The Effects of Decision-Making Processes and Population Turnover on the Formation of Social Networks
The researchs on the structure and formation mechanism of social networks lead to several models with differences in the attachment patterns of new links (edges). In fact, the driving factor behind the addition of new links is just as important as the attachment patterns, while very little attention...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/906785 |
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doaj-8c59c20c9deb4f89b737394d99bda4222020-11-24T22:32:27ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/906785906785The Effects of Decision-Making Processes and Population Turnover on the Formation of Social NetworksZhijing Xu0Zhenghu Zu1Tao Zheng2Wendou Zhang3Qing Xu4Beijing Institute of Biotechnology, 20 East Avenue, Fengtai District, Beijing 100071, ChinaBeijing Institute of Biotechnology, 20 East Avenue, Fengtai District, Beijing 100071, ChinaBeijing Institute of Biotechnology, 20 East Avenue, Fengtai District, Beijing 100071, ChinaBeijing Institute of Biotechnology, 20 East Avenue, Fengtai District, Beijing 100071, ChinaBeijing Institute of Biotechnology, 20 East Avenue, Fengtai District, Beijing 100071, ChinaThe researchs on the structure and formation mechanism of social networks lead to several models with differences in the attachment patterns of new links (edges). In fact, the driving factor behind the addition of new links is just as important as the attachment patterns, while very little attention has been devoted so far to this exploration. We present an agent-based model which could successfully reproduce large-scale social networks. We find that the structure of social networks is a consequence of continuous individuals’ decision-making processes based on self-evaluations and the turnover of the population. The individuals’ self-evaluation processes are key motivating factors for the addition of new links, while the attachment patterns and the turnover of the population should be responsible for the topology of social networks. The resulting networks of our model display dynamics between order and randomness, which is greatly consistent with current observations and research achievements of social networks. We also find that some plausible properties of empirical data are actually artifacts due to the boundedness of sampling. Our research has revealed the driving factors behind the evolution of social networks as well as the underlying evolving patterns. These findings will lead to a better understanding of social structures.http://dx.doi.org/10.1155/2013/906785 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhijing Xu Zhenghu Zu Tao Zheng Wendou Zhang Qing Xu |
spellingShingle |
Zhijing Xu Zhenghu Zu Tao Zheng Wendou Zhang Qing Xu The Effects of Decision-Making Processes and Population Turnover on the Formation of Social Networks Mathematical Problems in Engineering |
author_facet |
Zhijing Xu Zhenghu Zu Tao Zheng Wendou Zhang Qing Xu |
author_sort |
Zhijing Xu |
title |
The Effects of Decision-Making Processes and Population Turnover on the Formation of Social Networks |
title_short |
The Effects of Decision-Making Processes and Population Turnover on the Formation of Social Networks |
title_full |
The Effects of Decision-Making Processes and Population Turnover on the Formation of Social Networks |
title_fullStr |
The Effects of Decision-Making Processes and Population Turnover on the Formation of Social Networks |
title_full_unstemmed |
The Effects of Decision-Making Processes and Population Turnover on the Formation of Social Networks |
title_sort |
effects of decision-making processes and population turnover on the formation of social networks |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2013-01-01 |
description |
The researchs on the structure and formation mechanism of social networks lead to several models with differences in the attachment patterns of new links (edges). In fact, the driving factor behind the addition of new links is just as important as the attachment patterns, while very little attention has been devoted so far to this exploration. We present an agent-based model which could successfully reproduce large-scale social networks. We find that the structure of social networks is a consequence of continuous individuals’ decision-making processes based on self-evaluations and the turnover of the population. The individuals’ self-evaluation processes are key motivating factors for the addition of new links, while the attachment patterns and the turnover of the population should be responsible for the topology of social networks. The resulting networks of our model display dynamics between order and randomness, which is greatly consistent with current observations and research achievements of social networks. We also find that some plausible properties of empirical data are actually artifacts due to the boundedness of sampling. Our research has revealed the driving factors behind the evolution of social networks as well as the underlying evolving patterns. These findings will lead to a better understanding of social structures. |
url |
http://dx.doi.org/10.1155/2013/906785 |
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