A New Model for Growing Social Networks

In this paper a new model for the study of social net- works and their static and dynamic properties is introduced. Using computer simulations, we show that this model can reproduce some characteristics of real social networks such as high levels of clustering, division into communities, and degree distribution.

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

[2]  Mason A. Porter,et al.  Communities in Networks , 2009, ArXiv.

[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]  S. Strogatz Exploring complex networks , 2001, Nature.

[5]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

[6]  A. Barabasi,et al.  Evolution of the social network of scientific collaborations , 2001, cond-mat/0104162.

[7]  M. Kochen,et al.  Contacts and influence , 1978 .

[8]  Fang Wu,et al.  Finding communities in linear time: a physics approach , 2003, ArXiv.

[9]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .