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Signed Social Networks: A Survey

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Advances in Computing and Data Sciences (ICACDS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 721))

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Abstract

People hold both sorts of emotions-positive and negative against each other. Online social media serves as a platform to show these relationships, whether friendly or unfriendly, like or dislike, agreement or dissension, trust or distrust. These types of interactions lead to the emergence of Signed Social Networks (SSNs) where positive sign represents friend, like, trust, agreement and negative sign represents foe, dislike, distrust and disagreement. Although an immense body of work has been dedicated to the field of social networks; the field of SSNs remains not much explored. This survey first frames the concept of signed networks and offers a brief discourse on the two most prevalent theories of social psychology applied to study them. Then, we address the various state-of-the-art issues which relates the real world scenarios with signed networks. Grounded along the network attributes, this survey talks about the different metrics used to analyze these networks and the real world datasets used for observational purposes. This paper, makes an attempt to follow the contours of research in the area to provide readers with a comprehensive understanding of SSNs elaborating the open research areas.

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Notes

  1. 1.

    https://snap.stanford.edu/data/soc-sign-epinions.html.

  2. 2.

    https://snap.stanford.edu/data/soc-sign-Slashdot090221.html.

  3. 3.

    https://snap.stanford.edu/data/wiki-RfA.html.

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Authors and Affiliations

  1. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, 110067, India

    Nancy Girdhar & K. K. Bharadwaj

Authors
  1. Nancy Girdhar
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  2. K. K. Bharadwaj
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Corresponding author

Correspondence to Nancy Girdhar .

Editor information

Editors and Affiliations

  1. Krishna Engineering College, Ghaziabad, Uttar Pradesh, India

    Mayank Singh

  2. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Raghogarh, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Indira Gandhi Delhi Technical University, New Delhi, India

    Arun Sharma

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, Canada

    Tuncer Ören

  6. Department of Computer and Information Science, University of Michigan-Dearborn, Dearborn, Michigan, USA

    William Grosky

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Girdhar, N., Bharadwaj, K.K. (2017). Signed Social Networks: A Survey. In: Singh, M., Gupta, P., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds) Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore. https://doi.org/10.1007/978-981-10-5427-3_35

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  • DOI: https://doi.org/10.1007/978-981-10-5427-3_35

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  • Print ISBN: 978-981-10-5426-6

  • Online ISBN: 978-981-10-5427-3

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