complexity analysis

Conference on Complex Systems 2017

This CFP should be of interest to several members of our group.

Call for abstracts

The flagship conference of the Complex Systems Society will go to Latin America for the first time in 2017. The Mexican complex systems community is enthusiast to welcome colleagues to one of our richest destinations: Cancun.

The conference will include presentations by Mario Molina (Environment, Nobel Prize in Chemistry), Ranulfo Romo (neuroscience), Antonio Lazcano (origins of life), Marta González (human mobility), Dirk Brockmann (epidemiology), Stefano Battiston (economics) John Quackenbush (computational biology), and many more.

We invite abstract contributions (500 words maximum) for oral presentations or posters in the following tracks:

  • Foundations of Complex Systems
  • Information and Communication Technologies
  • Language, Linguistics Cognition and Social Systems
  • Economics and Finance
  • Infrastructures, Planning and Environment
  • Biological and (Bio)Medical Complexity
  • Socio-Ecological Systems
  • Complexity in Physics and Chemistry

Upload instructions will be announced in http://ccs17.unam.mx

Important dates:

Abstract deadline March 10
Notifications of Acceptance April 21
Conference September 17-22

Looking forward to learn about your research in Cancun,

Carlos Gershenson and José Luis Mateos, CCS’17 Co-Chairs

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New paper on the irreducibility of social interaction dynamics

In an upcoming publication in the journals Frontiers in Psychology we present a couple of findings that challenge the prevalent idea that properties of social interaction can be explained in terms of individual properties alone.

Time series analysis of embodied interaction: Movement variability and complexity matching as dyadic properties

Leonardo Zapata-Fonseca, Dobromir G. Dotov, Ruben Y. Fossion, and Tom Froese

There is a growing consensus that a fuller understanding of social cognition depends on more systematic studies of real-time social interaction. Such studies require methods that can deal with the complex dynamics taking place at multiple interdependent temporal and spatial scales, spanning sub-personal, personal, and dyadic levels of analysis. We demonstrate the value of adopting an extended multi-scale approach by re-analyzing movement time series generated in a study of embodied dyadic interaction in a minimal virtual reality environment (a perceptual crossing experiment).

Reduced movement variability revealed an interdependence between social awareness and social coordination that cannot be accounted for by either subjective or objective factors alone: it picks out interactions in which subjective and objective conditions are convergent (i.e. elevated coordination is perceived as clearly social, and impaired coordination is perceived as socially ambiguous). This finding is consistent with the claim that interpersonal interaction can be partially constitutive of direct social perception.

Clustering statistics (Allan Factor) of salient events revealed fractal scaling. Complexity matching defined as the similarity between these scaling laws was significantly more pronounced in pairs of participants as compared to surrogate dyads. This further highlights the multi-scale and distributed character of social interaction and extends previous complexity matching results from dyadic conversation to nonverbal social interaction dynamics. Trials with successful joint interaction were also associated with an increase in local coordination. Consequently, a local coordination pattern emerges on the background of complex dyadic interactions in the PCE task and makes joint successful performance possible.