References


[1]	Albert, R., Jeong, H. & Barabási, A.-L. (1999). Diameter of the World-Wide Web. Nature 401 (6749), 130-131.

[2]	Albert, R. & Barabási, A.-L. (2002). Statistical mechanics of complex networks. Review of Modern Physics 74 (1), 47-97.

[3]	Baek, S., Kim, K. & Altmann, J. (2014). Role of Platform Providers in Service Networks: The Case of Salesforce.com AppExchange. Proceedings of the 16th IEEE Conference on Business Informatics (CBI 2014).

[4]	Barabási, A.-L. (2009). Scale-free networks: A decade and beyond. Science 325 (5939), 412-413.

[5]	Basole, R.C. & Karla, J. (2011). On the evolution of mobile platform ecosystem structure and strategy. Business & Information Systems Engineering 3 (5), 313-322.

[6]	Bass, F.M. (1969). A new product growth for model consumer durables. Management Science 15 (5), 215-227.

[7]	Burt, R.S. (1992). Structural Holes: The Social Structure on Competition. Harvard Univ. Press, MA.

[8]	Campbell-Kelly, M. (2009). Historical reflections: The rise, fall, and resurrection of software as a service. Communications of the ACM 52 (5), 28-30.

[9]	Chesbrough, H.W. (2003). Open innovation: The new imperative for creating and profiting from technology. Harvard Business School Press, MA.

[10]	Chesbrough, H.W. (2011). The case for open services innovation: The commodity trap. California Management Review 53 (3), 5-20.

[11]	Dojchinovski, M., Kuchar, J., Vitvar, T. & Zaremba, M. (2012) Personalized graph-based selection of Web APIs. Lecture Notes in Computer Science 7649, 34-48.

[12]	Everard, A. & Henry, R. (2002). A social network analysis of interlocked directorates in electronic commerce firms. Electronic Commerce Research and Applications 1 (2), 225-234.

[13]	Freeman, L.C. (1979). Centrality in social networks: Conceptual clarification. Social Networks 1, 215-239.

[14]	Granovetter, M.S. (1973). The strength of weak ties. American Journal of Sociology 78 (6), 1360-1380.

[15]	Grewal, R., Lilien, G.L. & Mallapragada, G. (2006). Location, location, location: How network embeddedness affects project success in open source systems. Management Science 52 (7), 1043-1056.

[16]	Gloor, P.A., Krauss, J., Nann, S., Fischbach, K. & Schoder, D. (2009). Web science 2.0: Identifying trends through semantic social network analysis. In Proceedings of the 12th CSE, Vancouver, Canada.

[17]	Haines, M.N. & Rothenberger, M.A. (2010). How a service-oriented architecture may change the software development process. Communications of the ACM 53 (8), 135-140.

[18]	Hansen, M.T. (1999). The search-transfer problem: The role of weak ties in sharing knowledge across organization subunits. Administration Science Quarterly 44 (1), 82-111.

[19]	Hargadon, A.B. (2002). Brokering knowledge: Linking, learning and innovation. Research in Organizational Behavior 24, 41-85.

[20]	Huang, K., Fan, Y. & Tan, W. (2012). An empirical study of ProgrammableWeb: A network analysis on a service mashup system. In Proceedings of the 19th ICWS, Honolulu, HI.

[21]	Hwang, J., Altmann, J. & Kim, K. (2009). The structural evolution of the Web2.0 service network. Online Information Review 33 (6), 1040-1067. 

[22]	Jin, J.H., Park, S.C. & Pyon, C.U. (2011). Finding research trend of convergence technology based on Korean R&D network. Expert Systems with Applications 38 (12), 15159-15171.

[23]	Jovanovic, B. & MacDonald, G.M. (1994). The life cycle of a competitive industry. Journal of Political Economy 102 (2), 322-347.

[24]	Kim, K. & Altmann, J. (2013) Evolution of the software-as-a-Service innovation system through collective intelligence. International Journal of Cooperative Information Systems 22, 1340006.

[25]	Kim, K., Hwang, J. & Altmann, J. (2011). Does Web2.0 foster innovation? An analysis of the openness of the Web2.0 service network. In Proceedings of the 44th HICSS, Kauai, HI.

[26]	Kim, K. Altmann, J. & Hwang, J. (2010). The Impact of the Subgroup Structure on the Evolution of Networks: An Economic Model of Network Evolution. Proceedings of the IEEE International Workshop on Network Science for Communication Networks (NetSciCom2010), in conjunction with IEEE Infocom 2010, San Diego, USA.

[27]	Kim K. & Altmann, J. (2011). A Complex Network Analysis of the Weighted Graph of the Web2.0 Service Network," Proceedings of Collective Intelligence 2011 (COLLIN 2011).

[28]	Kim, K., Lee, W.-R. & Altmann, J. (2013). Patterns of Innovation in SaaS Networks: Trend Analysis of Node Centralities. Proceedings of the European Conference of Information Systems (ECIS2013).

[29]	Krackhardt, D. & Stern, R.N. (1980). Informal networks and organizational crises: An experimental simulation. Social Psychology Quarterly 51 (2), 123-140.

[30]	Kuandykov, L. & Sokolov, M. (2010). Impact of social neighbourhood on diffusion of innovation S-curve. Decision Support Systems 48 (4), 531-535.

[31]	Maglio, P.P., Srinivasan, S., Kreulen, J.T. & Spohrer, J. (2006) Service systems, service scientists, SSME, and Innovation. Communications of the ACM 49 (7), 81-85. 

[32]	Lemmens, C.E.A.V. (2004). Innovation in Technology Alliance Networks. Edward Elgar.

[33]	Newman, M.E.J. (2001). Clustering and preferential attachment in growing networks. Physical Review E 64 (2), 025102.

[34]	Ogrinz, M. (2009). Mashup patterns: designs and examples for the modern enterprise. Addison-Wesley.

[35]	O’Reilly, T. (2007). What is Web2.0: design patterns and business models for the next generation of software. Communications and Strategies 65, 17-37.

[36]	Opsahl, T., Agneessens, F. & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks 32 (3), 245-251.

[37]	Papazoglou, M.P. & Georgakopoulos, D. (2003). Introduction: Service-oriented computing. Communications of the ACM 46 (10), 24-28.

[38]	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.

[39]	Rogers, E. (2003). Diffusion of innovation. 5th ed. Free Press, NY.

[40]	Rouse, L.J., Bergeron, S.J. & Harris, T.M. (2007). Participating in the geospatial web: Collaborative mapping, social networks and participatory GIS. In The Geospatial Web: How Geobrowsers, Social Software and the Web2.0 are Shaping the Network Society (Scharl, A. & Tochtermann, K. Ed.), Springer, 153-158.

[41]	Rousch, W. (2005). Killer maps. MIT Technology Review, http://www.technologyreview.com/featuredstory/ 404705/killer-maps/ (Accessed on October 1, 2005). 

[42]	Sasidharan, S., Santhanam, R., Brass, D.J. & Sambamurthy, V. (2011). The effects of social network structure on enterprise systems success: A longitudinal multilevel analysis. Information Systems Research 23 (3-1), 658-678.

[43]	Scott, J. (1991). Social network analysis: A Handbook. Sage Publication, UK.

[44]	Shy, O. (2001). The Economics of Network Industries. Cambridge University Press.

[45]	Tsai, W. (2001). Knowledge transfer in intra-organizational networks: Effects of network position and absorptive capacity on business unit innovation and performance. Academy of Management Journal 44 (5), 996-1004.

[46]	Valverde, S. & Solé, R.V. (2007). Self-organization versus hierarchy in open source social networks. Physical Review E 76 (4), 046118.

[47]	Wagner, C.S., & Leydesdorff, L. (2005). Network structure, self-organization, and the growth of international collaboration in science. Research Policy 34 (10), 1608-1618.

[48]	Watts, D.J. & Strogatz, S.H. (1998). Collective dynamics of ‘Small-World’ networks. Nature 393 (6684), 440-442.

[49]	Weiss, M. & Gangadharan, G.R. (2010). Modeling the mashup ecosystem: Structure and growth, R&D Management 40 (1), 40-49.