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

Title
A webometric approach to policy analysis and management using exponential random graph models
Author(s)
박한우Kyujin Jung[Kyujin Jung]Wei-Ning Wu[Wei-Ning Wu]Se Jung Park[Se Jung Park]
Keywords
SOCIAL MEDIA USE; SOUTH-KOREA; NETWORK ANALYSIS; GOVERNMENT; COMMUNICATION; POLITICIANS; STRATEGIES; CITIZENS; INTERNET; BEHAVIOR
Issue Date
201503
Publisher
SPRINGER
Citation
QUALITY & QUANTITY, v.49, no.2, pp.581 - 598
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.
URI
http://hdl.handle.net/YU.REPOSITORY/33034http://dx.doi.org/10.1007/s11135-014-0010-2
ISSN
0033-5177
Appears in Collections:
문과대학 > 언론정보학과 > Articles
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