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20022017
most citedParameter estimation for power-law distributions by maximum likelihood methods

180 citations · 1.4k across the 38 of their papers we have counts for

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cond-mat.stat-mech2012★ 22 cited

Topological phase transition in a network model with preferential attachment and node removal

Heiko Bauke, Cristopher Moore, Jean-Baptiste Rouquier +1

Preferential attachment is a popular model of growing networks. We consider a generalized model with random node removal, and a combination of preferential and random attachment. U…

cond-mat.stat-mech2007★ 2 cited

Topological phase transition in complex networks

Heiko Bauke, David Sherrington

Preferential attachment is a central paradigm in the theory of complex networks. In this contribution we consider various generalizations of preferential attachment including for e…

cond-mat.stat-mech2007★ 1 cited

Local attachment in networks under churn

Heiko Bauke, David Sherrington

In this contribution we introduce local attachment as an universal network-joining protocol for peer-to-peer networks, social networks, or other kinds of networks. Based on this pr…

cond-mat.stat-mech2003★ 42 cited

Pseudo Random Coins Show More Heads Than Tails

Heiko Bauke, Stephan Mertens

Tossing a coin is the most elementary Monte Carlo experiment. In a computer the coin is replaced by a pseudo random number generator. It can be shown analytically and by exact enum…

cond-mat.stat-mech2003★ 22 cited

Entropy of Pseudo Random Number Generators

Stephan Mertens, Heiko Bauke

Since the work of Ferrenberg et al.[PRL 69, (1992)] some pseudo random number generators are known to yield wrong results in cluster Monte Carlo simulations. In this contribution t…