Data for: Visualizing Community Structured Complex Networks

Published: 18 November 2020| Version 1 | DOI: 10.17632/5dkvkbfzcs.1
zhenhua huang


The datasets contain many famous complex networks and generated benchmarks, as well as some datasets collected from real-world websites. The Adjnoun Network (adj.gml) is an undirected network of common nouns and adjective adjacencies in the novel “David Copperfield” by 19th century English writer Charles Dickens, seen in reference [13] in our paper. The Celegansneural data set (celegansneural.gexf) contains the graph of interconnections among the neurons in the C.elegans nematode [25]. The Bottleneck Dolphin Network (dolphins.gml) records the relationship and interactions between different dolphins in New Zealand [26] and is a famous data set for community detection. The football club network (football.gexf) includes the American club members in universities and their connections, seen in reference [1]. The lesmis network records relationships around Les Mis´erables, a French historical novel by Victor Hugo, first published in 1862, which is considered one of the greatest novels of the 19th century. The LFR2500 network (LFR2500_1.gexf) is the network generated by LFR. The Karate Club Network is a famous network for testing community detection [5]. The primary school network includes collected data of contacts between students and teachers in a primary school, seen in [28]. The file titled "primaryschool.gml" is complete data and the file titled "primaryschool120.gexf" is the network by removing the edge with contacts less than 120 seconds. The skill graph network (skillgraph.gexf) indicates how different skills are connected in the resume. The network in the file titled "t2.gexf" records a propagation tree in Microblog. And the file titled "user.gexf" contains the user relationship network of the users involved in the information propagation.



Computer Science, Physics, Social Networks, Physiologist