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egoPortray: Visual Exploration of Mobile Communication Signature from Egocentric Network Perspective

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MultiMedia Modeling (MMM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10132))

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Abstract

The coming big data era calls for new methodologies to process and analyze the huge volumes of data. Visual analytics is becoming increasingly crucial in data analysis, presentation, and exploring. Communication data is significant in studying human interactions and social relationships. In this paper, we propose a visual analytics system named egoPortray to interactively analyze the communication data based on directed weighted ego network model. Ego network (EN) is composed of a centered individual, its direct contacts (alters), and the interactions among them. Based on the EN model, egoPortray presents an overall statistical view to grasp the entire EN features distributions and correlations, and a glyph-based group view to illustrate the key EN features for comparing different egos. The proposed system and the idea of ego network can be generalized and applied in other fields where network structure exits.

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Acknowledgments

The authors acknowledge Zhi-Yao Teng for useful discussions. This work was partially supported by the National Natural Science Foundation of China (Grant Nos. 61302077, 61421061, 61433014, 11222543 and 61502083) and the Key Project of the National Research Program of China (Grant No. 2012BAH41F03). Qing Wang acknowledges the joint cooperation project of BUPT and China Telecom Beijing Institute.

Author information

Authors and Affiliations

  1. State Key Laboratory of Networking and Switching Technology, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Qing Wang, Zheng Hu & Hui Tian

  2. CompleX Lab, Web Sciences Center, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Jiansu Pu

  3. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China

    Yuanfang Guo

Authors
  1. Qing Wang
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  2. Jiansu Pu
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  3. Yuanfang Guo
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  4. Zheng Hu
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  5. Hui Tian
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Corresponding authors

Correspondence to Qing Wang or Jiansu Pu .

Editor information

Editors and Affiliations

  1. CNRS–IRISA, Rennes, France

    Laurent Amsaleg

  2. Reykjavík University, Reykjavik, Iceland

    Gylfi Þór Guðmundsson

  3. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  4. Reykjavik University, Reykjavik, Ireland

    Björn Þór Jónsson

  5. National Institute of Informatics, Tokyo, Japan

    Shin’ichi Satoh

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Wang, Q., Pu, J., Guo, Y., Hu, Z., Tian, H. (2017). egoPortray: Visual Exploration of Mobile Communication Signature from Egocentric Network Perspective. In: Amsaleg, L., Guðmundsson, G., Gurrin, C., Jónsson, B., Satoh, S. (eds) MultiMedia Modeling. MMM 2017. Lecture Notes in Computer Science(), vol 10132. Springer, Cham. https://doi.org/10.1007/978-3-319-51811-4_53

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  • DOI: https://doi.org/10.1007/978-3-319-51811-4_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51810-7

  • Online ISBN: 978-3-319-51811-4

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