最近一直在做一個關於複雜網絡的課題，對於設計的算法的全面性和測試集的選擇都有些疑惑，在網上找到了這樣一篇帖子，感覺資源比較豐富，這裏分享給大家，希望對研究這方面的孩紙有幫助。下面內容均不是本人所寫，非常感謝這位朋友，原文網址爲：http://bbs.sciencenet.cn/blog-446455-345373.html
【根據反饋 已經更新，謝謝大家。資源共享，共同進步。】
從我網頁上截取的，和大家分享一些研究資料。。感興趣的可以下載或者問我要（最好用英文，因爲實驗室的機子話不能看中文，非常抱歉）, 程序的話，不能保證給你的是對的或者不是最後的version，呵呵 有的時間久遠，只能做參考用，並且我寫的程序一般很土，非專業人士，望見諒。。。
下面有很多話以及名字啥的都是重複的，只是爲了增加google搜索時的相關性，也非常抱歉。。
小弟只是爲了增加這一塊和國內的交流，別無他意。。
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 ( [email protected] ). 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 ( [email protected] ), 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 ( [email protected] ).
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.