Name
Abstract | ||
|---|---|---|
A problem is presented about the evolutionary process of the vertex splitting complex network. The rule of the evolution is: every newly-added vertex is the copy of or is split from the existing vertex. The analytic equation set of this network evolutionary model and arithmetic of iteration are put forward. A series of simulation calculation prove that the complex network is Scale Free Network and the power-law increases along with the increment of the splitting similarity degree of λ(t) and even approaches to +∞. When the initial degree of each new vertex is constant, the evolutionary process of the network is similar to that of the BA model. © 2011 ACADEMY PUBLISHER. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.4304/jnw.6.6.904-906 | JNW |
Keywords | Field | DocType |
power-law,scale-free network,self-similarity,vertex-splitting,self similarity,power law,scale free network | Discrete mathematics,Mathematical optimization,Vertex (geometry),Computer science,Vertex (graph theory),Scale-free network,Complex network,Self-similarity,Power law,Feedback vertex set,Distributed computing,Vertex model | Journal |
Volume | Issue | Citations |
6 | 6 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Narisa Zhao | 1 | 5 | 2.26 |
| Xiaoming Dai | 2 | 100 | 21.23 |