CompleNet is an international conference that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate.
CompleNet 2018 – 9th Conference on Complex Networks
Boston (MA, US)
March 5-8, 2018
March 26 – 28, 2018
Max Planck Institute for Mathematics in the Sciences
The goal of Guided Self-Organization (GSO) is to leverage the strengths of self-organization (i.e., its simplicity, parallelization, adaptability, robustness, scalability) while still being able to direct the outcome of the self-organizing process. GSO typically has the following features:
(i) An increase in organization (i.e., structure and/or functionality) over time;
(ii) Local interactions that are not explicitly guided by any external agent;
(iii) Task-independent objectives that are combined with task-dependent constraints.
GSO-2018 is the 9th conference in a bi-annual series on GSO. Recent research is starting to indicate that information geometry, nonequilibrium statistical physics in general, and the thermodynamics of computation in particular, all play a key role in GSO. Accordingly, a particular focus of this conference will be the interplay of those three topics as revealed by their relationship with GSO.
One of the most frequently used scientific words, is the word “Entropy”. The reason is that it is related to two main scientific domains: physics and information theory. Its origin goes back to the start of physics (thermodynamics), but since Shannon, it has become related to information theory. This conference is an opportunity to bring researchers of these two communities together and create a synergy. The main topics and sessions of the conference cover:
- Physics: classical Thermodynamics and Quantum
- Statistical physics and Bayesian computation
- Geometrical science of information, topology and metrics
- Maximum entropy principle and inference
- Kullback and Bayes or information theory and Bayesian inference
- Entropy in action (applications)
The inter-disciplinary nature of contributions from both theoretical and applied perspectives are very welcome, including papers addressing conceptual and methodological developments, as well as new applications of entropy and information theory.
Entropy 2018: From Physics to Information Sciences and Geometry
14-16 May 2018
Auditorium Enric Casassas, Faculty of Chemistry, University of Barcelona, Barcelona, Spain
Welcome to the second Australian Social Network Analysis Conference (ASNAC 2017) to be held on the 28-29 November 2017 at the University of Sydney. This conference marks the second national meeting in Australia for researchers and practitioners who are working with social network analysis (SNA).