Zsuzsa Danku
Identifiers
- name variant Zsuzsa Danku 0.60 · backfill
Papers (12)
- Avalanche dynamics in higher dimensional fiber bundle models cond-mat.dis-nn · 2019 · author #1
- Knowing the past improves cooperation in the future physics.soc-ph · 2019 · author #1
- Dynamic-sensitive cooperation in the presence of multiple strategy updating rules physics.soc-ph · 2018 · author #2
- Imitate or innovate: competition of strategy updating attitudes in spatial social dilemma games physics.soc-ph · 2018 · author #1
- Size scaling of failure strength with fat-tailed disorder in a fiber bundle model cond-mat.dis-nn · 2017 · author #2
- Fractal frontiers of bursts and cracks in a fiber bundle model of creep rupture cond-mat.dis-nn · 2015 · author #1
- Record breaking bursts in a fiber bundle model of creep rupture cond-mat.dis-nn · 2015 · author #1
- Statistical features of magnetic noise in mixed-type impact fracture cond-mat.dis-nn · 2015 · author #1
- Creep rupture as a non-homogeneous Poissonian process cond-mat.dis-nn · 2013 · author #1
- Temporal and spacial evolution of bursts in creep rupture cond-mat.dis-nn · 2013 · author #1
- Making new connections towards cooperation in the prisoner's dilemma game physics.soc-ph · 2008 · author #3
- Towards effective payoffs in the prisoner's dilemma game on scale-free networks physics.bio-ph · 2007 · author #3
Mentions
- 1503.03774 #1 · backfill · confidence 0.70 Zsuzsa Danku
- 1503.02223 #1 · backfill · confidence 0.70 Zsuzsa Danku
- 1310.4999 #1 · backfill · confidence 0.70 Zsuzsa Danku
- 1310.1477 #1 · backfill · confidence 0.70 Zsuzsa Danku
- 0811.4372 #3 · backfill · confidence 0.70 Zsuzsa Danku
- 0711.4028 #3 · backfill · confidence 0.70 Zsuzsa Danku
Frequent Coauthors
- Ferenc Kun 6 shared papers
- Attila Szolnoki 5 shared papers
- Matjaz Perc 3 shared papers
- Ferenc Kun (University of Debrecen) 1 shared papers
- Geza Odor 1 shared papers
- Gyongyver B. Lenkey 1 shared papers
- Hans J. Herrmann 1 shared papers
- Viktoria Kadar 1 shared papers
- Zhen Wang 1 shared papers