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Engineering and Technology

D-Index
33
Citations
5377
World Ranking
9374
National Ranking
19

Overview

Janusz A. Hołyst is affiliated with the Warsaw University of Technology in Poland. Their research primarily focuses on the field of Physics and Astronomy, with a significant number of publications concentrated in Statistical and Nonlinear Physics.

The scientist's work intersects multiple subfields and topics, including:

  • Statistical and Nonlinear Physics
  • Sociology and Political Science
  • Computer Networks and Communications
  • Economics and Econometrics
  • Electrical and Electronic Engineering

  • Opinion Dynamics and Social Influence
  • Complex Network Analysis Techniques
  • Evolutionary Game Theory and Cooperation
  • Misinformation and Its Impacts
  • Topological and Geometric Data Analysis
  • Complex Systems and Time Series Analysis
  • Opportunistic and Delay-Tolerant Networks

Their research contributions are documented in various publication venues, with multiple articles in the following:

  • arXiv (Cornell University)
  • Physical Review E
  • Scientific Reports
  • Physica A Statistical Mechanics and its Applications
  • Big Data & Society

Recent notable papers include:

  • "Countering misinformation: A multidisciplinary approach," 2021, Big Data & Society
  • "Homophily Based on Few Attributes Can Impede Structural Balance," 2020, Physical Review Letters
  • "Optimizing sensors placement in complex networks for localization of hidden signal source: A review," 2020, Future Generation Computer Systems
  • "A calibrated measure to compare fluctuations of different entities across timescales," 2020, Scientific Reports
  • "The Ising model celebrates a century of interdisciplinary contributions," 2024, npj Complexity

The scientist has collaborated frequently with several co-authors, including:

  • Krzysztof Suchecki
  • Robert Paluch
  • Bolesław K. Szymański
  • Łukasz G. Gajewski
  • Piotr J. Górski

Janusz A. Hołyst's research covers complex network analysis and opinion dynamics, integrating interdisciplinary approaches from both physics and social sciences. This work spans theoretical models, computational methods, and practical applications related to misinformation, evolutionary games, and network structures.

Best Publications

  • Statistical analysis of 22 public transport networks in Poland

    Julian Sienkiewicz;Janusz A. Hołyst

  • Average path length in random networks.

    Agata Fronczak;Piotr Fronczak;Janusz A. Hołyst

  • Collective emotions online and their influence on community life.

    Anna Chmiel;Julian Sienkiewicz;Mike Thelwall;Georgios Paltoglou

  • Ferromagnetic phase transition in Barabási-Albert networks

    Agata Aleksiejuk;Janusz A. Hołyst;Dietrich Stauffer

  • Negative emotions boost user activity at BBC forum

    Anna Chmiel;Pawel Sobkowicz;Julian Sienkiewicz;Georgios Paltoglou

  • Social Impact Models of Opinion Dynamics

    Janusz A. Hołyst;Krzysztof Kacperski;Frank Schweitzer

  • Chaos control in economical model by time-delayed feedback method

    Janusz A Hołyst;Krzysztof Urbanowicz

  • HOW INDIVIDUALS LEARN TO TAKE TURNS: EMERGENCE OF ALTERNATING COOPERATION IN A CONGESTION GAME AND THE PRISONER'S DILEMMA

    Dirk Helbing;Hans-Ulrich Stark;Janusz A. Holyst

  • Mean-field theory for clustering coefficients in Barabási-Albert networks

    Agata Fronczak;Piotr Fronczak;Janusz A. Hołyst

  • Observations of deterministic chaos in financial time series by recurrence plots, can one control chaotic economy?

    J.A. Hołyst;M. Żebrowska;K. Urbanowicz

  • Optimizing of recurrence plots for noise reduction.

    Lorenzo Matassini;Holger Kantz;Janusz Hołyst;Rainer Hegger

  • Modeling defaults of companies in multi-stage supply chain networks

    Kamil J. Mizgier;Stephan M. Wagner;Janusz A. Holyst

  • Majority model on a network with communities.

    R Lambiotte;M Ausloos;J A Hołyst

  • Higher order clustering coefficients in Barabasi-Albert networks

    Agata Fronczak;Janusz A Hołyst;Maciej Jedynak;Julian Sienkiewicz

  • Limits of time-delayed feedback control

    Wolfram Just;Ekkehard Reibold;Hartmut Benner;Krzysztof Kacperski;Krzysztof Kacperski;Krzysztof Kacperski

  • Stochastic resonance as a model for financial market crashes and bubbles

    A. Krawiecki;A. Krawiecki;J.A. Hołyst;J.A. Hołyst

  • How to control a chaotic economy

    Janusz A. Holyst;Janusz A. Holyst;Tilo Hagel;Günter Haag;Wolfgang Weidlich

  • Universal scaling of distances in complex networks.

    Janusz A. Hołyst;Julian Sienkiewicz;Agata Fronczak;Piotr Fronczak

  • Fast and accurate detection of spread source in large complex networks.

    Robert Paluch;Xiaoyan Lu;Krzysztof Suchecki;Bolesław K. Szymański;Bolesław K. Szymański

  • Phase Transitions and Hysteresis in a Cellular Automata-Based Model of Opinion Formation

    K. Kacperski;K. Kacperski;J. A. Holyst;J. A. Holyst;J. A. Holyst

  • Noise-level estimation of time series using coarse-grained entropy.

    Krzysztof Urbanowicz;Krzysztof Urbanowicz;Janusz A. Hołyst;Janusz A. Hołyst

  • Noise enhances information transfer in hierarchical networks

    Agnieszka Czaplicka;Janusz A. Holyst;Peter M. A. Sloot;Peter M. A. Sloot

Frequent Co-Authors

Mike Thelwall
Mike Thelwall University of Sheffield
Peter M. A. Sloot
Peter M. A. Sloot University of Amsterdam
Matthew O. Jackson
Matthew O. Jackson Stanford University
Boleslaw K. Szymanski
Boleslaw K. Szymanski Rensselaer Polytechnic Institute
Dirk Helbing
Dirk Helbing ETH Zurich
Werner Ebeling
Werner Ebeling Humboldt-Universität zu Berlin
Holger Kantz
Holger Kantz Max Planck Institute for the Physics of Complex Systems
Daniel Thalmann
Daniel Thalmann École Polytechnique Fédérale de Lausanne
Renaud Lambiotte
Renaud Lambiotte University of Oxford

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