includes any research data, even that compiled from information in the public domain, from IRB-approved research protocols, or from any other source.) To avoid this problem, the Dataverse Network has automated the IRB data approval process, and so if you have a dataverse in most cases going to the IRB is unnecessary.
For an example, go to my homepage at http://gking.harvard.edu and click on dataverse. To get your own dataverse, go to the IQSS Dataverse Network, http://dvn.iq.harvard.edu. For more information on our open source Dataverse Network project, see http://TheData.org.
Posted by David Lazer at 10:09 PM | Comments (0)
Over 3 billion people carry mobile telephones, which automatically capture behavioral data and store it in service provider databases around the world. The different types of captured data can provide insight into different cultures. I have an upcoming article in IEEE Intelligent Systems describing how examples from a variety of societies and hundreds of millions of individuals illustrate how phones can serve as a cultural lens, improving our understanding of social networks, outlier events, and a culture’s pace of life. It is a bit of an overview piece describing mostly future work, but hopefully it provides a good starting point for discussion.
Nathan Eagle. Behavioral Inference Across Cultures: Using Telephones as a
Cultural Lens, IEEE Intelligent Systems, 2008, Vol 23 (4), pp. 60-62. PDF
Posted by Nathan Eagle at 10:05 AM | Comments (2)