Network of Excellence in Internet Science (JRA1, Towards a Theory of Internet Science, K. Salamatian, UNIV-SAVOIE)
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Network of Excellence in Internet Science (JRA1, Towards a Theory of Internet Science, K. Salamatian, UNIV-SAVOIE)

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The Network of Excellence in Internet Science aims to achieve a deeper multidisciplinary understanding of the Internet as a societal and technological artefact....

The Network of Excellence in Internet Science aims to achieve a deeper multidisciplinary understanding of the Internet as a societal and technological artefact.
More information: http://internet-science.eu/
Twitter: @i_scienceEU

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Network of Excellence in Internet Science (JRA1, Towards a Theory of Internet Science, K. Salamatian, UNIV-SAVOIE) Network of Excellence in Internet Science (JRA1, Towards a Theory of Internet Science, K. Salamatian, UNIV-SAVOIE) Presentation Transcript

  • Network of Excellence in Internet Science Kick-off Meeting Brussels, 21-22 December 2011 Kavé Salamatian (UoS) FP7-ICT-2011.1.6-288021 EINS JRA1: Towards a Theory of Internet Science  
  • Multidisciplinary context Brussels, December 21-22, 2011 EINS Kick-off Meeting Human sciences: Sociology Antropology Psychology Political Science Hard sciences Mathematics Physics Biology Economy : Microeconomy Macroeconomy Game Theory Statistics Engineering sciences Computer Science Communication Computer Networks Networking and Internet Science Information Theory
  • Interactions with other JRAs
      • Largest JRA in man/months
        • 68 man/months
        • 21/39 partners involved
      • Strong interactions with almost all JRAs
        • In particular JRA 2 and 3
      • Fundamental basis for IAI2
        • Joint Courses and Graduate Programmes
        • Organisation of Summer Schools
    Brussels, December 21-22, 2011 EINS Kick-off Meeting
  • WP Objectives
      • Bring together various communities involved with networks and Internet
        • Observing similarities, differences and interactions among different types of "network",
        • Discovering fundamental rules and principles applicable to a large class of networks
          • regardless of particular technology, protocol, social background, economic situation
        • Derive the fundamentals of a Networking/Internet Science
          • What differentiate networking from other domains
    Brussels, December 21-22, 2011 EINS Kick-off Meeting
  • WP Tasks
      • 1- Discovering fundamental models for network graphs
        • Fundamental metrics (and evolution)
          • start from generic metrics and verify
          • start from specific networks and generalize
        • How to measure complexity of a complex network
      • 2-Understanding Cooperation as the basis of networking
      • 3-Studying scaling mechanisms that explain 
        • how local interactions (micro-scopic) in network results in large scale networks
        • how global interactions (macro-scopic) in network influence local interactions
        • what about meso-scopic level ?
      • 4-Emergence of collective intelligence
    Brussels, December 21-22, 2011 EINS Kick-off Meeting
  • 1-Fundamental models for network graphs
      • To detect and understand laws that help in understanding web graphs, human social networks and the Internet itself.
        • Large spectra of networks
          • Social network, Internet, roads, flight paths, brain networks, biological networks
            • How they are similar ? How they are different?
        • Aim : Deriving a taxonomy of different graph structures
      • Understand the dynamic of network graphs
        • How they evolve ?
          • What is the impact of social, economic, human factors in the evolution
        • Aim : dynamic explicative model that explain how/why the networks topologies have grown to their observed structure
      • Partners: UoS,UCAM ,TUDelft, IIN, NKUA, CNR, LSE, KNAW,WARW, ALB
    Brussels, December 21-22, 2011 EINS Kick-off Meeting
  • 2-Cooperation as the basis of networks
      • Networking science is the science that studies cooperation for the production, distribution, integration, evaluation and exploitation of “information”
      • Integrating relevant aspects of economic theory into information and communication networks analysis integrating
        • human choice and behaviors
        • importance of connectivity structure
        • Special characteristics of information
          • Infinitely reproducibility, nonscarceness, etc…
      • Providing a conceptual platform
        • For understanding interaction of game theory, information theory, economics
        • For informing policy development and evaluation, for regulation, social interactions, security, etc.
      • Partners: UoS, UWARW, ETHZ
    Brussels, December 21-22, 2011 EINS Kick-off Meeting
  • 3- Scaling from local interactions to global networks
      • Understanding the underlying scientific laws explaining why human and biological systems optimise both overall performance/resilience of the system, and individual needs of its participants.
        • To engineer, govern and influence complex systems and networks (both human and technological).
        • To develop a solid theoretical framework that will connect microscopic (local) interactions and emergent macroscopic network properties in complex systems.
        • To overcome the ‘fallacies of design’
          • Can we design or control the Internet or should we introduce mechanisms to increase the likelihood that autonomic interactions at the small scale would yield a functioning large-scale structure
      • Partners: UoS, CERTH, EPFL, UCAM, TUDelft, IIN, UAM, ALB, NKUA,WARW
    Brussels, December 21-22, 2011 EINS Kick-off Meeting
  • 4-Emergence of collective intelligence
      • Networks results in the emergence of global distributed intelligence.
        • Using this global intelligence to control the network itself
        • To evaluate the environment
          • Detect idiosyncratic or systemic, endogenous or exogenous, epidemic or endemic shocks
      • Emergence and functioning of human communities based on knowledge sharing and communication;
        • the world wide web and web-science are simply specific cases of this larger perspective.
      • Exploit CI in the design of a massive-scale future Internet and,
        • how availability of a massive amount of content anywhere and anytime could impact on the cognitive processes of the humans.
      • Partners: UoS, UCAM, TUM, TUDelft, IIN, UAM, ALB, NKUA, CNR, CERTH, WARW
    Brussels, December 21-22, 2011 EINS Kick-off Meeting
  • JRA1 Action List for the 1st Year
      • Roadmap for Internet Science, M12
        • Contribution to the Roadmap of the Internet Science for FP8
      • Large Scale information network roadmap, M12
      • Workshop on Social Network, from sociology to technology
        • Will be organised around WWW 2012 in Lyon
    Brussels, December 21-22, 2011 EINS Kick-off Meeting
  • JRA Impacts
      • Develop a strong theoretical basis for Internet Science
        • Describe its fundamental dimensions/foundations
        • Provide a multidisciplinary platform for understanding networks
      • Strong interaction with other JRAs
      • Can lead eventually to a full new science
    Brussels, December 21-22, 2011 EINS Kick-off Meeting
  • Issues to be discussed and decided
      • How to begin concretely the work
        • We need to do cross seminars to cross fertilize
          • Emergence of a joint jargon 
        • Where ? When ? Which format ?
          • Workshop, informal meeting, Visioconferences
            • Itunes U format ?
        • Which topic first ?
          • Large scale networks ?
          • Network economics ?
          • Complex systems ?
    Brussels, December 21-22, 2011 EINS Kick-off Meeting