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Mat'uvs Medo

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph2
  • cond-mat.stat-mech1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

most citedTime-invariant degree growth in preferential attachment network models

12 citations · 12 across the 2 of their papers we have counts for

collaborators

4 papers

cs.SI2020

Limits of PageRank-based ranking methods in sports data

Yuhao Zhou, Ruijie Wang, Yi-Cheng Zhang +2

While PageRank has been extensively used to rank sport tournament participants (teams or individuals), its superiority over simpler ranking methods has been never clearly demonstra…

physics.soc-ph2020

Contact network models matching the dynamics of the COVID-19 spreading

Matúš Medo

We study the epidemic spreading on spatial networks where the probability that two nodes are connected decays with their distance as a power law. As the exponent of the distance de…

cond-mat.stat-mech2020

History-dependent percolation on multiplex networks

Ming Li, Linyuan Lü, Youjin Deng +4

The structure of interconnected systems and its impact on the system dynamics is a much-studied cross-disciplinary topic. Although various critical phenomena have been found in dif…

physics.soc-ph2020★ 12 cited

Time-invariant degree growth in preferential attachment network models

Jun Sun, Matúš Medo, Steffen Staab

Preferential attachment drives the evolution of many complex networks. Its analytical studies mostly consider the simplest case of a network that grows uniformly in time despite th…

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