Skip to main content Accessibility help
×
Home
Hostname: page-component-55b6f6c457-kv5sj Total loading time: 0.426 Render date: 2021-09-24T01:13:50.674Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "metricsAbstractViews": false, "figures": true, "newCiteModal": false, "newCitedByModal": true, "newEcommerce": true, "newUsageEvents": true }

Scraping Public Co-Occurrences for Statistical Network Analysis of Political Elites

Published online by Cambridge University Press:  14 September 2017

Abstract

Collecting network information on political elites using conventional methods such as surveys and text records is challenging in authoritarian and/or conflict-ridden states. I introduce a data collection method for elite networks using scraping algorithms to capture public co-appearances at political and social events. Validity checks using existing data show the method effectively replicates interaction-based networks but not networks based on behavioral similarities; in both cases, measurement error remains a concern. Applying the method to Nigeria illustrates that patronage—measured in terms of public connectivity—does not drive national oil companies appointments. Given that theories of elite behavior aim to understand individual-level interactions, the applicability of data using this technique is well-suited to situations where intrusive data collection is costly or prohibitive.

Type
Research Note
Copyright
© The European Political Science Association 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

Paasha Mahdavi is an Assistant Professor in the McCourt School of Public Policy, Georgetown University, Old North, Suite 100, 3700 O Street NW, Washington, DC 20057 (paasha.mahdavi@georgetown.edu). This paper has benefited from discussions with Nicholas Beauchamp, Graeme Blair, Bruce Desmarais, Mark Handcock, John Ishiyama, Franziska Keller, Jeffrey Lewis, Lauren Peritz, Brandon Stewart, Josef Woldense and participants at the 2014 meeting of the Society for Political Methodology, the 2015 meeting of the American Political Science Association, and the UCLA working group on statistical network analysis. The author thanks the editors and three anonymous reviewers for their comments and suggestions. All errors are the authors own. To view supplementary material for this article, please visit https://doi.org/10.1017/psrm.2017.28

References

Avina-Vazquez, Carlos Rafael, and Uddin, Shahzad. 2016. ‘Social capital, networks and interlocking directorates: A Mexican tale’. Journal of Accounting in Emerging Economies 6(3):291312.CrossRefGoogle Scholar
Bueno de Mesquita, Bruce, Smith, Alastair, Siverson, Randolph, and Morrow, James. 2003. The Logic of Political Survival. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Cranmer, Skyler J., and Desmarais, Bruce A.. 2011. ‘Inferential network analysis with exponential random graph models’. Political Analysis 19(1):6686.CrossRefGoogle Scholar
Desmarais, Bruce A., Moscardelli, Vincent G., Schaffner, Brian F., and Kowal, Michael S.. 2015. ‘Measuring legislative collaboration: The Senate press events network’. Social Networks 40:4354.CrossRefGoogle Scholar
Fowler, James H. 2006. ‘Connecting the Congress: A Study of Cosponsorship Networks’. Political Analysis 14(4):456487.CrossRefGoogle Scholar
Gillies, Alexandra. 2009. ‘Reforming corruption out of Nigerian oil?’. Chr. Michelson Institute U4 Brief 2:14.Google Scholar
Grimmer, Justin, and Stewart, Brandon M.. 2013. ‘Text as data: The promise and pitfalls of automatic content analysis methods for political texts’. Political Analysis 21:267297.CrossRefGoogle Scholar
Ishiyama, John. 2014. ‘Assessing the leadership transition in North Korea: Using network analysis of field inspections, 1997-2012’. Communist and Post-Communist Studies 47:137146.CrossRefGoogle Scholar
Lazer, David. 2011. ‘Networks in political science: Back to the future’. PS: Political Science & Politics 44(1):6168.Google Scholar
Lee, Sang Hoon, Kim, Pan-Jun, Ahn, Yong-Yeol, and Jeong, Hawoong. 2010. ‘Googling social interactions: Web search engine based social network construction’. PLoS ONE 5(7):e11233.CrossRefGoogle ScholarPubMed
Mahdavi, Paasha, and Ishiyama, John. 2016. Dynamics of the inner elite in dictatorships: Evidence from North Korea. Unpublished manuscript, Georgetown University.Google Scholar
Scott, James C. 1972. ‘Patron-client politics and political change in Southeast Asia’. American Political Science Review 66(1):91113.CrossRefGoogle Scholar
Svolik, Milan. 2012. The Politics of Authoritarian Rule. New York, NY: Cambridge University Press.CrossRefGoogle Scholar
Victor, David G., Hults, David, and Thurber, Mark C. (Eds.) 2012. Oil and Governance: State-owned Enterprises and the World Energy Supply. New York, NY: Cambridge University Press.Google Scholar
Victor, Jennifer N., and Ringe, Nils. 2009. ‘The social utility of informal institutions caucuses as networks in the 110th US House of Representatives’. American Politics Research 37(5):742766.CrossRefGoogle Scholar
Ward, Michael D., Stovel, Katherine, and Sacks, Audrey. 2011. ‘Network analysis and political science’. Annual Review of Political Science 14:245264.CrossRefGoogle Scholar
Wasserman, Stanley, and Faust, Katherine. 1994. Social Network Analysis: Methods and Applications. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Supplementary material: PDF

Mahdavi supplementary material

Online Appendix

Download Mahdavi supplementary material(PDF)
PDF 4 MB
3
Cited by

Send article to Kindle

To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Scraping Public Co-Occurrences for Statistical Network Analysis of Political Elites
Available formats
×

Send article to Dropbox

To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

Scraping Public Co-Occurrences for Statistical Network Analysis of Political Elites
Available formats
×

Send article to Google Drive

To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

Scraping Public Co-Occurrences for Statistical Network Analysis of Political Elites
Available formats
×
×

Reply to: Submit a response

Please enter your response.

Your details

Please enter a valid email address.

Conflicting interests

Do you have any conflicting interests? *