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C. Stegehuis

44 papers hereh-index 14746 citations54 works total

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

author position
  • sole author3
  • first author13
  • middle author6
  • last author22

Across the 44 of 44 papers where every author was matched, so the position is known.

fields
  • math.PR17
  • physics.soc-ph9
  • cs.NI4
  • cs.SI4
  • math.CO4
  • cs.DS2
same name
  • C. Stegehuis — 4 papers, h 1

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
20152025
most citedEpidemic spreading on complex networks with community structures

192 citations · 529 across the 38 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

math.PR2022

Scale-free graphs with many edges

Clara Stegehuis, Bert Zwart

We develop tail estimates for the number of edges in a Chung-Lu random graph with regularly varying weight distribution. Our results show that the most likely way to have an unusua…

physics.soc-ph2022★ 1 cited

Sharpest possible clustering bounds using robust random graph analysis

Judith Brugman, Johan S. H. van Leeuwaarden, Clara Stegehuis

Complex network theory crucially depends on the assumptions made about the degree distribution, while fitting degree distributions to network data is challenging, in particular for…

cs.NI2022

Beam-align: distributed user association for mmWave networks with multi-connectivity

Lotte Weedage, Clara Stegehuis, Suzan Bayhan

Since the spectrum below 6 GHz bands is insufficient to meet the high bandwidth requirements of 5G use cases, 5G networks expand their operation to mmWave bands. However, operation…

physics.soc-ph2022★ 19 cited

Detecting hyperbolic geometry in networks: why triangles are not enough

Riccardo Michielan, Nelly Litvak, Clara Stegehuis

In the past decade, geometric network models have received vast attention in the literature. These models formalize the natural idea that similar vertices are likely to connect. Be…

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