Citation networks for understanding median research teams in idea flow with in a research community

<pre>The dataset contains 9 citations graphs obtained from the Web of Science. 3 graphs were generated for each of 3 research areas. 3 research areas are used, including SWF (Switched-capacitor Filters), NLP (Natural Language Processing), and RTT (Real-Time Tracking). For each area, 3 methods are used for generating the graph. Different methods use different "seed papers" are the starting point of getting the entire graph. Three settings of "seed papers" are used:6seed -- 6 very highly cited papers in the area that are hand picked and considered as having significant contributions to the community;100cit -- 100 top cited papers from search result for the research area at the time;100relev -- 100 most relavant papers from search result for the research area at the time The datasets are named after the following rule: [area][seed paper type]_[file type].csv eg. NLP6seed_arcs.csv -- Natural Language Processing, using 6 very highly cited papers as seed papers. The file contains the arc information. NLP6seed is the dataset used in the paper. We also provide the supporting data for all other 8 datasets. Detailed description of the files are given below: <br>- [dataset]_arcs.csv: the netlist of the citation graph- [dataset]_vertices.csv: the node information of the citation graph (paper name, author names, #citations, etc.)- [dataset]_cluster.xlsx: the group category information of the citation graph. Each column represents: GN-group leader name, GP-group publication, GS-group size, GC-group citation count, SC-self citation counts, CL-group category We also provide the following results:<br>- bc_[dataset].mat : betweenness change when removing categories B and/or C from the graph- mbc_[dataset].mat :modified betweenness change when removing categories B and/or C from the graph- sp_[dataset].mat : shortest path length change when removing categories B and/or C from the graph- msp_[dataset].mat : modified shortest path length change when removing categories B and/or C from the graph <br></pre>