def jdegree(cmatrix, edgetype='directed'):
""" Joint degree distribution. This function returns a matrix, in which
the value of each element (u,v) corresponds to the number of nodes that
have u outgoing connections and v incoming connections. Connection weights
are ignored.
Parameters
----------
cmatrix : connection/adjacency matrix
Returns
-------
J : joint degree distribution matrix (shifted by one)
Note: This function only makes sense for directed matrices. Weights are
discarded.
Olaf Sporns, Indiana University, 2002/2006/2008
"""
m = bct.to_gslm(cmatrix.tolist())
jdeg = bct.jdegree(m)
jdegnp = bct.from_gsl(jdeg)
bct.gsl_free(m)
bct.gsl_free(jdeg)
return np.asarray(jdegnp)
def jdegree(cmatrix, edgetype = 'directed'):
""" Joint degree distribution. This function returns a matrix, in which
the value of each element (u,v) corresponds to the number of nodes that
have u outgoing connections and v incoming connections. Connection weights
are ignored.
Parameters
----------
cmatrix : connection/adjacency matrix
Returns
-------
J : joint degree distribution matrix (shifted by one)
Note: This function only makes sense for directed matrices. Weights are
discarded.
Olaf Sporns, Indiana University, 2002/2006/2008
"""
m = bct.to_gslm(cmatrix.tolist())
jdeg = bct.jdegree(m)
jdegnp = bct.from_gsl(jdeg)
bct.gsl_free(m)
bct.gsl_free(jdeg)
return np.asarray(jdegnp)
def jdegree(*args): return _bct.jdegree(*args)
def jdegree(*args):
return _bct.jdegree(*args)
def jdegree(*args): """jdegree(gsl_matrix CIJ) -> gsl_matrix""" return _bct.jdegree(*args)
def jdegree(*args):
"""jdegree(gsl_matrix CIJ) -> gsl_matrix"""
return _bct.jdegree(*args)