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D. Peng

4 papers hereh-index 6207 citations12 works total

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

author position
  • first author2
  • middle author2

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

fields
  • physics.soc-ph3
  • cond-mat.stat-mech1
same name
  • D. Peng — 9 papers, h 9
  • D. Peng — 7 papers, h 2
  • D. Peng — 2 papers, h 3
  • D. Peng — 2 papers, h 3
  • D. Peng — 1 paper, h 40
  • D. Peng — 1 paper, h 26

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
20142025
most citedFinite-size scaling of percolation on scale-free networks

3 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cond-mat.stat-mech2025★ 3 cited

Finite-size scaling of percolation on scale-free networks

Xuewei Zhao, Liwenying Yang, Dan Peng +2

Critical phenomena on scale-free networks with a degree distribution pk​∼k−λ exhibit rich finite-size effects due to its structural heterogeneity. We systematically study…

physics.soc-ph2020★ 1 cited

Organization of cooperation in fractal structures

Dan Peng, Ming Li

It is known that the small-world structure constitutes sufficient conditions to sustain cooperation and thus enhances cooperation. On the contrary, the network with a very long ave…

physics.soc-ph2016

Roles of the spreading scope and effectiveness in spreading dynamics on multiplex networks

Ming Li, Run-Ran Liu, Dan Peng +2

Comparing with single networks, the multiplex networks bring two main effects on the spreading process among individuals. First, the pathogen or information can be transmitted to m…

physics.soc-ph2014

Punctuated equilibrium dynamics in human communications

Dan Peng, Xiao-Pu Han, Zong-Wen Wei +1

A minimal model based on individual interactions is proposed to study the non-Poisson statistical properties of human behavior: individuals in the system interact with their neighb…

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