Emergence in hierarchical complex systems structured as social networks

被引：2

作者：

Dumitrescu, Aimee-Theodora ^{[1
]}

Oltean, Ecaterina ^{[1
]}

Merezeanu, Daniel ^{[1
]}

Dobrescu, Radu ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Fac Automat Control & Comp, Bucharest, Romania

来源：

2017 21ST INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS) | 2017年

关键词：

Social Networks; Self-organization; Complex Adaptive Systems; Organizational emergence; Scale free networks;

D O I：

10.1109/CSCS.2017.66

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper aims to identify the elements that make possible the appearance of emergent properties in organizations structured as social networks, considered as adaptive multi-agent complex systems. The dynamics of these communities (referring primarily to the increasing number of members who interact) was analyzed by the specific rules of scale-free networks growth and the specific principles of multi-agent systems self-organization. Finally, a framework that allow to study the development of such networks according to the preferential attachment rule is introduced.

引用

页码：426 / 431

页数：6

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