This project collects real network datasets used in published papers in the field of complex networks, and provides a simple Python code script to construct the network topology corresponding to each data. In the future, the project will continue to be updated and the number of datasets will gradually increase.
由于无法上传单个大于25M的文件，因此我们仅仅上传了部分网络数据集，并给出了所有网络的下载链接。
（Since it is not possible to upload a single file larger than 25M, we have only uploaded part of the network datasets and provided download links for all networks.）
1、Real network datasets in Network Science Books: A.-L. Barabasi, Network Science. Cambridge University Press, 2016.
Download links for the ten datasets: http://networksciencebook.com/translations/en/resources/data.html
2、Fujiki Y, Yakubo K. Identification of intrinsic long-range degree correlations in complex networks[J]. Physical Review E, 2020, 101(3): 032308. https://doi.org/10.1103/PhysRevE.101.032308
Gnutella 10876 http://snap.stanford.edu/data/p2p-Gnutella04.html
Internet (AS level)(1) 10515 http://cosinproject.eu/extra/data/internet/AS-20010316.graph
Internet (AS level)(2) 26475 http://konect.cc/networks/as-caida20071105/
Internet (AS level)(3) 22963 http://www-personal.umich.edu/~mejn/netdata/
Google+ 23628 http://konect.cc/networks/ego-gplus/
Email 36692 http://snap.stanford.edu/data/email-Enron.html
WWW(1) 415624 http://konect.cc/networks/zhishi-baidu-relatedpages/ (The data in Table 2 of the article is not found. Here is a similar data "zhishi-baidu-relatedpages".)
Brightkite 58228 http://konect.cc/networks/loc-brightkite_edges/
Facebook 63731 http://konect.cc/networks/facebook-wosn-links/
Coauthor (1) 18771 http://konect.cc/networks/ca-AstroPh/
YouTube 1134890 http://konect.cc/networks/com-youtube/
Coauthor (2) 12006 http://snap.stanford.edu/data/ca-HepPh.html
Actor 82583 http://cosinproject.eu/extra/data/actors/imdb.html (The raw data is not accessible, and the corresponding actor network data from the Barabasi Network Science book is used here)
Coauthor (3) 23133 http://snap.stanford.edu/data/ca-CondMat.html
Twitter 23370 http://konect.cc/networks/ego-twitter/
WWW(2) 325729 http://konect.cc/networks/web-NotreDame/
Internet (router level) 192244 http://math.bu.edu/people/kolaczyk/datasets.html
WWW(3) 255265 https://networkrepository.com/web-Stanford.php (This data could not be found from the URL provided in the article, and we provide another web data)
WWW(4) 685230 http://konect.cc/networks/web-BerkStan/
Protein folding 132167 http://cosinproject.eu/extra/data/folding/
Amazon 334863 http://konect.cc/networks/com-amazon/
3、Han L, Lin Z, Tang M, et al. Impact of contact preference on social contagions on complex networks[J]. Physical Review E, 2020, 101(4): 042308. https://doi.org/10.1103/PhysRevE.101.042308
Hamsterster friendships http://konect.cc/networks/petster-friendships-hamster/
U. Rovira i Virgili http://konect.cc/networks/arenas-email/
4、Sun J, Medo M, Staab S. Time-invariant degree growth in preferential attachment network models[J]. Physical Review E, 2020, 101(2): 022309. https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.022309
American Physical Society (APS) citation network：https://journals.aps.org/datasets （这个数据集需要给APS官方发邮件获取，邮件地址为：data-requests@aps.org。笔者之前获取了一份，数据文件400多M，无法在这里上传，需要的可以留言）
DBLP (digital bibliography & library project) data：https://www.aminer.cn/citation
5、Chen D, Su H, Wang X, et al. Finite-size scaling of geometric renormalization flows in complex networks[J]. Physical Review E, 2021, 104(3): 034304. https://journals.aps.org/pre/abstract/10.1103/PhysRevE.104.034304
Gnutella：http://snap.stanford.edu/data/
AS：http://snap.stanford.edu/data/as.html
CAIDA：http://snap.stanford.edu/data/as-caida.html
Cond-Mat：http://www-personal.umich.edu/~mejn/netdata/
Socfb：https://networkrepository.com/socfb
IG5、TF、Rajat、Cage、Maragal：https://networkrepository.com/misc.php
6、Chen D, Cai D, Su H. Scaling properties of scale-free networks in degree-thresholding renormalization flows[J]. IEEE Transactions on Network Science and Engineering, 2023. DOI: 10.1109/TNSE.2023.3266381. https://ieeexplore.ieee.org/abstract/document/10100895
数据地址见我们的代码仓库：https://github.com/cdzqf/DTR
7、Chen D, Su H. Identification of influential nodes in complex networks with degree and average neighbor degree[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023. DOI: 10.1109/JETCAS.2023.3283680. https://ieeexplore.ieee.org/abstract/document/10145778
数据地址见我们的代码仓库：https://github.com/cdzqf/identifying_important_nodes
8、George T. Cantwell, Alec Kirkley, Filippo Radicchi. Heterogeneous message passing for heterogeneous networks. Phys. Rev. E 108, 034310 (2023).
9、Real-world directed networks: Kirkley A. Identifying hubs in directed networks. Physical Review E, 2024, 109(3): 034310.
Sources of datasets: https://networks.skewed.de/.