旅游内容共享网络的复杂网络分析

2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) Pub Date : 2015-09-21 DOI:10.1109/SYNASC.2015.67

A. Becheru, C. Bǎdicǎ, Mihaita Antonie

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引用次数: 0

摘要

本文介绍了利用复杂网络(CN)方法对旅游信息网站AmFostAcolo.ro进行分析的结果。这里完成的工作补充了之前的一篇论文，我们讨论了数据提取和建模到一个复杂的网络。通过观察得到的网络、社区和顶点的性质，提取有用的信息，检测社会现象。时间分析方法被用来检查网站的演变。结果证明了网站的自然发展和CN分析方法在该场景中的实用性。

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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Complex Network Analysis of a Tourism Content Sharing Network

This paper presents results of the analysis of a tourism information Web-site (AmFostAcolo.ro) by using Complex Networks (CN) methods. The work accomplished here complements a previous paper, where we discussed data extraction and modelling into a complex network. Properties of the resulted network, communities and vertices are looked upon, in order to extract useful information and detect social phenomena. Temporal analysis methods are employed for examining the evolution of the web-site. The results obtained prove the natural development of the Web-site and the usefulness of CN analysis methods in this scenario.

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2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

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