基于数据挖掘技术的社交网络分析

Shubhi Goel, R. K. Dwivedi, Anu Sharma
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引用次数: 1

摘要

本文的目的是建立一个模型来理解关于某个话题的“意见”是如何形成的。在我们的世界模型中,意见有两个要素:抽象:意见是关于什么的,例如,关于废钞令的意见可以是“关于一个主题”,如“数字印度”、腐败、莫迪总理等。表达:观点的“情绪”,即积极的、消极的或中性的。此外,我们说,当人们分享多种观点时,相似的观点开始联合起来,强化其他相似的观点,从而变得更强。换句话说,人们开始支持其他有相似观点的人,结果,观点变成了叙述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Social Network using Data Mining Techniques
The objective of this paper is to build a model to understand how “opinions” about a certain topic get formed. In our model of the world, an opinion has two elements: Abstraction: What the opinion is about, for e.g. an opinion on demonetisation can be ‘about a topic’ such as “Digital India”, Corruption, PM Modi, etc. Expression: The “sentiment” of the opinion, i.e. positive, negative or neutral. Further, we say that when multiple opinions are shared among people, similar opinions start teaming up, reinforce other similar opinions, and thus become stronger. In other words, people start supporting other people having similar opinions, and as a result, opinions turn into narratives.
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