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Analysis and Mining of Social Network Data For Society Issues By Using Big Data

机译:使用大数据分析和挖掘社会问题的社会网络数据

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Social network services have become a major source of information for users. It allows people to create, share or exchange information, ideas, pictures and videos among networks. Social data mining is the process of analyzing, representing as well as extracting actionable patterns from social network data. As online social network services have become more popular today. User generated contents within such social network services have exploded. Among a variety of social network services, we have chosen twitter because it is rapidly growing recently and here user post short texts called tweets about their topic of interest, reply to other's tweets and also disseminate information to other users by re-tweeting. We present results of network analysis of various information shared on twitter based on certain categories which includes Women safety, Unemployment, Destruction of agriculture, Education system and Political issues.
机译:社交网络服务已成为用户信息的主要资料来源。 它允许人们在网络中创建,分享或交换信息,想法,图片和视频。 社交数据挖掘是分析,代表的过程以及从社交网络数据中提取可操作模式。 由于在线社交网络服务今天变得更加受欢迎。 用户生成的内容在此类社交网络服务中已爆炸。 在各种社交网络服务中,我们选择了Twitter,因为它最近在这里迅速增长,并且在这里,用户发布了关于他们感兴趣的话题的短文字,回复其他的推文,并通过重新推断来向其他用户传播信息。 我们根据妇女安全,失业,农业破坏,农业,教育系统和政治问题的某些类别提供了对Twitter共享的各种信息的网络分析的结果。

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