auto-graph-visualizer 0.1.1

Known issues in installing

• Perhaps, you have some error in python-igraph installation depending on some environments. In such case, try the following installation before setup.

  $ apt install build-essential python3-dev libxml2 libxml2-dev zlib1g-dev

  Usage

  $ cat your_file | agviz

  Options:

• -n : Output graph name (.cx). (default : ‘test_out’)

• -p : Output directory path. (default : ‘./’)

• -a : Community detection algorithm. (default : ‘greedy’)

  • greedy : Based on the greedy optimization of modularity detail

  • eigenvec : Newman’s eigenvector community structure detection. detail

  • labelprop : The label propagation method of Raghavan et al. detail

  • rest : Community Detection Rest service. detail (github) See the `example <https://github.com/idekerlab/auto-graph-visualizer/blob/master/examples/UsingRestComDetec.ipynb>`__ how to use.

• -cp : Base color palette. (default : ‘hls’)

  • hls

  • Accent

  • Set1

  • brg

  • hsv

  • gnuplot

• -ns : The standard of nodesize. (default : ‘betweenness’)

  • closeness

  • degree

  • pagerank

  • betweenness

  • diversity

• -maxns : Value of criterion which maximum the node size. (default : 100 *you may need adjust this value according to the criterion and the network)

• -d : Density of output graph.(default : ‘normal’)

  • density

  • normal

  • sparse

• -pos : Algorithm of node positioning for graph layout.(default : ‘fa’)

  • fa : forceatras2

  • kk : kamada-kawai >Tomihisa Kamada and Satoru Kawai. An Algorithm for Drawing General Undirected Graphs. Information Processing Letters 31:7-15, 1989.

• -dln : The number of display labels. (default : 20)