Petter Holme spends much of his time researching Complex network, Artificial intelligence, The Internet, Network topology and Topology. His work carried out in the field of Complex network brings together such families of science as Discrete mathematics, Network dynamics, Social network, Probability and statistics and Cluster analysis. He has included themes like Exploit and Machine learning in his Artificial intelligence study.
His The Internet research is multidisciplinary, relying on both Infectious disease, Theoretical computer science and Bioinformatics. His Network topology study combines topics in areas such as Sex work, Type, Simulation and Transmission. His Topology research includes themes of Betweenness centrality and Centrality.
His primary areas of study are Theoretical computer science, Complex network, Degree distribution, Network structure and Topology. His Theoretical computer science research is multidisciplinary, incorporating perspectives in Graph, The Internet, ENCODE and Cluster analysis. He interconnects Vertex, Network model and Network theory in the investigation of issues within Complex network.
His Network model study combines topics from a wide range of disciplines, such as Statistical physics, Network packet and Vertex. His biological study spans a wide range of topics, including Structure and Biological system. His studies deal with areas such as Power, Network topology, Betweenness centrality and Topology as well as Topology.
The scientist’s investigation covers issues in Theoretical computer science, Set, Structure, Network structure and Econometrics. His Theoretical computer science study deals with Ranking intersecting with Node and Greedy algorithm. His Structure research incorporates elements of Affect, Law and economics and Code.
When carried out as part of a general Econometrics research project, his work on Threshold model is frequently linked to work in Distribution, therefore connecting diverse disciplines of study. His Social network research is multidisciplinary, incorporating elements of Computer security and Focus. The various areas that Petter Holme examines in his Convergence study include Timestamp and Network science, Complex network.
His primary scientific interests are in Structure, Degree, Theoretical computer science, Node and Econometrics. Petter Holme combines subjects such as Affect, Scale and Law and economics with his study of Structure. His Theoretical computer science research integrates issues from Graph theory, Game theory, Random graph and Reputation.
His Node study integrates concerns from other disciplines, such as Greedy algorithm and Data set. His study in the field of Threshold model also crosses realms of Distribution. His studies deal with areas such as Network topology, Network theory and Complex network as well as Network model.
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Temporal Networks
Petter Holme;Jari Saramäki.
arXiv: Adaptation and Self-Organizing Systems (2011)
Attack vulnerability of complex networks
Petter Holme;Beom Jun Kim;Chang No Yoon;Seung Kee Han.
Physical Review E (2002)
Growing scale-free networks with tunable clustering.
Petter Holme;Beom Jun Kim.
Physical Review E (2002)
Vertex similarity in networks
Elizabeth Leicht;Petter Holme;Mark Newman.
Physical Review E (2006)
Nonequilibrium phase transition in the coevolution of networks and opinions.
Petter Holme;Petter Holme;M. E. J. Newman.
Physical Review E (2006)
Modern temporal network theory: a colloquium
Petter Holme.
European Physical Journal B (2015)
Subnetwork hierarchies of biochemical pathways
Petter Holme;Mikael Huss;Hawoong Jeong.
Bioinformatics (2003)
Predictability of population displacement after the 2010 Haiti earthquake
Xin Lu;Linus Bengtsson;Petter Holme.
Proceedings of the National Academy of Sciences of the United States of America (2012)
Structure and time evolution of an Internet dating community
Petter Holme;Christofer R. Edling;Fredrik Liljeros;Fredrik Liljeros.
Social Networks (2004)
Edge overload breakdown in evolving networks
Petter Holme.
Physical Review E (2002)
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