sna                   package:sna                   R Documentation

_T_o_o_l_s _f_o_r _S_o_c_i_a_l _N_e_t_w_o_r_k _A_n_a_l_y_s_i_s

_D_e_s_c_r_i_p_t_i_o_n:

     'sna' is a package containing a range of tools for social network
     analysis.  Supported functionality includes node and graph-level
     indices, structural distance and covariance methods, structural
     equivalence detection, p* modeling, random graph generation, and
     2D/3D network visualization (among other things).

_D_e_t_a_i_l_s:

     Network data for 'sna' routines can (except as noted otherwise)
     appear in any of the following forms:

        *  adjacency matrices (dimension N x N);

        *  arrays of adjacency matrices, aka "graph stacks" (dimension
           m x N x N);

        *  'network' objects; or

        *  lists of adjacency matrices/arrays and/or 'network' objects.

     Within the package documentation, the term "graph" is used
     generically to refer to any or all of the above (with multiple
     graphs being referred to as a "graph stack").  Note that usage of
     'network' objects requires that the network package be installed. 
     (No additional packages are required for use of adjacency
     matrices/arrays or lists thereof.)  In general, 'sna' routines
     attempt to make intelligent decisions regarding the processing of
     multiple graphs, but common sense is always advised; certain
     functions, in particular, have more specific data requirements. 
     Calling 'sna' functions with inappropriate input data can produce
     "interesting" results.

     To get started with 'sna', try obtaining viewing the list of
     available functions.  This can be accomplished via the command
     'library(help=sna)'.

_A_u_t_h_o_r(_s):

     Carter T. Butts buttsc@uci.edu

