Visualizing e-government emerging and fading themes using SNA techniques

Seyed Mohammad JafarJalali
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引用次数: 13

Abstract

Social network analysis (SNA) method is characterized as a structured technique for providing so as to analyse the connections within the networks by visualizing and analyzing relationships among documents, individuals, and even whole associations. The fundamental point of this research was to analyze the 4720 scientific documents on the field of E-Government through SNA techniques which decomposed the networks of the keywords of E-Government domain incorporated into the Web of Science Core Collection, a well-known scientific dataset during a time span of 20 years from 1995 to 2015. The algorithm of Burst Detection has been utilized for investigating the emergent trends and visualization of the E-Government domain. This study highlights the the most active research fronts of e-government, providing a research-based platform for further scholarly discussions.
使用SNA技术可视化电子政务新兴和衰落主题
社会网络分析(Social network analysis, SNA)方法的特点是一种结构化的技术,通过可视化和分析文档、个人甚至整个协会之间的关系,来分析网络内的联系。本研究的基点是通过SNA技术对1995 - 2015年20年间纳入著名科学数据集Web of Science Core Collection的电子政务领域关键词网络进行分解,对4720篇电子政务领域的科学文献进行分析。突发检测算法被用于研究电子政务领域的突发趋势和可视化。本研究突出了电子政务最活跃的研究前沿,为进一步的学术讨论提供了一个基于研究的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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