Keyword based searching in social networks

Zainab Nayyar, Nousheen Hashmi, N. Rafique, Khurram Mahmood
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引用次数: 2

Abstract

The main purpose of analyzing the social network data is to observe the behaviors and trends that are followed by people. How people interact with each other, what they usually share, what are their interests on social networks, so that analysts can focus new trends for the provision of those things which are of great interest for people so in this paper an easy approach of gathering and analyzing data through keyword based search in social networks is examined using NodeXL and data is gathered from twitter in which political trends have been analyzed. As a result it will be analyzed that, what people are focusing most in politics.
社交网络中基于关键字的搜索
分析社交网络数据的主要目的是观察人们所遵循的行为和趋势。人们如何相互交流,他们通常分享什么,他们在社交网络上的兴趣是什么,这样分析人员就可以关注新的趋势,为人们提供那些非常感兴趣的东西,所以在本文中,一种简单的方法是通过基于关键字的搜索在社交网络中收集和分析数据,使用NodeXL进行检查,并从twitter收集数据,其中分析了政治趋势。因此,将分析人们在政治中最关注的是什么。
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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