grecip                  package:sna                  R Documentation

_C_o_m_p_u_t_e _t_h_e _R_e_c_i_p_r_o_c_i_t_y _o_f _a_n _I_n_p_u_t _G_r_a_p_h _o_r _G_r_a_p_h _S_t_a_c_k

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

     `grecip' calculates the dyadic reciprocity of the elements of
     `dat' selected by `g'.

_U_s_a_g_e:

     grecip(dat, g = NULL, measure = c("dyadic", "edgewise"))

_A_r_g_u_m_e_n_t_s:

     dat: An adjacency matrix, or stack thereof 

       g: A vector indicating which matrices to evaluate (optional) 

 measure: One of `"dyadic"' (default) or `"edgewise"' 

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

     The dyadic reciprocity of a graph is the proportion of dyads which
     are symmetric; this is computed and returned by `grecip' for the
     graphs indicated.  Note that the dyadic reciprocity is distinct
     from the edgewise or tie reciprocity, which is the proportion of
     edges which are reciprocated.  This latter form may be obtained by
     setting `measure="edgewise"'.

_V_a_l_u_e:

     The graph reciprocity value(s)

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

     Carter T. Butts ctb@andrew.cmu.edu

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

     Wasserman, S., and Faust, K.  (1994).  ``Social Network Analysis:
     Methods and Applications.''  Cambridge: Cambridge University
     Press.

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

     `mutuality', `symmetrize'

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

     #Calculate the dyadic reciprocity scores for some random graphs
     grecip(rgraph(10,5))

