Abstract
Nowadays, every facet of people’s lifestyle is impacted by the continuous use of technologies and in particular the Internet. Social interactions have been radically changed since new technologies have removed communication barriers. The obstacles of time and space have been overcome, letting people from different places and cultures communicate. People tend to become part of a dense social network, where the distribution of information becomes an almost immediate process. This is the reason why companies, public institutions and business activities have opted for social networks as communication medium. As a consequence, people seem to incorporate information gained from the social networks into their decision-making processes.
In this paper we analyze how what is said in the social network could influence people’s decisions. As social network, we consider YELP community, that is a user generated content platform based on ‘word of mouth’, in which users can share their opinions about news, product, community, businesses. We propose a methodology for reviews analysis with the aim to compute business attractiveness, combining user’s sentiment and business reputation.
Our results show that reviews analysis should be performed because it may provide useful information to monitor how business public opinion changes over time.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bai, T., Zhao, W.X., He, Y., Nie, J.Y., Wen, J.R.: Characterizing and predicting early reviewers for effective product marketing on e-commerce websites. IEEE Trans. Knowl. Data Eng. 30(12), 2271–2284 (2018)
Corstjens, M., Umblijs, A.: The power of evil. J. Advertising Res. 52(4), 433–449 (2012)
Gunelius, S.: 30-Minute Social Media Marketing: Step-by-step Techniques to Spread the Word About Your Business: Social Media Marketing in 30 Minutes a Day. McGraw Hill Professional, New York (2010)
Kaplan, A.M., Haenlein, M.: Users of the world, unite! the challenges and opportunities of social media. Bus. Horiz. 53(1), 59–68 (2010)
Li, Q., Chen, Y., Wang, J., Chen, Y., Chen, H.: Web media and stock markets: a survey and future directions from a big data perspective. IEEE Trans. Knowl. Data Eng. 30(2), 381–399 (2017)
Rogers, E.M.: Diffusion of Innovations. Simon and Schuster, New York (2010)
Shayaa, S., et al.: Sentiment analysis of big data: methods, applications, and open challenges. IEEE Access 6, 37807–37827 (2018)
Tuten, T.L.: Advertising 2.0: Social Media Marketing in a Web 2.0 World: Social Media Marketing in a Web 2.0 World. ABC-CLIO (2008)
Valkanas, G., Lappas, T., Gunopulos, D.: Mining competitors from large unstructured datasets. IEEE Trans. Knowl. Data Eng. 29(9), 1971–1984 (2017)
Wang, C.Y., Chen, Y., Liu, K.R.: Game-theoretic cross social media analytic: how yelp ratings affect deal selection on groupon? IEEE Trans. Knowl. Data Eng. 30(5), 908–921 (2017)
Weimann, G.: The Influentials: People Who Influence People. SUNY Press, New York (1994)
Xuan, Q., et al.: Modern food foraging patterns: geography and cuisine choices of restaurant patrons on yelp. IEEE Trans. Comput. Soc. Syst. 5(2), 508–517 (2018)
Zhao, G., Lei, X., Qian, X., Mei, T.: Exploring users’ internal influence from reviews for social recommendation. IEEE Trans. Multimedia 21(3), 771–781 (2018)
Acknowledgment
This work is part of the Synergy-net: Research and Digital Solutions against Cancer project (funded in the framework of the POR Campania FESR 2014–2020).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Galli, A., Gravina, M., Moscato, V., Picariello, A., Sansone, C., Sperlí, G. (2019). A Business Reputation Methodology Using Social Network Analysis. In: Esposito, C., Hong, J., Choo, KK. (eds) Pervasive Systems, Algorithms and Networks. I-SPAN 2019. Communications in Computer and Information Science, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-30143-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-30143-9_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30142-2
Online ISBN: 978-3-030-30143-9
eBook Packages: Computer ScienceComputer Science (R0)