Blockchain and social network: tecnologies, analyses and - - PowerPoint PPT Presentation

blockchain and social network tecnologies analyses and
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Blockchain and social network: tecnologies, analyses and - - PowerPoint PPT Presentation

Blockchain and social network: tecnologies, analyses and applications Group Coordinator: Laura Ricci Research associate: Barbara Guidi PhD Students: Andrea Michienzi, Andrea Lisi, Moshin Ur Rahman, Adrian Spataru (co-tutela) Research themes


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Blockchain and social network: tecnologies, analyses and applications

Group Coordinator: Laura Ricci Research associate: Barbara Guidi PhD Students: Andrea Michienzi, Andrea Lisi, Moshin Ur Rahman, Adrian Spataru (co-tutela)

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Research themes

  • Social network analysis:
  • motif mining
  • influencer analysis
  • distributed community detection
  • blockchain-based social networks
  • Blockchain technology:
  • rewarding and rating systems
  • development of new models for blockchain
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Community detection in OSN

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Motif detection in social networks

  • parametric motifs:
  • stars
  • chain
  • ping-pong
  • P-triangle
  • ne way couple.
  • composite motifs (meta-

motifs)

  • in-star
  • ut-star.
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Motifs in transaction graphs

  • Mining complex motifs in transactions graphs
  • Bitcoin
  • Ethereum
  • Goal:
  • understand users’ behavior in crypto-economy
  • defining deanonymization techniques
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HELIOS: H2020 future OSN project

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Exploiting real datasets

  • Facebook ego network dataset
  • Facebook groups dataset
  • Steemit transactions
  • a blockchain based social network
  • Instagram
  • Bitcoin and Ethereum blockchain
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Blockchain technology

  • development of blockchain based system
  • auditable access control systems
  • rating sytems
  • token based rewarding systems
  • new blockchain models:
  • inter-ledger protocols
  • support for complex queries on blockchain
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Collaborations

  • IIT CNR: Paolo Mori
  • blockchain technology
  • Dep. Computer Science, Cambridge: Damiano Di Francesco Maesa
  • mining patterns in transactions graph
  • Trinity College, Dublin: Kevin Koidl
  • social network mining
  • CERTH, Salonicco: Symeon Papadopoulos
  • distributed learning systems