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Survey on Social Networks Data Analysis

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Innovations for Community Services (I4CS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1139))

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Abstract

Social networks are the most successful Web 2.0 applications, where users share and create over 2.5 quintillion bytes of data daily. This data can be exploited to retrieve many kinds of information which will be used in several applications. In fact, social networks have attracted considerable attention from researchers in different domains. This paper serves as an introduction to social network data analysis. In this work we present the recent and representative works in social network data analysis in an analytical fashion. We also highlight most important applications and used methods in the context of structural data analysis. Then, we list the major tasks and approaches proposed to analyse added-content in social media.

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Notes

  1. 1.

    A measure to capture the vague notion of importance in a graph, used to identify the most significant vertices.

  2. 2.

    https://www.flickr.com/.

  3. 3.

    https://www.facebook.com/.

  4. 4.

    https://en.wikipedia.org/wiki/Global_Positioning_System.

  5. 5.

    https://en.wikipedia.org/wiki/Geographic_information_system.

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Authors and Affiliations

  1. Computing Department, Community College, Imam Abdulrahman Bin Faisal University, Dammam, 34212, Saudi Arabia

    Soufien Jaffali

  2. Sfax University, 3029, Sfax, Tunisia

    Salma Jamoussi & Abdelmajid Ben Hamadou

  3. Computing Department, Deanship of Preparatory Year and Supporting Studies, Imam Abdulrahman Bin Faisal University, Dammam, 34212, Saudi Arabia

    Nesrine Khelifi

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  1. Soufien Jaffali
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  2. Salma Jamoussi
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  3. Nesrine Khelifi
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  4. Abdelmajid Ben Hamadou
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Correspondence to Soufien Jaffali .

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  1. Kalinga Institute of Industrial Technology, Bhubaneswar, India

    Siddharth Swarup Rautaray

  2. Deutsche Telekom Technology & Innovation, Darmstadt, Germany

    Gerald Eichler

  3. University of Applied Sciences Jena, Jena, Germany

    Christian Erfurth

  4. University of Hagen, Hagen, Germany

    Günter Fahrnberger

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Jaffali, S., Jamoussi, S., Khelifi, N., Hamadou, A.B. (2020). Survey on Social Networks Data Analysis. In: Rautaray, S., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2020. Communications in Computer and Information Science, vol 1139. Springer, Cham. https://doi.org/10.1007/978-3-030-37484-6_6

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