A webometric approach to policy analysis and management using exponential random graph models-government.vision

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

Abstract

Many studies have looked at citizen participation in politics and access to social networks such as Facebook, Twitter, and YouTube, but few have looked at the principles of the social networks system. A webometric method is a good tool for collecting information through webometric 2.0 information systems and is also created by the user using different methods in information. Using this approach to assess population access to websites, this study highlights key resources for gathering information on government resources used by the government and demonstrating participation when citizens have a relationship between different citizens, governments, and organizations management in the media. The results of the New York and San Francisco 313 excellence service show that web-based methods not only remove government connections from other social networks but also include all initial conversations, which is an example of communication between participants and active communication with sponsors.

Introduction

Several studies (Choi and Park 2014; Chung et al. 2014; Khan et al. 2014a, b; Lee and Park 2013; Park 2013; Sams and Park 2014) examined tips and methods for the electronic component (e-participation) on media platforms (e.g., Facebook, Twitter, and YouTube). ), but few (Yoon and Park 2014) have explored the enormous contribution that can be made to the public analysis and systematic.

The ratiometric system is a platform for collecting information via Internet links from certain websites using various methods in Infetetrics (Park 2010; Park et al. 2011; Sams et al. 2011). Using this online participation method, this study provides valuable support for extracting data from the state media and finding ways of citizen participation and relationships between citizens, governments, and other law enforcement agencies through the webometric media. 311 The New York and San Francisco service standards have different standards for using network webometric to better understand the type of participation in social networks.

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