动态的网络经济:内容分析的搜索引擎趋势和相关的结果使用词集群

Q4 Mathematics
Murat Yaslioglu
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引用次数: 1

摘要

网络经济是一个相对未被触及的领域,这种新经济的动态战略途径相当有限。网络经济是关于网络的。因此,决定跟踪互联网上的信息,包括几乎所有类型的文件。首先,利用趋势进行深度关联分析,找出与新经济动态相关的主题:网络效应、网络外部性、互操作性、大数据、开放标准和社交媒体。通过相关性分析,对上述关键词进行相关性分析。最后,在Linux命令行工具的帮助下,网络上所有干净的“顶级结果”被收集到各种大的文本文件中。利用Nvivo定性分析工具对这些文件进行分析,形成聚类。根据现有的广泛信息,对每个结果都进行了广泛的讨论。相信这种新的研究方法也将指导未来许多不同学科的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamics of the network economy: a content analysis of the search engine trends and correlate results using word clusters
Network economy is a relatively untouched area, strategic approach to the dynamics of this new economy is quite limited. Network economy is about the networks. Thus, it was decided to follow up the information on the internet including almost every kind of documentation. First, a deep relation analysis using trends was conducted to find out the related topics to new economy's dynamics: network effect, network externalities, interoperability, big data, open standards and social media. After the relation analysis, correlates of aforementioned keywords were analysed. Finally, all the clean 'top results' on the web were collected by the help of Linux command line tools into various, large text files. These files were analysed by the help of Nvivo qualitative analysis tool to form clusters. By the broad information available at hand, an extensive discussion on each result is written. It is believed that this new research approach will also guide many future researches on various subjects.
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来源期刊
International Journal of Data Analysis Techniques and Strategies
International Journal of Data Analysis Techniques and Strategies Decision Sciences-Information Systems and Management
CiteScore
1.20
自引率
0.00%
发文量
21
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