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Areas of Life Visualisation: Growing Data-Reliance

  • Jesse TranEmail author
  • Quang Vinh Nguyen
  • Simeon Simoff
  • Mao Lin Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9929)

Abstract

This paper presents a framework to mine and identify the areas of life and the way they are perceived, understood cognitively, and effectively using visualisation and machine learning. We provide an overview of the network of users including their activity and connections as well as zoom and details on demand of each individual areas of life. This research identifies the factors of each area of life which are significant on the user’s social media profile in relation to information associated with each user such as time and location, including dynamic social behaviours. It aims to identify the key psychological factors and salient behaviours in order to find out the psychological factors of the user, and other overheads that can be portrayed in an image.

Keywords

Data visualisation Areas of life Social networks Psychology Dynamic social behaviours Twitter Machine learning 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Jesse Tran
    • 1
    Email author
  • Quang Vinh Nguyen
    • 1
  • Simeon Simoff
    • 1
  • Mao Lin Huang
    • 2
  1. 1.MARCS Institute and School of Computing, Engineering and MathematicsWestern Sydney UniversityPenrithAustralia
  2. 2.School of Software, Faculty of Engineering and ITUniversity of TechnologySydneyAustralia

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