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Data Analysis in Social Network: A Case Study

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 12630))

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Abstract

Authors propose a structural design of social networks to study architecture of social networking site and its working principles. Typical social networking sites have three-tier architecture which induces higher searching time for user queries. Our proposal presents a load balancing module for protecting user enquiries before spreading them to data server. In this chapter, query optimization of user queries for faster results has been discussed. Experimentation results exhibit possibilities of data (user queries) failure reduction due to external disturbances. Authors have analyzed large scale data of social network through graph for reducing data loss and minimal network failure to maintain scale free growth in Social network. Properties of interface module and growth coefficient are to be analyzed to exhibit benefits of proposed system architecture for balancing load from web server to data server through Hash table cache, Log table and index control module with scale-free query optimization.

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Authors and Affiliations

  1. Netaji Subhash Engineering College, Kolkata, 700152, India

    Mou De, Anirban Kundu & Nivedita Ray De Sarkar

  2. Computer Innovative Research Society, Howrah, 711103, West Bengal, India

    Mou De, Anirban Kundu & Nivedita Ray De Sarkar

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  1. Mou De
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  2. Anirban Kundu
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  3. Nivedita Ray De Sarkar
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Correspondence to Mou De .

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Editors and Affiliations

  1. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  2. IFS, Technical University of Vienna, Vienna, Austria

    A Min Tjoa

  3. University of Pau and the Adour Region, Anglet, France

    Richard Chbeir

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De, M., Kundu, A., De Sarkar, N.R. (2021). Data Analysis in Social Network: A Case Study. In: Hameurlain, A., Tjoa, A.M., Chbeir, R. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII. Lecture Notes in Computer Science(), vol 12630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-62919-2_5

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  • DOI: https://doi.org/10.1007/978-3-662-62919-2_5

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