波斯语网络流量图分析的新模型

2017 9th International Conference on Information and Knowledge Technology (IKT) Pub Date : 2017-10-01 DOI:10.1109/IKT.2017.8258634

Maryam Tasviri, Hoda Ghavamipour, S. Golpayegani

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引用次数: 0

摘要

本文试图为波斯语网络流量图的分析提供一个新的模型。该图是根据两个网站之间的关系链接，根据每个网站的入站和出站流量生成的。生成图形的基本信息是从Alexa.com检索到的。然后使用几种社交网络分析技术分析该图表。本研究的结果表明，有影响力的网站可以通过网络流量的中介中心性、In度和Out度等因素的组合来识别。此外，有影响力的网站可以进行有益的修改，这将符合提高波斯语网站内容的质量，包括增加总体访问量。

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A new model for the analysis of Persian web traffic graphs

This paper attempts to provide a new model for the analysis of a Persian-language web traffic graph. This graph was generated according to the relationship link between two websites, based on the inbound and outbound traffic of each website. The essential information for generating the graph was retrieved from Alexa.com. The graph was then analyzed using several social network analysis techniques. The results of this study indicated that influential websites can be identified using a combination of factors, such as betweenness centrality, In degree and Out degree of traffic in the network. Additionally, influential websites can make profitable modifications which would be in line with improving the quality of the content of Persian-language websites, including a greater number of overall visits.

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2017 9th International Conference on Information and Knowledge Technology (IKT)

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