Measuring the Mobile App Market: A Complex Network Approach

[1]  Björn Kijl,et al.  A Comparison of Inter-Organizational Business Models of Mobile App Stores: There is more than Open vs. Closed , 2011, J. Theor. Appl. Electron. Commer. Res..

[2]  Faheem Ahmed,et al.  An Assessment of Mobile OS-Centric Ecosystems , 2011, J. Theor. Appl. Electron. Commer. Res..

[3]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Adrian Holzer,et al.  Mobile application market: A developer's perspective , 2011, Telematics Informatics.

[5]  P. Erdos,et al.  On the strength of connectedness of a random graph , 1964 .

[6]  Anatol Rapoport,et al.  Spread of information through a population with socio-structural bias: III. Suggested experimental procedures , 1954 .

[7]  Olaf Sporns,et al.  Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.

[8]  Niels Henze,et al.  My App is an Experiment: Experience from User Studies in Mobile App Stores , 2011, Int. J. Mob. Hum. Comput. Interact..

[9]  O. Shanker.  Complex network dimension and path counts , 2010, Theor. Comput. Sci..

[10]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[11]  A. Rapoport.  Contribution to the theory of random and biased nets , 1957 .

[12]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[13]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[14]  Paul J. Flory,et al.  Molecular Size Distribution in Three Dimensional Polymers. I. Gelation1 , 1941 .

[15]  A. Rapoport.  NETS WITH DISTANCE BIAS , 1951 .