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

A webometric approach to policy analysis and management using exponential random graph models 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

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

Loading next page...
 
/lp/springer_journal/a-webometric-approach-to-policy-analysis-and-management-using-44WAOEzY28
Publisher
Springer Netherlands
Copyright
Copyright © 2014 by Springer Science+Business Media Dordrecht
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-014-0010-2
Publisher site
See Article on Publisher Site

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.

Journal

Quality & QuantitySpringer Journals

Published: Mar 9, 2014

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off