DocumentCode :
3577031
Title :
Understanding the evolutionary dynamics and adaptation of complex networks
Author :
Abbasi, Alireza
Author_Institution :
Sch. of Eng. & IT, Univ. of New South Wales (UNSW Australia), Canberra, ACT, Australia
fYear :
2014
Firstpage :
1
Lastpage :
7
Abstract :
This study aims to explore the co-evolutionary processes of network structure and state for examining the evolutionary dynamic and adaptation of networks. The study addresses several major areas of network research: network structure dynamics (ie., the longitudinal study of network structure); network evolution mechanisms (ie, variation, selection, retention); actors´ attachment logics (ie, cumulative advantage, embedding, multi-connectivity, homophily); and self-organized network behaviour. Theories and hypotheses from the intersection of network theories, evolutionary theories and complex adaptive systems are drawn and synthesized Finally the co-evolution of local dynamics versus global dynamics of networks over time has been explored through proposing a research framework.
Keywords :
complex networks; evolution (biological); network theory (graphs); self-adjusting systems; actor attachment logic; complex network adaptation; evolutionary dynamics; network evolution mechanism; network structure dynamics; self-organized network behaviour; Adaptation models; Adaptive systems; Biological system modeling; Complex networks; Evolution (biology); Adaptation; Attachment logics; Complex network; Evolutionary dynamics; Social network analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Behavior, Economic and Social Computing (BESC), 2014 International Conference on
Type :
conf
DOI :
10.1109/BESC.2014.7059516
Filename :
7059516
Link To Document :
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