|
|
|
| Effect Factor Analysis of Information Spreading in Empirical Networks Based on Null Models |
| ZHOU Jianyun, LIU Zhenzhen, XU Xiaoke
|
| College of Information and Communication Engineering, Dalian Minzu University, Dalian 116600, China |
|
|
|
|
Abstract The structural characteristics of real networks usually have a very important impact on spread speed. In order to explore which structural features have a crucial impact on the speed of spreading, we collect the data of a SMS social network, and perform simulation experiments on the original network and its corresponding null-model networks. Simulation results show that the average shortest path length of the network is the key factor affecting the propagation speed, and the network distribution is the key factor affecting the propagation range. This study systematically proposes a method to test and quantify the influencing factors of real-life network spreading by referring to null model theory, which can also be extended to other researches of network dynamics, such as synchronization, game, cascading failures.
|
|
Received: 06 March 2019
Published: 24 October 2019
|
|
|
|
|
|
|
|
|
