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Goal
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emm_random is a program written in python which implement the
Edge-Markovian Evolving Graph Model.

See the following articles for more information:

- Andrea Clementi, Pierluigi Crescenzi, Carola Doerr, Pierre
  Fraigniaud, Marco Isopi, Alessandro Panconesi, Francesco Pasquale,
  Riccardo Silvestri. Rumor Spreading in Random Evolving
  Graphs. Proceedings of ESA 2013, Lecture Notes in Computer Science
  Volume 8125, pp 325-336, 2013.

- Aurélie Faure de Pebeyre, Fabien Tarissan et Julien Sopena. On the
  relevance of the edge-Markovian evolving graph model for real mobile
  networks. Proceedings of the IFIP Wireless Days conference 2013, pp
  1-6, 2013.


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parameters
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The script takes 4 parameters: the size (n) of the graph, the
probability (p) of creation of a new links, the probability (d) of
deletion of an existing edge and the number (T) of time steps


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Output
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The program writes on its standard output the 4-upplets describing the
creations and deletions of links in the following format:

t n1 n2 k

where k (string "A" or "S") stand for the kind of event occuring at
time t between n1 and n2:
A = added at time t
S = removed at time t