Package: mediaviz
MediavizMediaviz is a network visualization library created for my projectAutomating Network Visualization and community detection of Media Sources Network from Mediacloud datadone withBerkman Klein Center of Internet And Societyat Harvard University while participating atGoogle Summer Of Code 2018under the guidance of mentorHal Roberts.Mediacloudis an open source, open data platform for researchers that provides data and statistics for quantitative analysis. Mediaviz has been originally developed to automate the network visualization of the media source networks for different topics such as network neutrality, ebola and more.However, beyond the mediacloud usage, Mediaviz is also a general purpose network visualization library provides functionalities for force based layout such asforce atlas 2, automatic scaling to prevent node overlap, Gephi like features for network filtering, coloring, node resizing, prevention of label overlap and community visualization.Mediaviz uses force atlas 2 layout as default and scales the layout automatically for graphs with 100-1000 nodes that has a power law linking structure.  Having sensible defaults, Mediaviz can be used for general graph visualization as well as publishable graphs with many customization parameters including using the drawing function with any other network layout function in networkx or beyond.Examples and demo visualizations are provided in the usage section.DocumentationComplete Documentation is available athttps://mediaviz.readthedocs.io/en/latest/InstallationTo install the package from pip :pipinstallmediavizTo build from source , download the repository and go to the Mediaviz top level directory. Then usepythonsetup.pyinstallorpipinstall.Dependenciesnetworkxfa2ladjusttextmatplotlibnumpypython-louvainBlog PostsGSOC 2018 Experience : Visualizing Media Data With Network Analysis (PART 1 )GSOC 2018 : Network Visualization Of MediaCloud Topic Network + 1st evaluation (Part 2)UsageDraw a Network with Force Atlas 2 Layout With Default Parametersimportnetworkxasnxfrommediaviz.drawimportdraw_forceatlas2_networkpath='graphname.gexf'G=nx.erdos_renyi_graph(200,0.7)draw_forceatlas2_network(G,node_color='purple',node_size=10,edge_color='gray',filename="random.png")Drawing Network with Force Atlas 2 Layout with customizationHere we parse color codes from .gexf visual attributes.importnetworkxasnxfrommediaviz.drawimportdraw_forceatlas2_networkfrommediaviz.viz_parserimportparse_colors,parse_size# 1000 node graph from mediacloud on network neutrality topicpath="network_neutrality.gexf"G=nx.read_gexf(path)node_colors=list(parse_colors(path,hex=True).values())draw_forceatlas2_network(G,num_labels=30,# num_labels indicates to only label top 30 largest nodes by node_sizefa2l_scaling_ratio=40,fa2l_iterations=100,# parameters for the force atlas 2 layoutnode_color=node_colors,with_labels=True,label_field="label",filter_by="inlink_count",top=200,# filter to get top 200 nodes sorted by inlink_countsize_field="inlink_count",min_size=0.1,max_size=200,# resize by inlink_countadjust_labels=True,# adjusts labels to prevent label overlapnode_opacity=0.8,edge_opacity=0.01,font_size=6,# size of label font_sizefilename="network_neutrality.png",title="network_neutrality",edge_color_by_source=True)Drawing Network With Community Detection and Coloring By Community Partitionsimportcommunityimportnetworkxasnxfrommediaviz.community_utilsimportget_community_graph,get_community_colormapfrommediaviz.drawimportdraw_forceatlas2_networkG=nx.florentine_families_graph()# get the community partitions and set partition as an attribute for the nodesG,partitions=get_community_graph(G)# colormaps are automatically assigned for each partition as randomly genererated hex colorscolormap=get_community_colormap(partitions)# use the draw function as usual with forceatlas2 layout as defaultdraw_forceatlas2_network(G,color_by="partition",colormap=colormap,node_size=10,with_labels=True,edge_color_by_source=True,node_opacity=1,edge_opacity=1,font_size=10,filename="community.png",figsize=(10,10));Only Using Draw Function for Customized Visualization With Other Layout Algorithmsimportnetworkxasnxfrommediaviz.drawimportdraw_forceatlas2_networkG=nx.karate_club_graph()pos=nx.spring_layout(G)draw_forceatlas2_network(G,pos=pos,node_size=10,color_by="club",colormap={"Officer":"r","Mr. Hi":"b"},node_opacity=1,edge_opacity=1,filename="karate_club.png",edge_color="lightgray")Contribution and Further ImprovementIf you want to contribute please send a pull request with listing the changes you have made and the reasoning clearly stated. Integrating the drawing function with matplotlib better and trying out different heuristics for automated scaling would be a priority.LicenseThis project is licensed under the MIT License - see the License.txt file for details.