481 citations
- University of MichiganUS4 papers
- University of New MexicoUS3 papers
- Centro Brasileiro de Pesquisas FísicasBR2 papers
- California Institute of TechnologyUS1 paper
- Chalmers University of TechnologySE1 paper
- Los Alamos National LaboratoryUS1 paper
- Massachusetts Institute of TechnologyUS1 paper
- MIT-Harvard Center for Ultracold AtomsUS1 paper
- Universidade Federal da BahiaBR1 paper
- University of BristolGB1 paper
- University of California, DavisUS1 paper
- University of California, Santa CruzUS1 paper
11 papers
Numerical indications of a q-generalised central limit theorem
Luis G. Moyano, Constantino Tsallis, Murray Gell-Mann
We provide numerical indications of the -generalised central limit theorem that has been conjectured (Tsallis 2004) in nonextensive statistical mechanics. We focus on binary…
On the Bias of Traceroute Sampling; or, Power-law Degree Distributions in Regular Graphs
Dimitris Achlioptas, Aaron Clauset, David Kempe +1
Understanding the structure of the Internet graph is a crucial step for building accurate network models and designing efficient algorithms for Internet applications. Yet, obtainin…
Threshold effects for two pathogens spreading on a network
M. E. J. Newman
Diseases spread through host populations over the networks of contacts between individuals, and a number of results about this process have been derived in recent years by exploiti…
For Distinguishing Conjugate Hidden Subgroups, the Pretty Good Measurement is as Good as it Gets
Cristopher Moore, Alexander Russell
Recently Bacon, Childs and van Dam showed that the ``pretty good measurement'' (PGM) is optimal for the Hidden Subgroup Problem on the dihedral group D_n in the case where the hidd…
Self-organized Criticality and Absorbing States: Lessons from the Ising Model
Gunnar Pruessner, Ole Peters
We investigate a suggested path to self-organized criticality. Originally, this path was devised to "generate criticality" in systems displaying an absorbing-state phase transition…
Shape and efficiency in spatial distribution networks
Michael T. Gastner, M. E. J. Newman
We study spatial networks that are designed to distribute or collect a commodity, such as gas pipelines or train tracks. We focus on the cost of a network, as represented by the to…