measure.dynamics           package:igraph           R Documentation

_M_e_a_s_u_r_i_n_g _t_h_e _d_r_i_v_i_n_g _f_o_r_c_e _i_n _e_v_o_l_v_i_n_g _n_e_t_w_o_r_k_s

_D_e_s_c_r_i_p_t_i_o_n:

     These functions assume a simple evolving network model and measure
     the functional form of a so-called _attractiveness function_
     governing the evolution of the network.

_U_s_a_g_e:

     measure.dynamics.idage (graph, agebins = 300, iterations = 5, 
         error=TRUE, time.window = NULL, number = FALSE, cites=FALSE,
         norm.method="old")
     measure.dynamics.id(graph, iterations = 5, error=TRUE, 
         time.window = NULL, number = FALSE, cites=FALSE, norm.method="old",
         debug=FALSE, debugdeg=0, which=2) 
     measure.dynamics.d.d(graph, vtime, etime, iterations = 5)
     measure.dynamics.citedcat.id.age(graph, categories, agebins = 300,
         iterations = 5, norm = c(1, 1, 1)) 
     measure.dynamics.citingcat.id.age(graph, categories, agebins = 300,
         iterations = 5, norm = c(1, 1, 1))
     measure.dynamics.lastcit(graph, agebins, iterations=5,
         norm.method="old", number=FALSE)
     measure.dynamics.age(graph, agebins, iterations=5, norm.method="old",
         number=FALSE)
     measure.dynamics.citedcat(graph, categories, iterations=5,
         number=FALSE, norm.method="old")
     measure.dynamics.citingcat.citedcat(graph, categories, iterations=5,
         number=FALSE, norm.method="old", norm=c(1,1))

_A_r_g_u_m_e_n_t_s:

   graph: The graph of which the evolution is quantified. It is assumed
          that the vertices were added in increasing order of vertex
          id.

 agebins: Numeric constant, the number of bins to use for measuring
          aging.

iterations: Numeric constant, number of iterations to perform while
          calculating the attractiveness and the total attractiveness
          function.

time.window: 

   vtime: 

   etime: 

categories: 

    norm: 

  number: 

norm.method: 

   error: 

   cites: 

   debug: 

debugdeg: 

   which: 

_D_e_t_a_i_l_s:

     The functions should be considered as experimental, so no detailed
     documentation yet. Sorry.

_V_a_l_u_e:

     TODO

_A_u_t_h_o_r(_s):

     Gabor Csardi csardi@rmki.kfki.hu

