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researcher

Tomasz P. Michalak

22 papers hereh-index 343.8k citations165 works total

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

author position
  • first author1
  • middle author18
  • last author3

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.SI8
  • cs.GT6
  • cs.AI4
  • cs.CR2
  • cs.LG1
  • cs.MA1
same name
  • Tomasz P. Michalak — 4 papers, h 2
  • Tomasz P. Michalak — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122023
most citedHiding Individuals and Communities in a Social Network

209 citations · 409 across the 19 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.SI2019★ 1 cited

Monte Carlo Techniques for Approximating the Myerson Value -- Theoretical and Empirical Analysis

Mateusz K. Tarkowski, Szymon Matejczyk, Tomasz P. Michalak +1

Myerson first introduced graph-restricted games in order to model the interaction of cooperative players with an underlying communication network. A dedicated solution concept -- t…

cs.SI2019

A Game-Theoretic Algorithm for Link Prediction

Mateusz Tarkowski, Tomasz Michalak, Michael Wooldridge

Predicting edges in networks is a key problem in social network analysis and involves reasoning about the relationships between nodes based on the structural properties of a networ…

cs.SI2019

Hiding in Multilayer Networks

Marcin Waniek, Tomasz P. Michalak, Talal Rahwan

Multilayer networks allow for modeling complex relationships, where individuals are embedded in multiple social networks at the same time. Given the ubiquity of such relationships,…

cs.AI2019

Adversarial Robustness of Similarity-Based Link Prediction

Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik

Link prediction is one of the fundamental problems in social network analysis. A common set of techniques for link prediction rely on similarity metrics which use the topology of t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.