Useful Research Resource

Complex Network Data (Text files, Matlab data, Adjacent matrix):

Celegans_N297.txt, Dolphins_N62.txt, Ecircuits_N512.txt, EColi_N418.txt, Football_N115.txt, karate_N34.txt, Polbooks_N105.txt, power_grid.txt, Internet_data.txt, Netscience_coauthor.txt, HET_coauthor.txt, etc. And some coauthor collaboration network, Power Grid network data, Internet network, Protein interaction network, Language network, BBS data, Email data, WWW, when you need them, please contact Dr. Rui Yang ( ryang8@asu.edu ). You can get them for FREE :) But please cite some of the following papers and give me a THANK YOU letter :)

Spreading dynamics on complex network ( Phys. Lett. A 364, 189 (2007), Phys. Rev. E 78, 066109 (2008), Phys. Rev. E 78, 026111 (2008), Phys. Rev. E 79, 046101 (2009) );

Synchronization on complex network ( Phys. Rev. E 79, 046101 (2009) );

Cascading and traffic dynamics on complex network ( Phys. Rev. E 79, 026112 (2009), Physical Review E (Rapid Communications) 81, 035102 (2010) );

Rock-paper-scissor, Prison Dilemma, Snow Drift, Public Goods Game dynamics on complex network ( Physical Review E (Rapid Communications) , 81 , 030901 (2010); Physical Review E (Rapid Communications) 81, 035102 (2010); CHAOS 20 , 023113 (2010)).

Copyright: Mainly from Prof. Mark Newman (http://www-personal.umich.edu/~mejn/netdata/)

Complex Network C/C++, Matlab Simulation Programs (source code):

For the program codes relevant with previous my papers, if you need them, please also give me a email ( ryang8@asu.edu ), also I can give them to you for FREE, for example, SIS (SIR, contact process) simulation program code on complex network; Eigenvalue (Eigen-ratio) computation program code on complex network; The shortest path (Dijkstra), cascading dynamics, simulation program code on complex network; Rock-paper-scissor, Prison Dilemma, Snow Drift, Public Goods Game dynamics simulation program code on complex network, etc. But when you give me an email, please emphasize which one do you need, or tell me what are you doing, I might basically know which program can provide some help. I am sorry that I CAN NOT give you the whole package of my codes. You might know why I can not :)

Or, anything you need about Complex Network, or Graphene, You can always find some help from Dr. Rui Yang ( ryang8@asu.edu ).

Convert JPEG, BMP, PNG (or any picture format) to EPS format, Plot beautiful 2D or 3D complex network (Pajek) in your paper, or Screenshot:

I know some way (software or some tricks) to do these things, which might be important if you want to publish some papers or do some contributions in this field. Also, contatc Dr. Rui Yang , I will tell you everything about how can I do these thing.

Paper LaTex template and the template of the response to the referee, Justification letter for some journals: APS journals (Phys Rev Lett, Phys Rev E, Phys Rev B), AIP journals (Applied Phys Lett, Chaos), IOP journals (EPL), Elsevier Journals (Phys Lett A, Physica A, EPJB), etc.

Also, I CAN NOT give you the whole package, please emphasize which one do you need.

Some Other Complex Network Resources :

In analyzing large-scale complex networks, it is important to establish a standard dataset from which algorithms and claims be compared and verified. Currently, it is often difficult to track down the original data used for computational experiments. Much of it is floating around in various formats throughout the net, imbedded in papers, and often difficult to get from the authors. Moreover, the datasets are often modified (filtered) by research groups interested in different attributes, so that even when the name and descriptions match a citation in a paper, there is no guarantee that the data is identical.

Complex Networks Package for MatLab ( Lev Muchnik's Page ):

Complex Networks research suffers from lack of efficient, validated and well-implemented tools for network analysis. To resolve this, I have created an expandable framework, operating within MatLab, which provides a convenient environment for import/export, manipulation and analysis of large-scale complex networks. Currently, the toolbox contains dozens of efficiently implemented and thoroughly validated algorithms. Most of these algorithms are implemented as C++ mex-files to achieve maximal performance. All algorithms are well-documented and typical researcher can start using the toolbox within minutes.