inetwork-package          package:inetwork          R Documentation

_N_e_t_w_o_r_k _A_n_a_l_y_s_i_s _a_n_d _P_l_o_t_t_i_n_g

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

     'inetwork' implements a network partitioning algorithm to identify
     communities (or modules) in a network. The network plotting
     function then utilizes the identified community structure to
     position the vertices for plotting. The package also contains
     functions to calculate the assortativity, i.e. degree correlation,
     and transitivity, i.e. clustering coefficient, of a vertex.

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


       Package:  inetwork
       Type:     Package
       Version:  1.0
       Date:     2007-06-22
       License:  LGPL

     Identification of communities (or modules) in an undirected
     network (or graph) by 'icommunity', followed by organizing the
     communities within communities by 'ihierarchy' and plotting of the
     network by 'inetplot'. 'iassortativity' and 'itransitivity' in the
     package calculate a vertex's degree-correlation and clustering
     coefficient.

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

     Sun-Chong Wang
       Institute of Systems Biology and Bioinformatics, National
     Central University, Taiwan
      Epigenetics Laboratory, Centre for Addiction and Mental Health,
     Toronto Canada
      Maintainer: Sun-Chong Wang <sun-chong_wang@camh.net>

_R_e_f_e_r_e_n_c_e_s:

     M.E.J. Newman, Modularity and community structure in networks,
     _Proc. Natl. Acad. Sci. U.S.A._ 103 (2006) 8577-8582.

_S_e_e _A_l_s_o:

     'icommunity', 'ihierarchy', 'inetplot', 'iassortativity',
     'itransitivity'

_E_x_a_m_p_l_e_s:

     ## load data
     data(icashflow)

     ## network partitioning to find communities
     ihierarchy(icommunity(cf5))

     ## network plotting showing the communities
     inetplot(icommunity(cf5,partite=TRUE))

