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2022 | OriginalPaper | Buchkapitel

Social Network Analysis

verfasst von : Hans Risselada, Jeroen van den Ochtend

Erschienen in: Handbook of Market Research

Verlag: Springer International Publishing

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Abstract

The increased awareness about the presence of social effects in consumer networks has inspired marketers to better understand and address the needs of their consumers through network analyses. In this chapter we consider network analyses as a set of techniques which allows researchers to analyze how the social structure of relationships around consumers affects their attitudes and behavior, and vice versa, how attitudes and behavior may affect the social structure. We focus on the types of network analyses that are currently most prominent within the field of marketing. We provide basic network theory and notation with references to key publications in the field. We also provide suggestions for software (packages) and useful functions including code snippets to support researchers and practitioners in setting up their first social network analyses. At the end of the chapter we discuss several more advanced network analysis methods and list several resources that might be useful to the interested reader.

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Vorheriges Kapitel Image Analytics in Marketing

Nächstes Kapitel Bayesian Models

Ansari, A., Koenigsberg, O., & Stahl, F. (2011). Modeling multiple relationships in social networks. Journal of Marketing Research, 48(4), 713–728.CrossRef

Aral, S., & Nicolaides, C. (2017). Exercise contagion in a global social network. Nature Communications, 8(1), 1–8.CrossRef

Aral, S., & Walker, D. (2014). Tie strength, embeddedness, and social influence: A large-scale networked experiment. Management Science, 60(6), 1352–1370.CrossRef

Aral, S., Muchnik, L., & Sundararajan, A. (2009). Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. Proceedings of the National Academy of Sciences, 106(51), 21544–21549.CrossRef

Barabási, A. L., & Bonabeau, E. (2003). Scale-free networks. Scientific American, 288(5), 60–69.CrossRef

Bell, D. R., & Song, S. (2007). Neighborhood effects and trial on the internet: Evidence from online grocery retailing. Quantitative Marketing and Economics, 5(4), 361–400.CrossRef

Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026.CrossRef

Broido, A. D., & Clauset, A. (2019). Scale-free networks are rare. Nature Communications, 10(1), 1–10.CrossRef

Burnkrant, R. E., & Cousineau, A. (1975). Informational and normative social influence in buyer behavior. Journal of Consumer Research, 2(3), 206–215.CrossRef

Burt, R. S. (2004). Structural holes and good ideas. American Journal of Sociology, 110(2), 349–399.CrossRef

Choi, J., Hui, S. K., & Bell, D. R. (2010). Spatiotemporal analysis of imitation behavior across new buyers at an online grocery retailer. Journal of Marketing Research, 47(1), 75–89.CrossRef

Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems, 1695(5), 1–9.

Davin, J. P., Gupta, S., & Piskorski, M. J. (2013). Separating homophily and peer influence with latent space. Available at SSRN 2373273.

Dowle, M., & Srinivasan, A. (2019). data.table: Extension of `data.frame`. R package version 1.12.6. https://CRAN.R-project.org/package=data.table

Eagle, N., Pentland, A. S., & Lazer, D. (2009). Inferring friendship network structure by using mobile phone data. Proceedings of the National Academy of Sciences, 106(36), 15274–15278.CrossRef

Ebbes, P., Huang, Z., & Rangaswamy, A. (2016). Sampling designs for recovering local and global characteristics of social networks. International Journal of Research in Marketing, 33(3), 578–599.CrossRef

Goel, S., & Goldstein, D. G. (2014). Predicting individual behavior with social networks. Marketing Science, 33(1), 82–93.CrossRef

Goldenberg, J., Han, S., Lehmann, D. R., & Hong, J. W. (2009). The role of hubs in the adoption process. Journal of Marketing, 73(2), 1–13.CrossRef

Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380.

Granovetter, M. (1983). The strength of weak ties: A network theory revisited. Sociological Theory, 1, 201–233.

Haenlein, M. (2013). Social interactions in customer churn decisions: The impact of relationship directionality. International Journal of Research in Marketing, 30(3), 236–248.CrossRef

Haenlein, M., & Libai, B. (2013). Targeting revenue leaders for a new product. Journal of Marketing, 77(3), 65–80.CrossRef

Hahn, M., Park, S., Krishnamurthi, L., & Zoltners, A. A. (1994). Analysis of new product diffusion using a four-segment trial-repeat model. Marketing Science, 13(3), 224–247.CrossRef

Hinz, O., Skiera, B., Barrot, C., & Becker, J. U. (2011). Seeding strategies for viral marketing: An empirical comparison. Journal of Marketing, 75(6), 55–71.CrossRef

Homburg, C., Ehm, L., & Artz, M. (2015). Measuring and managing consumer sentiment in an online community environment. Journal of Marketing Research, 52(5), 629–641.CrossRef

Iyengar, R., Van den Bulte, C., & Valente, T. W. (2011). Rejoinder – Further reflections on studying social influence in new product diffusion. Marketing Science, 30(2), 230–232.CrossRef

Iyengar, R., Van Den Bulte, C., & Lee, J. Y. (2015). Social contagion in new product trial and repeat. Marketing Science, 34(3), 408–429.CrossRef

Jackson, M. O. (2010). Social and economic networks. Princeton: Princeton university press.CrossRef

Kumar, V., Aksoy, L., Donkers, B., Venkatesan, R., Wiesel, T., & Tillmanns, S. (2010). Undervalued or overvalued customers: Capturing total customer engagement value. Journal of Service Research, 13(3), 297–310.CrossRef

Landsman, V., & Nitzan, I. (2020). Cross-decision social effects in product adoption and defection decisions. International Journal of Research in Marketing, 37(2), 213–235.CrossRef

Ma, L., Sun, B., & Kekre, S. (2015). The squeaky wheel gets the grease – An empirical analysis of customer voice and firm intervention on twitter. Marketing Science, 34(5), 627–645.CrossRef

Manski, C. F. (2000). Economic analysis of social interactions. Journal of Economic Perspectives, 14(3), 115–136.CrossRef

McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444.CrossRef

Meyners, J., Barrot, C., Becker, J. U., & Goldenberg, J. (2017). The role of mere closeness: How geographic proximity affects social influence. Journal of Marketing, 81(5), 49–66.CrossRef

Nair, H., Manchanda, P., & Bhatia, T. (2010). Asymmetric social interactions in physician prescription behavior: The role of opinion leaders. Journal of Marketing Research, 47(5), 883–895.CrossRef

Nam, S., Manchanda, P., & Chintagunta, P. K. (2010). The effect of signal quality and contiguous word of mouth on customer acquisition for a video-on-demand service. Marketing Science, 29(4), 690–700.CrossRef

Nielsen. (2015). Global trust in advertising. Available online at http://www.nielsen.com/us/en/insights/reports/2015/global-trust-in-advertising-2015.html. Updated on 09-28-2015, checked on 5/3/2017.

Nitzan, I., & Libai, B. (2011). Social effects on customer retention. Journal of Marketing, 75(6), 24–38.CrossRef

Onnela, J.-P., Saramäki, J., Hyvönen, J., Szabó, G., Lazer, D., Kaski, K., et al. (2007). Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences, 104(18), 7332–7336.CrossRef

Park, E., Rishika, R., Janakiraman, R., Houston, M. B., & Yoo, B. (2018). Social dollars in online communities: The effect of product, user, and network characteristics. Journal of Marketing, 82(1), 93–114.CrossRef

Peres, R., Muller, E., & Mahajan, V. (2010). Innovation diffusion and new product growth models: A critical review and research directions. International Journal of Research in Marketing, 27(2), 91–106.CrossRef

R Core Team. (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org/

Reingen, P. H., & Kernan, J. B. (1986). Analysis of referral networks in marketing: Methods and illustration. Journal of Marketing Research, 23(4), 370–378.CrossRef

Risselada, H., Verhoef, P. C., & Bijmolt, T. H. A. (2014). Dynamic effects of social influence and direct marketing on the adoption of high-technology products. Journal of Marketing, 78(2), 52–68.

Shalizi, C. R., & Thomas, A. C. (2011). Homophily and contagion are generically confounded in observational social network studies. Sociological Methods & Research, 40(2), 211–239.CrossRef

Snijders, T. A. B., van de Bunt, G. G., & Steglich, C. E. G. (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32(1), 44–60.CrossRef

Trusov, M., Bucklin, R. E., & Pauwels, K. H. (2009). Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site. Journal of Marketing, 73(5), 90–102.CrossRef

Trusov, M., Bodapati, A. V., & Bucklin, R. E. (2010). Determining influential users in internet social networks. Journal of Marketing Research, 47(4), 643–658.CrossRef

Valente, T. W. (2012). Network interventions. Science, 337(6090), 49–53.CrossRef

Valsesia, F., Proserpio, D., & Nunes, J. C. (2020). The positive effect of not following others on social media. Journal of Marketing Research. forthcoming.

Van den Bulte, C., & Lilien, G. L. (2001). Medical innovation revisited: Social contagion versus marketing effort. American Journal of Sociology, 106(5), 1409–1435.CrossRef

Wilhelm, S., & de Matos, M. G. (2015). spatialprobit: Spatial Probit Models. R package version 0.9–11. https://CRAN.R-project.org/package=spatialprobit.

Wuyts, S. H. K., Dekimpe, M. G., Gijsbrechts, E., & Pieters, F. G. M. R. (2011). The connected customer: The changing nature of consumer and business markets. Routledge.

Zhang, Y., & Godes, D. (2018). Learning from online social ties. Marketing Science, 37(3), 425–444.CrossRef

Zhang, J., Liu, Y., & Chen, Y. (2015). Social learning in networks of friends versus strangers. Marketing Science, 34(4), 573–589.CrossRef

Titel: Social Network Analysis
verfasst von: Hans Risselada
Jeroen van den Ochtend
Verlag: Springer International Publishing
Buch: Handbook of Market Research
Print ISBN: 978-3-319-57411-0

Electronic ISBN: 978-3-319-57413-4

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-319-57413-4_27