Scilab Function
Last update : 5/9/2006
bbv - create the BBC weighted network model
Calling Sequence
-
[a,b,s,w] = bbv(M0,M,T,W0,Delta)
Parameters
-
M0
: integer
-
M
: integer
-
T
: integer
-
W0
: a real number
-
Delta
: a real number
-
a
: row vector of the numbers of the tail nodes of the graph (its size is the number of edges of the graph)
-
b
: row vector of the numbers of the head nodes of the graph (its size is the number of edges of the graph)
-
s
: row vector of the weight S of nodes of the graph (its size is the number of nodes of the graph)
-
w
: row vector of the weight of edges of the graph (its size is the number of edges of the graph)
Description
-
bbv creates the famous BBV model with tunable exponent 2 \lg r \leq3. M0 is the number of the initial nodes which compose an original complete graph. M is the number of link added into the model every time step (M \leq M0), T is the evolution time step. The W0 is the initial weight of edge added the network at first. Delta is the additional weight when one nodes is linked by a new edge.
Examples
[a b s w]=bbv(6,4,9994,1,1);
See Also
er
,
ws
,
ba
,
sba
,
Authors
-
Wubo