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Big Social Network Data and Sustainable Economic Development

Author

Listed:
  • Umit Can

    (Computer Engineering Department, Munzur University, 62000 Tunceli, Turkey)

  • Bilal Alatas

    (Software Engineering Department, Firat University, 23119 Elazig, Turkey)

Abstract

New information technologies have led to the rapid and effective growth of social networks. The amount of data produced by social networks has increased the value of the big data concept, which is one of the popular current phenomena. The immediate or unpredictable effects of a wide array of economic activities on large masses and the reactions to them can be measured by using social media platforms and big data methods. Thus, it would be extremely beneficial to analyze the harmful environmental and social impacts that are caused by unsustainable business applications. As social networks and big data are popular realms currently, their efficient use would be an important factor in sustainable economic development. Accurate analysis of people’s consumption habits and economic tendencies would provide significant advantages to companies. Moreover, unknown consumption factors that affect the economic preferences of individuals can be discovered and economic efficiency can be increased. This study shows that the numerous solution opportunities that are provided by social networks and big data have become significant tools in dynamic policy creation by companies and states, in solving problems related to women’s rights, the environment, and health.

Suggested Citation

  • Umit Can & Bilal Alatas, 2017. "Big Social Network Data and Sustainable Economic Development," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2027-:d:117863
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    References listed on IDEAS

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    Cited by:

    1. Patricia Ordóñez de Pablos & Miltiadis Lytras, 2018. "Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness," Sustainability, MDPI, vol. 10(6), pages 1-7, June.
    2. Aitor Goti & Alberto De la Calle & María José Gil & Ander Errasti & Pedro R. D. Bom & Pablo García-Bringas, 2018. "Development and Application of an Assessment Complement for Production System Audits Based on Data Quality, IT Infrastructure, and Sustainability," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    3. Wei Li & Desheng Xue & Xu Huang, 2018. "The Role of Manufacturing in Sustainable Economic Development: A Case of Guangzhou, China," Sustainability, MDPI, vol. 10(9), pages 1-17, August.
    4. Axel Jacob & Frank Teuteberg, 2020. "Towards a Taxonomy for Design Options of Social Networking Technologies in Sustainable Business Models," Sustainability, MDPI, vol. 13(1), pages 1-19, December.
    5. Lei Wang & Mengke Yang & Zulfiqar Hussain Pathan & Shafaq Salam & Khuram Shahzad & Jianqiu Zeng, 2018. "Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    6. Yufan Wang & Haili Zhang, 2020. "Achieving Sustainable New Product Development by Implementing Big Data-Embedded New Product Development Process," Sustainability, MDPI, vol. 12(11), pages 1-20, June.
    7. Shobhana Chandra & Sanjeev Verma, 2023. "Big Data and Sustainable Consumption: A Review and Research Agenda," Vision, , vol. 27(1), pages 11-23, February.
    8. Chun-Che Huang & Wen-Yau Liang & Shian-Hua Lin & Tzu-Liang (Bill) Tseng & Yu-Hsien Wang & Kuo-Hsin Wu, 2020. "Detection of Potential Controversial Issues for Social Sustainability: Case of Green Energy," Sustainability, MDPI, vol. 12(19), pages 1-22, September.
    9. Vasile-Daniel Păvăloaia & Elena-Mădălina Teodor & Doina Fotache & Magdalena Danileţ, 2019. "Opinion Mining on Social Media Data: Sentiment Analysis of User Preferences," Sustainability, MDPI, vol. 11(16), pages 1-21, August.
    10. Yang-Chieh Chin & Wen-Zhong Su & Shih-Chih Chen & Jianing Hou & Yu-Chuan Huang, 2018. "Exploring Users’ Self-Disclosure Intention on Social Networking Applying Novel Soft Computing Theories," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
    11. Enrique Bernal Jurado & Adoración Mozas Moral & Miguel Jesús Medina Viruel & Domingo Fernández Uclés, 2018. "Evaluation of Corporate Websites and Their Influence on the Performance of Olive Oil Companies," Sustainability, MDPI, vol. 10(4), pages 1-11, April.
    12. Can, Umit & Alatas, Bilal, 2019. "A new direction in social network analysis: Online social network analysis problems and applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    13. Song, Malin & Fisher, Ron & Kwoh, Yusen, 2019. "Technological challenges of green innovation and sustainable resource management with large scale data," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 361-368.
    14. Dorota Kamrowska-Zaluska & Hanna Obracht-Prondzyńska, 2018. "The Use of Big Data in Regenerative Planning," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    15. Xiaorong Jiang & Wei Wei & Shenglan Wang & Tao Zhang & Chengpeng Lu, 2021. "Effects of COVID-19 on Urban Population Flow in China," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    16. Ruoxin Zhu & Diao Lin & Yujing Wang & Michael Jendryke & Rui Xin & Jian Yang & Jianzhong Guo & Liqiu Meng, 2020. "Social Sensing of the Imbalance of Urban and Regional Development in China Through the Population Migration Network around Spring Festival," Sustainability, MDPI, vol. 12(8), pages 1-21, April.

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