Complex Systems Studies
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#complexity #complex_systems #networks #network_science

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🔸 International workshop on Dynamical Methods in Data-based Exploration of Complex Systems (7–11 October 2019), Max Planck Institute for the Physics of Complex Systems (MPIPKS), Dresden, Germany.

More details: https://t.co/zNKbfmIpzh
International Conference on
Transport Phenomena in Complex Environments

September 3-6, 2019 – Erice (Sicily), Italy


Important Dates

Registration Deadline: 18 August 2019
Abstract Submission Deadline: 1 August 2019
Abstract Acceptance Notification: 15 August 2019
Conference: 3-5 September 2019

http://www.psi.ir/TPCE19/
International Conference on
Transport Phenomena in Complex Environments

September 3-6, 2019 – Erice (Sicily), Italy


☕️ Scope

The conference aims to bring together scientists working on various aspects of transport phenomena in complex environments not only in physics but also in biology, traffic etc. We believe that recent techniques developed in each discipline can find application in other apparently different domains. Having knowledge of them provides a universal framework to understand the transportation behaviour of a variety of complex systems on a variety of spatiotemporal scales. Through the interaction of participants from different backgrounds, we expect important stimuli for the research in the field. Prominent researchers from physics and related interdisciplinary fields will participate. This will give a broad overview of the field, its main recent advancements and achievements, methods and applications. The conference deals with a selection of most recent techniques developments and cutting-edge scientific research topics within the general area of transport phenomena in complex environments from colloids up to macroscopic objects s such vehicles. The scientific program of the conference will offer an overview of
the latest scientific advances in four major topics:

Transport and diffusion in inhomogeneous media
Driven and confined colloidal systems
Urban traffic: vehicular, pedestrians, metro and bus lines
Self-propelled particles and active matter


In this conference, we will provide an ample opportunity to exchange points of view, to promote contacts and new collaborations among researchers working on transport phenomena in different inter-disciplinary areas of complex systems. We aim to create a unique forum for debate that can help to provide answers about the novel approaches and methodologies induced by drive-in systems out of equilibrium at all scales. Our participants, including prominent researchers in the areas of transport phenomena in nonequilibrium statistical physics, will be young scientists and postdocs working in the domain of driven systems.

http://www.psi.ir/TPCE19/

Conference Fee

Regular participants: 600 Euro
Students, postdocs and participants from developing countries: 500 Euro

Registration fee includes access to all sessions, accommodation, meals (breakfast, lunch, dinner), coffee breaks, excursion, social dinner, return ground transportation from Palermo or Trapani airports to conference venue, free WiFi and conference materials. For further details please go to Accommodation & Environment.

For participants who do not need accommodation, the registration fee will be 350 (regular) and 300 (students, post docs and participants from developing countries).

Please pay the conference fee by bank transfer to:

HOLDER: Fondazione Ettore Majorana e Centro di Cultura Scientifica
BANK: Unicredit Private Banking S.p.A.
BRANCH NAME: 07858 TRAPANI
STREET: Via Garibaldi 9 – 91100 Trapani, Italy
IBAN: IT 47 I 02008 16407 000600000655
BIC SWIFT: UNCRITMM

Send a copy of your bank transfer to the conference email TPCE19@psi.ir
review article “Multilayer Networks in a Nutshell"

https://www.annualreviews.org/doi/abs/10.1146/annurev-conmatphys-031218-013259?journalCode=conmatphys

a summary of the main results reported so far for the structure and the dynamics of multilayer networks.
Dan Larremore and I are hiring a postdoc @ CUBoulder to work on Computational Social Science, the Science of Science, Statistical Inference, and Dynamical Systems. For best consideration, please apply by April 15; position to start in August: https://t.co/MiyCEL3qbY
Interested in scientific research in the field of #ComplexSystems?
IFISC announces 6 SURF@IFISC2019 summer research grants for undergraduates with the aim of introducing student fellows to cutting-edge research. Deadline: 31/03

https://t.co/uCpoTFE1jf
💶 Thanks to generous support from our sponsors and supporters we are able to offer a limited number of #NetSci_2019 registration waivers to students!

To apply for a waiver please visit the application form listed here
https://t.co/AL3Jn2DjpF @
💰 We currently have openings for 2x postdoc and 1x predoc in cancer data science. Come join us to work on projects ranging from cancer evolution, image analysis to molecular epidemiology in millions of individuals. https://t.co/MG14EPxT0o
💰 2-year postdoc position in cancer data science: Applications open until April 18. See https://t.co/ZLQQgWQCwF for details.
Construction and Analysis of Protein-Protein Interaction Network of Heroin Use Disorder

https://t.co/RSlhdD9JKG
🔸 "Higher-Order Interaction Networks: Dynamics, Structure, Data": https://t.co/76FT8cwrpf

Mathematical Institute, University of Oxford, 9–11 Sept 2019

Goal: Bring together researchers from different communities with distinct perspectives on network dynamics
Conflict and Computation on Wikipedia: A Finite-State Machine Analysis of Editor Interactions
Simon DeDeo

https://www.mdpi.com/1999-5903/8/3/31/htm

Abstract:
What is the boundary between a vigorous argument and a breakdown of relations? What drives a group of individuals across it? Taking Wikipedia as a test case, we use a hidden Markov model to approximate the computational structure and social grammar of more than a decade of cooperation and conflict among its editors. Across a wide range of pages, we discover a bursty war/peace structure where the systems can become trapped, sometimes for months, in a computational subspace associated with significantly higher levels of conflict-tracking “revert” actions. Distinct patterns of behavior characterize the lower-conflict subspace, including tit-for-tat reversion. While a fraction of the transitions between these subspaces are associated with top-down actions taken by administrators, the effects are weak. Surprisingly, we find no statistical signal that transitions are associated with the appearance of particularly anti-social users, and only weak association with significant news events outside the system. These findings are consistent with transitions being driven by decentralized processes with no clear locus of control. Models of belief revision in the presence of a common resource for information-sharing predict the existence of two distinct phases: a disordered high-conflict phase, and a frozen phase with spontaneously-broken symmetry. The bistability we observe empirically may be a consequence of editor turn-over, which drives the system to a critical point between them.


Keywords:
conflict; cooperation; finite-state machine; tit-for-tat; critical transition; hidden Markov model; memory; social norms; knowledge commons; Wikipedia