Skip to main content
Log in

Multiple categorizations of products: cognitive modeling of customers through social media data mining

  • Original Article
  • Published:
Personal and Ubiquitous Computing Aims and scope Submit manuscript

Abstract

As various forms of social media are spreading, we often witness that an idea of an individual user drives macroscopic changes. From the perspectives of product development and marketing, the opinions left by potential consumers in online social network can generate big ripple effects. This study analyzes the user opinions in online space to grasp preferences toward various products psychologically categorized by users. We also suggest an aspect of the market mentally configured by users using network modeling while following the framework of economic sociology. Existing analyses on online market place are mainly dealing with structural issues such as inter-actor relationships and status measurement. This study, however, analyzes complex preferences regarding diverse products and brands and derives a new model for inter-market connections. We expect that our study will provide important consequences on digital marketing and community design of corporations planning word of mouth effect in online space.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

Notes

  1. The number of blog postings is still increasing in Korea. The reason for the decrease in the number of input blog postings in 2012 is due to the strict spam filtering.

References

  1. Baker WE (1990) Market networks and corporate behavior. Am J Sociol 96:589–625

    Article  Google Scholar 

  2. Baker WE (2000) Networking smart: how to build relationships for personal and organizational success. iUniverse, Lincoln

    Google Scholar 

  3. Blau PM (1982) Structural sociology and network analysis. In: Marsden P, Li N (eds) Social structure and network analysis. Sage, Beverly HIlls, CA, pp 273–279

  4. Brynjolfssohn E, Alstyne MV (2004) Global village or cyber-balkan? Modeling and measuring the integration of electronic communities. Manage Sci 51(6):851–868

    Google Scholar 

  5. Burt R, Carlton DS (1989) Another look at the boundaries of American markets. Am J Sociol 95(3):723–753

    Article  Google Scholar 

  6. Casciaro T (1998) Seeing things clearly: social structure, personality, and accuracy in social network perception. Soc Netw 20(4):331–351

    Article  Google Scholar 

  7. Chen Y, Xie J (2013) Online consumer review: word-of-mouth as a new element of marketing communication mix. Manage Sci 54(3):477–491

    Article  Google Scholar 

  8. Chevalier J, Mayzlin D (2006) The effect of word of mouth on sales: online book reviews. J Mark Res 43(3):345–354

    Google Scholar 

  9. Coleman JS (1984) Introducing social structure into the economic analysis. Am Econ Rev 74(2):84–88

    Google Scholar 

  10. Davenport TH, Beck JC (2001) Attention economy: understanding the new currency of business. Harvard Business School Press, Boston

    Google Scholar 

  11. Davis GF (1991) Agents without principles? The spread of the poison pill through the intercorporate network. Adm Sci Q 36(4):583–613

    Article  Google Scholar 

  12. Dellarocas C (2003) The digitization of word-of mouth: promise and challenges of online feedback mechanisms. Manage Sci 49(10):1407–1424

    Article  Google Scholar 

  13. DiMaggio P (1992) Nadel’s paradox revisited: relational and cultural aspects of organizational structure. In: Nohria N, Eccles RG (eds) Networks and organizations: structure, form and action. Harvard Business School Press, Boston, MA, pp 118–142

    Google Scholar 

  14. Emirbayer M (1997) Manifesto for a relational sociology. Am J Sociol 103(2):281–317

    Article  Google Scholar 

  15. Fligstein N (1997) Social skill and institutional theory. Am Behav Sci 40(4):397–405

    Article  Google Scholar 

  16. Fontdevila J, Opazo MP, White HC (2011) Order the edge of chaos: meanings from netdom switchings across functional system. Sociol Theory 29(3):178–198

    Article  Google Scholar 

  17. Franke N, Hippel EV, Schreier M (2006) Finding commercially attractive user innovations: a test of lead-user theory. J Prod Innov Manage 23(4):301–315

    Article  Google Scholar 

  18. Fukuyama F (1995) Trust: the social virtues and the creation of prosperity. Free Press, New York

    Google Scholar 

  19. Hsu G, Hannan MT (2005) Identities, genres, and organizational forms. Organ Sci 16(5):474–490

    Article  Google Scholar 

  20. Hsu G, Hannan MT, Koçak Ö (2009) Multiple category memberships in markets: an integrative theory and two empirical tests. Am Sociol Rev 74(1):150–169

    Article  Google Scholar 

  21. Ibarra M, Andrews SB (1993) Power, social influence and sense-making: effects of network centrality and proximity on employee perceptions. Adm Sci Q 38:277–303

    Article  Google Scholar 

  22. Jara AJ, Parra MC, Skarmeta A (2013) Participative marketing: extending social media marketing through the identification and interaction capabilities from the internet of things. Pers Ubiquit Comput. doi:10.1007/s00779-013-0714-7

  23. Kahnemann D, Tversky A (1979) Prospect theory: an analysis of decision in the risk. Econometrica 47(2):263–292

    Article  Google Scholar 

  24. Kalatzis N, Niampotis N, Roussaki I, Kosmides P, Papaioannou I, Xynogalas S, Zhang D, Anagnostou M (2013) Cross-community context management in cooperating smart spaces. Pers Ubiquit Comput. doi:10.1007/s00779-013-0654-2

  25. Kim H, Kankanhalli A (2009) Investigating user resistance to information systems implementation: a status quo bias perspective. MIS Q 33(3):567–582

    Google Scholar 

  26. Kemper T, Collins R (1990) Dimensions of microinteraction. Am J Sociol 96(1):32–68

    Article  Google Scholar 

  27. Kennedy MT, Lo J, Lounsbury M (2011) Category currency: the changing value of conformity as a function of ongoing meaning construction. In: Hsu G, Negro G, Koçak Ö (eds) Research in the sociology of organizations, vol 31. Emerald books, Bingley, UK, pp 369–397

  28. Koroleva K (2012) The role of social network sites in creating information value and social capital. Ph.D. thesis, The Humboldt University of Berlin

  29. Kurkovsky S, Haihar K (2006) Using ubiquitous computing in interactive mobile marketing. Pers Ubiquit Comput 10(4):227–240

    Article  Google Scholar 

  30. Lampe C, Vitak J, Gray R, Ellison N (2012) Perception of Facebook’s value as an information source. In: Proceedings of the SIGCHI conference on human factors in computing systems. CHI’12. New York, pp 3195–3204

  31. Li X, Hitt M (2010) Price effects in online product reviews: an analytical model and empirical analysis. MIS Q 34(4):809–832

    Google Scholar 

  32. Lichtentaler U, Lichtentaler E (2009) A capability based framework for open innovation: complementing absorptive capacity. J Manage Stud 46(3):1315–1318

    Article  Google Scholar 

  33. Mangold WG, Faulds DJ (2009) Social media: the new hybrid element of the promotion mix. Bus Horiz 52(4):357–365

    Article  Google Scholar 

  34. Moe W, Schweidel D (2010) Online product opinions: incidence, evaluation and evolution. MSI special report 10-204

  35. Navis C, Glynn MA (2010) How new market categories emerge: temporal dynamics of legitimacy, identity and entrepreneurship in satellite radio. Adm Sci Q 55(3):349–471

    Google Scholar 

  36. Nielson (2012) Social media user study report: who are social media users in china? Technical report

  37. Nitzan I, Libai B (2010) Social effect on customer retention. MSI Working Paper Series 10–107

  38. Oh W, Okoli C (2007) Investigating recognition based performance in and open content community: a social capital perspective. Inf Manage 44(3):240–252

    Article  Google Scholar 

  39. OHern M, Rindfleisch A, Antia K, Schweidel D (2011) The impact of user generated content on product innovation. Working paper in SSRN

  40. Pallis D, Zeinalipour M, Dikaiakos D (2011) Online social networks: status and trends. In: Jain L, Vakali A (eds) Web data management trails. Springer, Berlin

    Google Scholar 

  41. Pew Internet: Why most Facebook users get more than they give: the effect of Facebook ‘power users’ on everybody else (2012). http://pewinternet.org/Reports/2012/Facebook-users.aspx

  42. Podolny J (1997) A status based model of market competition. Am J Sociol 98:829–872

    Article  Google Scholar 

  43. Rao H, Monin P, Durand R (2005) Border crossing: bricolage and the erosion of categorical boundaries in french gastronomy. Am Sociol Rev 70:968–991

    Article  Google Scholar 

  44. Shmueli G, Patel NR, Bruce PC (2010) Data mining for business intelligence. Wiley, Hoboken

    Google Scholar 

  45. Smith-Doerr WWPL (1994) Networks and economic life. In: Smelser NJ, Swedberg R (eds) The handbook of economic sociology. Princeton University Press, Princeton, NJ, pp 368–402

    Google Scholar 

  46. Soh C, Markus ML, Goh KH (2006) Electronic marketplace and price transparency: strategy, information technology and success. MIS Q 30(3):705–724

    Google Scholar 

  47. Song G, Cheon Y, Lee K, Park K, Rim H (2013) Inter-categorization map: building cognition network of general customers through big data mining. In: Proceedings of the 8th Asia pacific international conference on information science and technology (APIC-IST). Jeju, Republic of Korea

  48. Sprake J, Rogers P (2013) Crowds, citizens and sensors : process and practice for mobilizing learning. Pers Ubiquit Comput. doi:10.1007/s00779-013-0715-6

  49. Susarla A, Oh JH, Tan Y (2012) Social networks and the diffusion of user-generated content: evidence from you-tube. Inf Syst Res 23(1):23–41

    Article  Google Scholar 

  50. Tan PN, Steinbach M, Kumar V (2005) Introduction to data mining. Addison-Wesley, Boston

    Google Scholar 

  51. Urban G, Hippel EV (1988) Lead user analysis for the development of new industrial products. Manage Sci 34(5):569–582

    Article  Google Scholar 

  52. Uzzi B (1996) The sources and consequences of embeddedness for the economic performance of organizations: the network effect. Am Sociol Rev 61:674–698

    Article  Google Scholar 

  53. Vanhaverbeke W, de Vrande VV, Cloodt M (2008) Connecting absorptive capacity and open innovation. Working paper in SSRN

  54. Wang Z, Zhou X, Zhang D, Yang D, Yu Z (2013) Cross-domain community detection in heterogeneous social networks. Pers Ubiquit Comput. doi:10.1007/s00779-013-0656-0

  55. West J, Gallagher S (2006) Challenges of open innovation: the paradox of firm investment in open source software. R&D Manag 36(3):319–331

    Article  Google Scholar 

  56. White H (2008) Identity and control: how social formation emerge. Princeton University Press, Princeton, NJ

    Google Scholar 

  57. Witten I, Frank E, Hall M (2011) Data mining: practical machine learning tools and techniques. Elsevier, Amsterdam

    Google Scholar 

  58. Yardi S, Golder SA, Brzozowski MJ (2009) Blogging at work and the corporate attention economy. In: Proceedings of the SIGCHI conference on human factors in computing systems. CHI’09, pp 2071–2080

  59. Zuckerman EW (1999) The categorical imperative: securities analysts and the illegitimacy discount. A J Sociol 104:1398–1438

    Article  Google Scholar 

Download references

Acknowledgments

Authors wish to acknowledge the assistances of Juyoung Kim and Hee Sang Lee at Daumsoft Inc. for data analysis.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hae-Chang Rim.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Song, GY., Cheon, Y., Lee, K. et al. Multiple categorizations of products: cognitive modeling of customers through social media data mining. Pers Ubiquit Comput 18, 1387–1403 (2014). https://doi.org/10.1007/s00779-013-0740-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00779-013-0740-5

Keywords

Navigation