Satellite Meetings
Now you can find all relevant information regarding Satellite Symposia that will take place during the International School and Conference on Network Science, NetSci2016, to be held at the K-Hotel, Seoul, Korea, from May 30 to June 3, 2016. Following the successful tradition of previous venues, NetSci2016 will host a number of stimulating Satellite Symposia on May 30 and May 31 as precursors of the main Conference. These satellite events are shorter (one-day or half-day) meetings with a focus on a specific topic of Network Science and its Applications.
Please, find below the Schedule and the final list of accepted Satellites. Each Satellite has a call for abstracts/participation independently. Also, please be noted that all participants should register through the Conference Web when it is open.
Satellite Meetings Schedule
| Room (Capacity) | MON AM | MON PM | TUE AM | TUE PM |
| Crystal Ballroom A |  Yang-Yu Liu, Gang Yan, Marco Tulio Angulo, Pau Vilimelis Aceituno Controlling Complex Networks |
Bailey Fosdick, Abigail Jacobs, Daniel Larremore, Aaron Clauset, Statistical Inference for Network Models |
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| Geumkang A | Byungnam Kahng, Zengru Di, Naoki Masuda, Network Science researches in Asia: Fundamentals |
Byungnam Kahng, Zengru Di, Naoki Masuda, Network Science Researches in Asia: Applications |
KAST Public Lectures |
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| Geumkang B | Hiroki Sayama, NetSciEd 5: Satellite Symposium on Network Science and Education |
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| Dongkang A | Maksim Kitsak, Dmitri Krioukov, Giovanni Petri, Network Geometry and Topology Workshop |
Naoki Masuda, Juyong Park, Competition Networks and Centrality |
Danielle Bassett, Javier Martín Buldú,Mario Chávez, Fabrizio de Vico Fallani, Andrea Gabrielli, Johann H. Martínez, David Papo, Qawi K. Telesford, Robin W. Wilkins, Brain networks |
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| Dongkang B | Sang Hoon Lee, Taro Takaguchi, Renaud Lambiotte, Ingo Scholtes, Jinhyuk Yun, When Complex Networks Meet Complex Data: Higher-Order Models in Network Science |
Tao Jia, Roberta Sinatra, Quantifying success |
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| Dongkang C | Pan-Jun Kim, Cheol-Min Ghim, Junhyo Jo, Daehee Hwang, I am My Phenotypes: Bringing Biological Networks into Phenotypic Contexts |
James McNerney, Hyejin Youn, Ceasar Hidalgo, Iyad Rahwan Networks and Technology Evolution |
Gregorio D’Agostino, Michele Coscia, Netonets2016 |
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| Dongkang D | Hang-Hyun Jo,Woo-Sung Jung, Nobuyasu Ito, Jari Saramäki, Social Connectome: The Anatomy of Social Networks and its Modeling |
Amitabh Sharma, Kwang-II Goh, Marc Santolini, Multiscale Characterization of the Human Diseases by Multinetworks |
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Satellite meeting List
Controlling Complex Networks Organizers: Yang-Yu Liu, Gang Yan, Marco Tulio Angulo, Pau Vilimelis Aceituno
Our symposium "Controlling Complex Networks" will discuss fundamental issues on network control, efficient mathematical and algorithmic tools for network control, and potential applications to technological, social and biological systems. We will bring together a number of practitioners of this rapidly emerging area, including established investigators from both network science and control theory communities, and experts focusing on the applications to engineering and biological systems.
Network Science researches in Asia: Fundamentals Organizers: Byungnam Kahng, Zengru Di, Naoki Masuda
This satellite meeting welcomes all colleagues not only from Asia to share their research with but also from other continents to find collaborators in Asian communities. The subjects of invited and contributed talks cover various topics in complex networks.
Network Geometry and Topology Workshop
Organizers: Maksim Kitsak, Dmitri Krioukov, Giovanni Petri
The Network Geometry and Topology workshop will focus on a number of topics including geometry and topology of random graphs and simplicial complexes, both real and synthetic, their dynamics, dynamics of various processes (such as navigation) running on them, emerging geometries of evolving networks, efficient statistical inference methods for learning latent geometries in real networks, as well as applications of everything above to real networks embedded in latent or physical spaces. Deadline for contributed talks: April 15th.
Networks and Technology Evolution Organizers: James McNerney, Hyejin Youn, Ceasar Hidalgo, Iyad Rahwan
Network representations arise in a number of ways in the study of technology evolution. These include innovation networks using patent data, production networks using input-output data, international trade networks, and networks of component interactions between parts of a device or production process. In this session we will discuss the increased availability of this data and new methods for analyzing it. The session will bring together different perspectives in this emerging area, attempt to identify important questions, and explore systematic frameworks for the study of technology evolution.
When Complex Networks Meet Complex Data: Higher-Order Models in Network Science Organizers: Sang Hoon Lee, Taro Takaguchi, Renaud Lambiotte, Ingo Scholtes, Jinhyuk Yun
The fact that accessible data are increasingly rich and complex give rise to new and unique challenges in network science: Studies of time-varying complex systems question the effectiveness of the conventional network approach and suggest that higher-order models are required to gain insight into their structure and dynamics. In this workshop, we are thus particularly interested in case studies that demonstrate when and why a simple abstraction of a system into nodes and links fails. Furthermore, we are interested in examples for extended modeling techniques that take into account additional dimensions of data, such as the timing, order, and frequency of interactions in temporal networks, as well as multiple relationship types and layers.
Social Connectome: The Anatomy of Social Networks and its Modeling Organizer: Hang-Hyun Jo,Woo-Sung Jung, Nobuyasu Ito, Jari Saramäki
I am My Phenotypes: Bringing Biological Networks into Phenotypic Contexts (NetIMP 2016) Organizers: Pan-Jun Kim, Cheol-Min Ghim, Junhyo Jo, Daehee Hwang
This symposium aims to inspire biological network research in phenotypic or functional contexts, covering a wide range of systems, subjects, and tools: intracellular to intercellular interactions, microorganisms to human bodies, health to disease states, statistical analysis to dynamical modeling, and experimental approaches
Competition Networks and Centrality Organizers: Naoki Masuda, Juyong Park
Competition is an essential mechanism for evolution and dynamics of various complex systems found in ecological, biological, social, information, and economic systems. Competition is also a quintessential network problem; citations and sports schedules are examples where understanding the mechanisms of competition under heterogeneous network topology and dynamics is paramount for predicting success and understanding long-term stability. The starting point for predicting winners in a network is centrality, a fundamental concept in network science that has been fruitfully used for information retrieval and relevance detection. This workshop is intended to foster exchange of ideas and collaboration in competition and centrality applicable to a diverse field of network science: social science, citations, sports, and ecology.
Statistical Inference for Network Models Organizers: Bailey Fosdick, Abigail Jacobs, Daniel Larremore, Aaron Clauset
Netonets2016 Organizers: Gregorio D’Agostino, Michele Coscia
Networks of networks are networks in which the nodes may be connected through different relations, are part of interdependent layers and connected by higher order dynamics. They can represent multifaceted social interaction, critical infrastructure and complex relational data structures. Let us consider the case of a social network. At the present day, a person can establish a social relation with hundreds of different people. Are all these people "friends"? Is it possible to organize all these relationships in the same class? Of course not: we have relatives, sentimental relationships, work mates and several different reasons, and degrees, to call the people we know "friends" or "acquaintances". We are looking for a diversity of research contributions revolving around networks of networks of any kind: in social media, in infrastructure, in culture.
Quantifying SuccessOrganizers: Tao Jia, Roberta Sinatra, Junming Huang
The Quantifying Success satellite has the aim of bringing together scientists and researchers from different disciplines and giving them the opportunity to present and discuss their recent results, identify open questions and new challenges, and develop common languages for solving problems in the emerging, fascinating field of the “science of success”. It will be an opportunity to discuss different, multi- and inter-disciplinary approaches to quantify success across a variety of scientific domains, with a main focus on data-driven methods.
Network Science Researches in Asia: Applications Organizers: Byungnam Kahng, Zengru Di, Naoki Masuda
This satellite meeting welcomes all colleagues not only from Asia to share their research with but also from other continents to find collaborators in Asian communities. The subjects of invited and contributed talks cover various topics in complex networks.
NetSciEd 5: Satellite Symposium on Network Science and Education Organizer: Hiroki Sayama
This follows the success of the first four NetSciEd satellites held in 2012--2015. NetSciEd5 will be a perfect venue to discuss anything related to network science and education, including educational activities to teach/learn network science as well as applications of network science to understand, model and improve educational systems and practices.
Brain Networks Organizers: Danielle Bassett, Javier Martín Buldú,Mario Chávez, Fabrizio de Vico Fallani, Andrea Gabrielli, Johann H. Martínez, David Papo, Qawi K. Telesford, Robin W. Wilkins
The aim of this Satellite is to explore how network science methods can be successfully applied to neuroimaging data. Vital to these studies is the development of methods and algorithms for understanding the distinct properties of brain-based graphs. We will review of the current techniques used in network neuroimaging studies, and a description of emerging analysis methods designed to understand underlying structures and relationships in the brain. Attendees of this workshop will gain an understanding of the field of network neuroscience.
Multiscale Characterization of the Human Diseases by Multinetworks Organizers: Amitabh Sharma, Kwang-II Goh, Marc Santolini