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Dr. Matija Piškorec
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Biography

Matija's main research interests are in the field of machine learning and complex systems, with special emphasis on the statistical inference of influence in online social networks, which was part of his PhD research. Recently his interest include distributed ledger technologies as well, mainly because they provide previously unattainable transparency in analyzing these newly emerging and increasingly influential economic systems. He is also interested in information visualization and building interactive web applications, most recently in the field of computational biology and bioinformatics

Research interests:
Machine Learning, Complex Systems, statistical inference, Information visualization, Social influence in online social networks, Blockchain Technologies, Blockchain Technologies
Title
Research Area
Authors
Publication Type
Release Year
Title

Bow-tie structure of the Polkadot transfer network

Research Area

Blockchain Analytics

Authors

Matija Piškorec, Ben Domenic James Murphy, Florian Rüegsegger, Sina Rafati Niya &Claudio J Tessone

Publication Type
Conference Proceedings
Release Year

2023

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Title

The Structural Role of Smart Contracts and Exchanges in the Centralisation of Ethereum-Based Cryptoassets

Research Area

Blockchain Analytics

Authors

Francesco Maria De Collibus, Matija Piškorec, Alberto Partida, Claudio J. Tessone

Publication Type
Research Paper
Release Year

2022

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Title

The Role of Smart Contracts in the Transaction Networks of Four Key DeFi-Collateral Ethereum-Based Tokens.

Research Area

Blockchain Analytics

Authors

Francesco Maria De Collibus, Alberto Partida, Matija Piškorec

Publication Type
Book
Release Year

2022

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Title

Visualization of Blockchain Consensus Degradation

Research Area

Blockchain Analytics

Authors

Luca Ambrosini, Matija Piškorec, Claudio J. Tessone

Publication Type
Research PaperConference Proceedings
Release Year

2022

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Title

Heterogeneous Preferential Attachment in Key Ethereum-Based Cryptoassets

Research Area

Blockchain Analytics

Authors

Francesco Maria De Collibus, Alberto Partida , Matija Piškorec, Claudio J. Tessone 

Publication Type
Research Paper
Release Year

2021

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