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