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Multiscale analysis of complex networks: from micro- to macro- with spectral entropy

Many empirical complex systems, from biochemical to social ones, exhibit a network structure with heterogeneous connectivity patterns, their topology being characterized by mesoscale and/or hierarchical organization. However, such systems are identified not only by their structure but also from the dynamical processes on its top: the interplay between topology and dynamics often leads to a rich spectrum of phenomena, from localization to phase transitions and collective behavior.

Round Table

A round table discussion will take place in the last day of the CCS meeting. After initial positions by the panelists the session will be open to questions and comments by the audience.

Panelists include:

Professor Guido Caldarelli, President of CSS

Professor Dirk Brockmann, Humboldt U, Berlin

Dr. Manuel García-Herranz, UNICEF

Dr. Lorenzo Righetto, Nature

Dr. Nico Gariboldy, Pfizer

Dr. Daniela Paolotti, ISI, Torino

Dr. Andrea Capocci, journalist

Dr. Barbara Carfagna, journalist

CSS Awards

Following the tradition in recent years there will be a special session for awarding several prizes to scientists in our community who deserve special recognition for their achievements in their career in the field of Complex Systems. These include two (2) junior awards to scientists at an early stage in their career, and one (1) senior award to an established scientist, for excellent contributions that they have achieved in recent years. The senior scientist will give a 40-min lecture.

Informal Networks and Formal Markets

I discuss the interaction between social networks and economic institutions:   how information flows through a network to help people learn about the availability of a formal market in the form of microfinance [1,2], as well as how the availability of that microfinance changes the structure of social networks [3,4].    The presence of the network is instrumental to gaining participation in the market, and the presence of that market erodes social networks – not just borrowing and lending networks but advice sharing and other networks.  

References 

Prediction in immune repertoires

Living systems often attempt to calculate and predict the future state of the environment. Given the stochastic nature of many biological systems how is that possible? Since the functioning of the repertoire relies on statistical properties, statistical analysis is needed to identify responding clones. Using such methods I will describe the repertoire level response to the SARS-CoV-2. I will also show that even a system as complicated as the immune system has reproducible outcomes.

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Contact

For information please contact :
ccs2020conf@gmail.com