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A proposed social network analysis platform for big data analytics

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  • Chang, Victor

Abstract

This paper presents an important concept of Internet of People, a social network analysis approach to perform Big Data Analytics. The paper describes the development, management implications and analysis. To illustrate six points in the management issues, an in-house development of a SocialNetwork API with six functions has been demonstrated. The proposed method is focused on processing the contacts who click like or comment on the author's posts, as well as the queries and visualization. Results can be extracted and presented in data visualization. Six functions in the SocialNetwork API have evaluation tests, including a large scale of 50,000simulations completed within 60,000s. Results support our case of Big Data processing for social network analysis can be equivalent to CRM, ERP and MIS. Additionally, there are no costs involved. Related topics have been discussed in details. Our research contributions have been consolidated since our work have met research challenges for social network analysis and six management implications.

Suggested Citation

  • Chang, Victor, 2018. "A proposed social network analysis platform for big data analytics," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 57-68.
    • Handle: RePEc:eee:tefoso:v:130:y:2018:i:c:p:57-68
    DOI: 10.1016/j.techfore.2017.11.002
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    Cited by:

    1. Kumar, Harish & Singh, Manoj Kumar & Gupta, M.P. & Madaan, Jitendra, 2020. "Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    2. Scuotto, Veronica & Magni, Domitilla & Palladino, Rosa & Nicotra, Melita, 2022. "Triggering disruptive technology absorptive capacity by CIOs. Explorative research on a micro-foundation lens," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Ema Kušen & Mark Strembeck, 2021. "“Evacuate everyone south of that line” Analyzing structural communication patterns during natural disasters," Journal of Computational Social Science, Springer, vol. 4(2), pages 531-565, November.
    4. Yang, Xiaoping & Cao, Dongmei & Andrikopoulos, Panagiotis & Yang, Zonghan & Bass, Tina, 2020. "Online social networks, media supervision and investment efficiency: An empirical examination of Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    5. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Thrassou, Alkis & Vrontis, Demetris, 2022. "Social network games (SNGs) addiction: Psychological dimensions and impacts on life quality and society," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

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