Scale free distribution in an analytical approach
In order to explain the scale free feature of complex networks, we introduce an analytical approach for investigating the degree distribution. We represent the degree distribution by the probability density function, where the correspondence between them is given approximately by the transformation from discrete number, degree, to a continuous variable. We find that arbitrary representations of the degree distribution as the probability density function are reduced to a specific form which obeys scale free. Our result provides one explanation for the ubiquity of scale free networks.
Year of publication: |
2010
|
---|---|
Authors: | Takagi, Kosuke |
Published in: |
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 389.2010, 10, p. 2143-2146
|
Publisher: |
Elsevier |
Subject: | Complex networks | Scale free | Degree distribution |
Saved in:
Saved in favorites
Similar items by subject
-
Scale-free property of directed networks with two intrinsic node weights
Shioda, Shigeo, (2009)
-
Synchronization of Kuramoto oscillators in random complex networks
Li, Ping, (2008)
-
Chinese lexical networks: The structure, function and formation
Li, Jianyu, (2012)
- More ...