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Journal articleMassobrio P, de Arcangelis L, Pasquale V, et al., 2015, , Frontiers in Systems Neuroscience, Vol: 9, ISSN: 1662-5137
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Conference paperPiovani D, Grujic J, Jensen HJ, 2015, , 4th International Conference on Mathematical Modeling in Physical Sciences (IC-MSquare), Publisher: IOP PUBLISHING LTD, ISSN: 1742-6588
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Conference paperGoldberg SR, Anthony H, Evans TS, 2015,
Do We Need Global and Local Knowledge of the Citation Network?
, 15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics, Publisher: INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, Pages: 282-283, ISSN: 2175-1935 -
Conference paperClough JR, Evans TS, 2015,
Time & Citation Networks
, 15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics, Publisher: INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, Pages: 1073-1078, ISSN: 2175-1935 -
Conference paperLoach TV, Evans TS, 2015,
Ranking Journals Using Altmetrics
, 15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics, Publisher: INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, Pages: 89-94, ISSN: 2175-1935- Cite
- Citations: 3
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Journal articleJensen HJ, Wan X, Cr眉ts B, 2014, , PLOS One, Vol: 9, ISSN: 1932-6203
We present an EEG study of two music improvisation experiments. Professional musicians with high level of improvisation skills were asked to perform music either according to notes (composed music) or in improvisation. Each piece of music was performed in two different modes: strict mode and “let-go” mode. Synchronized EEG data was measured from both musicians and listeners. We used one of the most reliable causality measures: conditional Mutual Information from Mixed Embedding (MIME), to analyze directed correlations between different EEG channels, which was combined with network theory to construct both intra-brain and cross-brain networks. Differences were identified in intra-brain neural networks between composed music and improvisation and between strict mode and “let-go” mode. Particular brain regions such as frontal, parietal and temporal regions were found to play a key role in differentiating the brain activities between different playing conditions. By comparing the level of degree centralities in intra-brain neural networks, we found a difference between the response of musicians and the listeners when comparing the different playing conditions.
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Journal articleGastner MT, Markou N, Pruessner G, et al., 2014, , PLOS One, Vol: 9, ISSN: 1932-6203
Statistical physicists have become interested in models of collective social behaviorsuch as opinion formation, where individuals change their inherently preferredopinion if their friends disagree. Real preferences often depend on regional culturaldifferences, which we model here as a spatial gradient g in the initial opinion. Thegradient does not only add reality to the model. It can also reveal that opinionclusters in two dimensions are typically in the standard (i.e., independent)percolation universality class, thus settling a recent controversy about a nonconsensusmodel. However, using analytical and numerical tools, we also present amodel where the width of the transition between opinions scales !g{1=4, not!g{4=7 as in independent percolation, and the cluster size distribution isconsistent with first-order percolation.
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Journal articlePruessner G, Cheang S, Jensen HJ, 2014, , Physica A: Statistical Mechanics and its Applications, Vol: 420, Pages: 8-13, ISSN: 1873-2119
Synchronization is a phenomenon observed in all of the living and in much of the nonliving world, for example in the heart beat, Huygens’ clocks, the flashing of fireflies and the clapping of audiences. Depending on the number of degrees of freedom involved, different mathematical approaches have been used to describe it, most prominently integrateand-fire oscillators and the Kuramoto model of coupled oscillators. In the present work, we study a very simple and general system of smoothly evolving oscillators, which continue to interact even in the synchronized state. We find that under very general circumstances, synchronization generically occurs in the presence of a (small) time delay. Strikingly, the synchronization time is inversely proportional to the time delay.
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SoftwareEvans T, Lambiotte R, 2014,
LineGraphCreator
This is code to implement our weighted line graphs, i.e. graphs whose nodes are the edges of the original graph which aslo capture the correct dynamical features of the original network. Weighted line graphs provide an alternative, valuable representation of the system's topology, and have important applications in community detection. The usual node partition of a line graph naturally leads to an edge partition of the original graph. This identification allows us to use traditional partitioning methods in order to address the long-standing problem of the detection of overlapping communities.Here we provide our simple C++ line graph code which takes in a graph as an edge list and outputs different types of line graph as another edge list. An executable suitable for most Windows machines is included as is basic documentation. This code been used successfully on a graph which produced 5.5e8 stubs in its line graph, though a special machine was used for this as it needs more than 4Gb of RAM memory. On a 4Gb machine a line graph with 4.5e7 stubs was created.We also have java based code which is part of a much bigger package.Discussions, papers and slides from talks:-Paper: Line Graphs, Link Partitions and Overlapping Communities, Phys.Rev.E 80 (2009) 016105 [arXiv:0903.2181].Conference Paper: Overlapping Communities, Link Partitions and Line Graphs, a very slightly altered version forECCS09.Slides from talk What am I? Finding Communities in Networks Using Line Graphs given at University of Warwick Complexity Forum, 28thOctober 2009.Slides from talk Overlapping Communities, Edge Partitions and Line Graphs given at ECCS09 (University of Warwick, 22nd September 2009).Paper: Edge Partitions and Overlapping Communities in Complex Networks, Eur. Phys. J. B 2010, 77, 265–272 [arXiv:0912.4389]. This covers in more detail the case where one is interested in the different line graphs of a weighted graph.Input used for the Les Miserable network and the correpsonding outputs
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Conference paperEvans T, 2014,
The Connected Past London 2014
A collection of material associated with The Connected Past London 2014, a one and a half day multi-disciplinary meeting held at Imperial College on the 8th and 9th of September, 2014 and attended by nearly fifty researchers. It aims to explore how concepts and techniques from network- and complexity science can be used to study archaeological and historical data. It is part of a series of meetings organised by The Connected Past team.Slides from most (but not all) talks are provided. Most talks were also recorded but the videos are yet to be made available.
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