Abstract
In the previous chapters, we articulated the role of evolutionary processes on Wikipedia and similar social media production sites and then outlined the main reasoning behind using entropy as a measure of structuration. The main claim is that, just like many of self-organizing voluntary organizations, online social groups need to overcome the increasing costs of communication and coordination as they continue to grow and evolve, which they do via the emergence of leading contributors who work substantially more than their peers. In this chapter, we will look at the contours of leadership groups and at their temporal persistence, or stickiness, the latter of which we will assess via their turnover. We will further analyze the relationship between the evolution of group structuration (entropy) and elite stickiness in order to elucidate the role of elites in relation to the larger organization. Finally, we will examine the factors that explain how individuals advance to elite status, thereby adding a microlevel perspective to the meso- and macro-level dynamics under study.
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Notes
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For the sake of simplicity, only the intercept terms are provided in Table 5.1. The complete regression model including all intercept, slope, and quadratic terms is provided in Appendix A. Likewise, in Chap. 9, we identify several other breakpoints denoting significant transition points in the evolution of the project. These emerged from analyzing four other dimensions of collaboration that are not discussed in this chapter. Again, a full description of the significance of all breakpoints is provided in Appendix A.
References
Adler BT, de Alfaro L, Pye I, Raman V (2008) Measuring author contributions to the Wikipedia. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.141.1107&rep=rep1&type=pdf. Accessed 8 Feb 2017
Britt BC (2011) System-level motivating factors for collaboration on Wikipedia: a longitudinal network analysis. Thesis, Purdue University
Britt BC (2013) Evolution and revolution of organizational configurations on Wikipedia: a longitudinal network analysis. Dissertation, Purdue University
Clauset A, Shalizi CR, Newman MEJ (2009) Power-law distributions in empirical data. SIAM Rev 51:661–703
Crawley MJ (2007) The R book. Wiley, West Sussex
Isard W (1954) Location theory and trade theory: short-run analysis. Q J Econ 68:305–322
Isard W (1975) A simple rationale for gravity model type behavior. Pap Reg Sci 35(1):25–30
Kriplean T, Beschastnikh I, McDonald DW, Golder SA (2007) Community, consensus, coercion, control: cs* w or how policy mediates mass participation. In: Proceedings of the 2007 international ACM conference on Supporting group work, p 167–176
Kriplean T, Beschastnikh I, McDonald DW (2008) Articulations of Wikiwork: uncovering valued work in Wikipedia through Barnstars. In: Proceedings of the 2008 ACM conference on computer supported cooperative work. ACM, New York, pp 47–56
Matei SA, Bertino E, Zhu M, Liu C, Si L, Britt BC (2015) A research agenda for the study of entropic social structural evolution, functional roles, adhocratic leadership styles, and credibility in online organizations and knowledge markets. In: Bertino E, Matei SA (eds) Roles, trust, and reputation in social media knowledge markets: theory and methods. Springer, New York, pp 3–33
Shannon CE, Weaver W (1948) The mathematical theory of communication. University of Illinois Press, Urbana
Shumway RH, Stoffer DS (2010) Time series analysis and its applications: with R examples, 3rd edn. Springer, New York
Wenger E (1998) Communities of practice: learning, meaning, and identity. Cambridge University Press, Cambridge
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Matei, S.A., Britt, B.C. (2017). Analytic Investigation of a Structural Differentiation Model for Social Media Production Groups. In: Structural Differentiation in Social Media. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-64425-7_5
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