Missing datasets for community detection in temporal networks
I'm working on a paper about community detection in temporal networks, and I've got a problem in finding the exact datasets that has been mentioned in the paper. The paper name and the dataset names are as follows:
Paper name:
"A fast algorithm for community detection in temporal network"
Dataset names:
1) ArXiv hep-ph network [23] is an author collaboration network from the arXiv High Energy Physics-Phenomenology (hep- ph) section. An edge between two authors represents a common publication. Timestamp denotes the date of a publication. The network has 28,093 nodes and 4,596,803 edges, spanning from year 1992 to 2002.
2) Facebook network [24] contains friendship data of users. A node represents a user and an edge represents a friendship between two users. The network has 63,731 nodes and 817,035 edges, spanning from year 1970 to 2009.
3) Enron email network [25] consists of 1,148,072 emails between 1999 and 2003. Nodes in the network are employees and edges are emails. It is possible to send an email to oneself, and thus this network contains self-loops.
4) Wikipedia conflict network [26] has 118,100 nodes and 2,917,785 edges, spanning from year 2001 to 2009. A node represents a user and an edge represents a conflict between two users, with the edge sign representing a positive or negative interaction.
[23] J. Leskovec, J. Kleinberg, C. Faloutsos, Graph evolution: densification and shrinking diameters, ACM Trans. Knowl. Discov. Data (TKDD) 1 (1) (2007) 2.
[24] B. Viswanath, A. Mislove, M. Cha, KP Gummadi, On the evolution of user interaction in facebook, in: Proceedings of the 2nd ACM Workshop on Online Social Networks, ACM, 2009, pp. 37–42.
[25] B. Klimt, Y. Yang, The enron corpus: a new dataset for email classification research, in: Machine Learning: ECML 2004, Springer, 2004, pp. 217–226.
[26] U. Brandes, J. Lerner, Structural similarity: spectral methods for relaxed blockmodeling, J. Classif. 27 (3) (2010) 279–306.
The thing is that I can find some similar datasets, but they're not exactly as mentioned above! and it seems that they're not temporal but static networks!
I appreciate any comments in advance ...
Fortunately I found all of those datasets! and the links are as follows:
1) ArXiv hep-ph network
2) Facebook network
3) Enron email network
4) Wikipedia conflict network
[1]: http://konect.uni-koblenz.de/networks/ca-cit-HepPh
[2]: http://konect.uni-koblenz.de/networks/facebook-wosn-links
[3]: http://konect.uni-koblenz.de/networks/enron
[4]: http://konect.uni-koblenz.de/networks/wikiconflict
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