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Community Detection and Analysis of Twitter Social Data

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Über Community Detection and Analysis of Twitter Social Data

Human is a social animal, this line itself explains the importance of society in one's life. Society brings stability, a medium to express thoughts. Society leads to social interaction which eventually brings thoughtful minds. Humans have the intrinsic nature of analyzing and opinionating things and persons. This keen nature of humanity has emerged as a new field of analysis that is social data analysis. Internet has merged the world today and as a result, human social circles have expanded. There are various peculiar social networking sites available on the internet, some of them are on Facebook, Twitter, LinkedIn and many more. Each maintains accounts of billions of active users and the huge amount of data is being produced as a result of interactions over such sites. Hence analyzing this data is a tedious task. But analysis of such online social communities and predicting their behavior is of great importance for businesses and academics. For our research purpose, we have used Twitter as a key medium for social data. This study aims to develop a research-based application using twitter and R-tool for social data analysis.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783659805059
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 72
  • Veröffentlicht:
  • 30 August 2018
  • Abmessungen:
  • 150x5x220 mm.
  • Gewicht:
  • 125 g.
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Beschreibung von Community Detection and Analysis of Twitter Social Data

Human is a social animal, this line itself explains the importance of society in one's life. Society brings stability, a medium to express thoughts. Society leads to social interaction which eventually brings thoughtful minds. Humans have the intrinsic nature of analyzing and opinionating things and persons. This keen nature of humanity has emerged as a new field of analysis that is social data analysis. Internet has merged the world today and as a result, human social circles have expanded. There are various peculiar social networking sites available on the internet, some of them are on Facebook, Twitter, LinkedIn and many more. Each maintains accounts of billions of active users and the huge amount of data is being produced as a result of interactions over such sites. Hence analyzing this data is a tedious task. But analysis of such online social communities and predicting their behavior is of great importance for businesses and academics. For our research purpose, we have used Twitter as a key medium for social data. This study aims to develop a research-based application using twitter and R-tool for social data analysis.

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