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Quality & Quantity

, Volume 49, Issue 2, pp 581–598 | Cite as

A webometric approach to policy analysis and management using exponential random graph models

  • Kyujin Jung
  • Se Jung Park
  • Wei-Ning Wu
  • Han Woo Park
Article

Abstract

Many studies have examined citizen participation in policymaking and its delivery mechanisms through social media tools such as Facebook, Twitter, and YouTube, but few have explored empirical strategies to investigate the nature of online citizen participation in the field of policy analysis and management. The webometric approach is a quantitative tool for capturing network-based intercommunication derived from the Web 2.0 sphere as user-generated content by using diverse methods in informetrics. By applying this approach to examine citizen participation on social media, this study introduces an empirical strategy for collecting data on social media tools used by governments and identifies patterns of citizens’ e-participation and relationships between citizens, governments, and various organizations involved in policymaking processes through social media. The results based on the 311 service platforms of New York City and San Francisco suggest that the webometric approach can not only extract government agencies’ communication behaviors toward others on social media but also capture the overall network structure, the pattern of interactions between participants, and network properties of participants.

Keywords

Webometrics Policy analysis and management e-Participation  Government 2.0 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Kyujin Jung
    • 1
  • Se Jung Park
    • 2
  • Wei-Ning Wu
    • 1
  • Han Woo Park
    • 3
  1. 1.Department of Public AdministrationUniversity of North TexasDentonUSA
  2. 2.Department of CommunicationGeorgia State UniversityAtlantaUSA
  3. 3.Department of Media and CommunicationYeungNam UniversityGyeongsanSouth Korea

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