activity
20032009
most citedStructure and tie strengths in mobile communication networks

2k citations · 2.4k across the 5 of their papers we have counts for

collaborators

7 papers

q-fin.TR200929 cited

Studies of the limit order book around large price changes

Bence Toth, Janos Kertesz, J. Doyne Farmer

We study the dynamics of the limit order book of liquid stocks after experiencing large intra-day price changes. In the data we find large variations in several microscopical measu…

physics.soc-ph2007346 cited

Analysis of a large-scale weighted network of one-to-one human communication

Jukka-Pekka Onnela, Jari Saramaki, Jorkki Hyvonen +5

We construct a connected network of 3.9 million nodes from mobile phone call records, which can be regarded as a proxy for the underlying human communication network at the societa…

physics.soc-ph20062k cited

Structure and tie strengths in mobile communication networks

J. -P. Onnela, J. Saramaki, J. Hyvonen +5

Electronic databases, from phone to emails logs, currently provide detailed records of human communication patterns, offering novel avenues to map and explore the structure of soci…

physics.soc-ph200612 cited

Spectrum, Intensity and Coherence in Weighted Networks of a Financial Market

G. Tibely, J. -P. Onnela, J. Saramaki +2

We construct a correlation matrix based financial network for a set of New York Stock Exchange (NYSE) traded stocks with stocks corresponding to nodes and the links between them ad…

physics.bio-ph2004

Spatial snowdrift game with myopic agents

Marko Sysi-Aho, Jari Saramaki, Janos Kertesz +1

We have studied a spatially extended snowdrift game, in which the players are located on the sites of two-dimensional square lattices and repeatedly have to choose one of the two s…

cond-mat.stat-mech2003

Clustering and information in correlation based financial networks

J. -P. Onnela, K. Kaski, J. Kertesz

Networks of companies can be constructed by using return correlations. A crucial issue in this approach is to select the relevant correlations from the correlation matrix. In order…