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Textbooks
The course will rely on a variety of
recent research papers. We will rely a lot on the
following textbooks.
Related textbooks and notes
Papers
A collection of related papers
- M.
E. J. Newman, The
structure and function of complex networks, SIAM
Reviews, 45(2): 167-256, 2003
- M.
E. J. Newman, Power
laws, Pareto distributions and Zipf's law, Contemporary
Physics.
-
Bollobas, Mathematical
Results in Scale-Free random Graphs.
- D.J.
Watts. Networks,
Dynamics and Small-World Phenomenon, American
Journal of Sociology, Vol. 105, Number 2, 493-527,
1999
- Watts,
D. J. and S. H. Strogatz.
Collective dynamics of
'small-world' networks. Nature
393:440-42, 1998
- Michael
T. Gastner and M. E. J.
Newman, Optimal
design of spatial distribution networks, Phys.
Rev. E 74, 016117 (2006).
- L.
Mislove, M. Marcon, P. K. Gummadi, P. Druschel, B. Bhattacharjee Measurement
and analysis of online social networks.
Internet Measurement Conference 2007: 29-42
- H.
Kwak, C. Lee, H. Park,
S. B. Moon. What
is Twitter, a social network or a news media?
WWW 2010: 591-600
- J.
M. Pujol, V. Erramilli, G. Siganos, X. Yang, N. Laoutaris, P. Chhabra, P.
Rodriguez. The
little engine(s) that could: scaling online social
networks. SIGCOMM 2010: 375-386
- G.
Malewicz, M. H. Austern, A. J. C. Bik, J. C.
Dehnert, I. Horn, N. Leiser and G. Czajkowski. Pregel: a system for
large-scale graph processing. SIGMOD
Conference 2010: 135-146
- MapReduce: Simplified Data
Processing on Large Clusters. OSDI 2004:
137-150
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