Analysis of Social Network Dynamics with Models from the Theory of Complex Adaptive Systems - Collaborative, Trusted and Privacy-Aware e/m-Services Access content directly
Conference Papers Year : 2013

Analysis of Social Network Dynamics with Models from the Theory of Complex Adaptive Systems

Abstract

The understanding and modeling of social dynamics in a complex and unpredictable world, emerges as a research target of particular importance. Success in this direction can yield valuable knowledge as to how social phenomena form and evolve in varying socioeconomic contexts comprising economic crises, societal disasters, cultural differences and security threats among others. The study of social dynamics occurring in the aforementioned contexts with the methodological tools originating from the complexity theory, is the research approach we propose in this paper. Furthermore, considering the fact that online social media serve as platforms of individual expression and public dialogue, we anticipate that their study as complex adaptive systems, will significantly contribute to understanding, predicting and monitoring social phenomena taking place on both online and offline social networks.
Fichier principal
Vignette du fichier
978-3-642-37437-1_11_Chapter.pdf (293.88 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01470528 , version 1 (17-02-2017)

Licence

Attribution

Identifiers

Cite

Ilias Lymperopoulos, George Lekakos. Analysis of Social Network Dynamics with Models from the Theory of Complex Adaptive Systems. 12th Conference on e-Business, e-Services, and e-Society (I3E), Apr 2013, Athens, Greece. pp.124-140, ⟨10.1007/978-3-642-37437-1_11⟩. ⟨hal-01470528⟩
117 View
415 Download

Altmetric

Share

Gmail Facebook X LinkedIn More