J. Bagrow

Publications
Influence

Link communities reveal multiscale complexity in networks

Yong-Yeol Ahn, J. Bagrow, S. Lehmann
Computer Science, Physics
Nature
18 March 2009

We reinvent communities as groups of links rather than nodes and show that this unorthodox approach successfully reconciles the antagonistic organizing principles of overlapping communities and hierarchy. Expand

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Flavor network and the principles of food pairing

Yong-Yeol Ahn, S. Ahnert, J. Bagrow, Albert-László Barabási
Business, Computer Science
Scientific reports
25 March 2011

The cultural diversity of culinary practice, as illustrated by the variety of regional cuisines, raises the question of whether there are general patterns that determine the ingredient combinations used in food today or principles that transcend individual tastes and recipes. Expand

Evaluating local community methods in networks

J. Bagrow
Computer Science, Physics
26 June 2007

We present a benchmarking procedure that is unambiguous and specific to local community finding methods, allowing one to compare the accuracy of various methods. Expand

Collective Response of Human Populations to Large-Scale Emergencies

J. Bagrow, D. Wang, Albert-László Barabási
Geography, Computer Science
PloS one
15 March 2010

We identified real-time changes in communication and mobility patterns in the vicinity of eight emergencies, such as bomb attacks and earthquakes, comparing these with eight non-emergencies, like concerts and sporting events. Expand

Supplementary Information Link Communities Reveal Multi-Scale Complexity in Networks by

Yong-Yeol Ahn, J. Bagrow, S. Lehmann
Computer Science
2010

2 Methods 3 2.1 Partitioning the dendrogram: partition density 4 2.2 Modularity optimization 5 2.3 Other methods . Expand

Human language reveals a universal positivity bias

P. Dodds, E. Clark, +11 authors C. Danforth
Psychology, Medicine
Proceedings of the National Academy of Sciences
15 June 2014

We present evidence of a deep imprint of human sociality in language, observing that (i) the words of natural human language possess a universal positivity bias, (ii) the estimated emotional content of words is consistent between languages under translation. Expand

Communities and bottlenecks: trees and treelike networks have high modularity.

J. Bagrow
Mathematics, Medicine
Physical review. E, Statistical, nonlinear, and…
3 January 2012

We show that trees appear very modular, yet connected trees are maximally sparse and possess no density fluctuations, going against the tenet that communities are unusually dense subgraphs. Expand

An information-theoretic, all-scales approach to comparing networks

J. Bagrow, E. Bollt
Computer Science, Mathematics
Appl. Netw. Sci.
10 April 2018

We introduce a new measure to compare networks, the Network Portrait Divergence, that is mathematically principled, incorporates the topological characteristics of networks at all structural scales, and is applicable to all types of networks. Expand

Robustness of skeletons and salient features in networks

L. Shekhtman, J. Bagrow, D. Brockmann
Physics, Computer Science
J. Complex Networks
15 September 2013

We study how the salient features extracted by two popular network extraction methods change when networks are perturbed, either by deleting nodes or links. Expand

Erratum: Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence

M. Korkali, J. Veneman, B. Tivnan, J. Bagrow, P. Hines
Computer Science, Medicine
Scientific reports
24 October 2014

In order to quantify the risks and benefits of network interdependency, models are needed that at least approximately represent the potential for cascading within a power grid, as well as between power and communication networks. Expand

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