Sign in
Author

Conference

Journal

Organization

Year

DOI
Look for results that meet for the following criteria:
since
equal to
before
between
and
Search in all fields of study
Limit my searches in the following fields of study
Agriculture Science
Arts & Humanities
Biology
Chemistry
Computer Science
Economics & Business
Engineering
Environmental Sciences
Geosciences
Material Science
Mathematics
Medicine
Physics
Social Science
Multidisciplinary
Keywords
(7)
Complex Network
Complex System
Network Evolution
Probability Distribution Function
Scale Free Network
Tree Structure
Power Law
Subscribe
Academic
Publications
Mutual Selection in Network Evolution:. the Role of the Intrinsic Fitness
Mutual Selection in Network Evolution:. the Role of the Intrinsic Fitness,10.1142/S0129183110015014,International Journal of Modern Physics C,XinJian
Edit
Mutual Selection in Network Evolution:. the Role of the Intrinsic Fitness
BibTex

RIS

RefWorks
Download
XinJian Xu
,
LiuMing Zhang
,
LiJie Zhang
We propose a new mechanism leading to scalefree networks which is based on the presence of an intrinsic character of a vertex called fitness. In our model, a vertex i is assigned a fitness xi, drawn from a given
probability distribution function
f(x). During network evolution, with rate p we add a vertex j of fitness xj and connect to an existing vertex i of fitness xi selected preferentially to a linking probability function g(xi, xj) which depends on the fitnesses of the two vertices involved and, with rate 1  p we create an edge between two already existed vertices with fitnesses xi and xj, with a probability also preferential to the connection function g(xi, xj). For the proper choice of g, the resulting networks have generalized powerlaws, irrespective of the fitness distribution of vertices.
Journal:
International Journal of Modern Physics C  IJMPC
, vol. 21, no. 01, pp. 129135, 2010
DOI:
10.1142/S0129183110015014
Cumulative
Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
(
adsabs.harvard.edu
)
(
www.worldscinet.com
)
(
arxiv.org
)