NAME

        socnetv - Visualize and analyze social networks

SYNOPSIS

       socnetv < file.net >

       socnetv -V | --version

       socnetv -h | --help

DESCRIPTION

       Social  Network  Visualiser (SocNetV) is a cross-platform, user-friendly application for the analysis and
       visualization of Social Networks.

       With SocNetV you can:

       • Draw social networks with a few clicks on a virtual canvas, load field data from a file in a  supported
         format  (GraphML,  GraphViz,  EdgeList,  GML,  Adjacency,  Edgelist,  Pajek, UCINET, etc.) or crawl the
         internet to create a social network of connected webpages.

       • Edit actors and ties through point-and-click, analyse graph  and  social  network  properties,  produce
         beautiful HTML reports and embed visualization layouts to the network.

FEATURES

       These are the main features and routines of SocNetV:

       • Standard  graph-theoretic  and  network  cohesion  metrics,  such  as  density, diameter, geodesics and
         distances, connectedness, eccentricity, clustering coefficient, walks, etc.

       • Matrix routines: Adjacency plot, Laplacian matrix, Degree matrix, Cocitation, etc.

       • Advanced structural measures for social network analysis such as centrality and prestige indices  (i.e.
         eigenvector and closeness centrality, betweenness centrality, information centrality, power centrality,
         proximity and pagerank prestige),

       • Community detection algorithms such as triad census, clique census, etc.

       • Structural equivalence analysis, using hierarchical clustering,  actor  similarities  and  tie  profile
         dissimilarities, pearson coefficients, etc.

       • Random network creation, i.e. Erdos-Renyi, Watts-Strogatz, scale-free, ring lattice, etc.

       • One-click recreation of well-known social network datasets such as Padgett's Florentine families.

       • Layout  algorithms  based  on  either  prominence  indices  (i.e.  circular,  level  and nodal sizes by
         centrality score) or force-directed models  (i.e.  Eades,  Fruchterman-Reingold,  etc)  for  meaningful
         visualizations of your social network data.

       • Multirelational  loading and editing. You can load a network consisting of multiple relations or create
         a network on your own and add multiple relations to it.

       • Built-in web crawler, allowing you to automatically create networks from links found in a given initial
         URL.

       • Comprehensive documentation, both online and while running the application, which explains each feature
         and algorithm of SocNetV in detail.

       • Binary packages for Windows, Linux and MacOS.

DOCUMENTATION

       The  documentation,  licensed  under  the   Free   Documentation   License   (FDL),   is   available   at
       <http://socnetv.org/docs/index.html>

OPTIONS

       --version | -V
              Displays the version of the program.

       --help | -H
              Displays a short help message.

       file.net
              The name of the file you want to open.

USAGE

       SocNetV  has  a simple Graphical User Interface (GUI). The biggest (right) part of the window is occupied
       by a virtual "canvas" where network nodes and edges appear. To the left of it, there is  a  dock  with  4
       buttons  (add/remove  node,  add/remove  link)  and some LCDs which display statistics. On the top of the
       window, you will find the menu with all commands and options, and at the bottom there is  a  status  bar,
       where messages appear.

       To create a new node, you can double-click on the canvas or click on the "add node" button.

       To  create  a  new  link,  you  can  middle-click  on  the  source  node  and  then  on  the target node.
       Alternatively, you can click on the "add link" button from the dock.

       You move a node by left-clicking and dragging it. When you right-click on a node, a context menu appears.
       From  there you can remove the node, change its color, label, size as well as its shape. SocNetV supports
       many kinds of node shapes, i.e rectangles, diamond, ellipse, circle, etc. A similar  menu   appears  when
       you right click on a link.

Supported Formats

       The  default  file  format  for  reading  and saving social network is GraphML. Nevertheless, SocNetV can
       import various other formats (see below).

       You can load GraphML files by clicking on menu File > Load. To load other network formats, use  the  menu
       File -> Import.

       SocNetV supports the following network data formats:

       • GraphML (.graphml or .xml)

       • GML (.gml or .xml)

       • GraphViz (.dot)

       • Adjacency matrix (.sm, .adj or .csv )

       • Pajek (.net, .paj or .pajek),

       • UCINET's Data Language (.dl)

       • edge list (.lst or .list)

       • Weighted Lists (.wlst or .wlist)

Layout algorithms

       SocNetV  also  supports  a  variety of layout algorithms, such as spring-embedder (i.e. energy based) and
       centralities-based. The latter reposition all nodes in circles of different radiuses (i.e.  more  central
       nodes  appear  near the centre of the canvas) or in levels of different height (more central nodes appear
       near to the top).

       You can apply layout algorithms from the menu Layout or by clicking on the checkboxes on  the  dock.  Not
       all layouts appear on the dock, though.

KNOWN BUGS

       The  network  file  parser  is not 100% trustworthy. For instance, complicated Pajek or GraphML files can
       crash the application.

       Antialiasing is on by default. This slows down the application when the network has many nodes and edges.
       You can disable antialiasing by pressing F8 .

AUTHOR

       Dimitris Kalamaras <dimitris.kalamaras@gmail.com>

BUG REPORTS

       Report bugs to https://github.com/socnetv/app/issues

       In  order  to  send  a  meaningful bug report, run socnetv from a terminal, press F9 and repeat the steps
       which lead to bug manifestation. SocNetV will be printing debug messages  on  the  standard  output  (the
       terminal in Linux).

AVAILABILITY

       The  latest  version  of  this program can be found at <http://socnetv.org>.  It is distributed in source
       code and binary packages for Linux distributions, image disks for Mac OS X  and  zipped  executables  for
       Windows.

       To    get    the    latest    development   version   use:   git   clone   -b   develop   --single-branch
       https://github.com/socnetv/app.git socnetv

COPYRIGHT

       This program is distributed under the terms of the GNU General Public License 3 as published by the  Free
       Software  Foundation  <http://www.gnu.org/licenses/gpl.html>.  See  the  built-in help for details on the
       License and the lack of warranty.

SEE ALSO

       graphviz(1)