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Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
A generalized framework of network quality functions was developed that allowed us to study the community structure of arbitrary multislice networks, which are combinations of individual networks coupled through links that connect each node in one network slice to itself in other slices. Expand
Structure and tie strengths in mobile communication networks
It is found that, when it comes to information diffusion, weak and strong ties are both simultaneously ineffective, and this coupling significantly slows the diffusion process, resulting in dynamic trapping of information in communities. Expand
Intensity and coherence of motifs in weighted complex networks.
This paper applies motif scores and clustering coefficient to financial and metabolic networks and finds that inclusion of weights may considerably modify the conclusions obtained from the study of unweighted characteristics. Expand
Understanding the Demographics of Twitter Users
This paper develops techniques that allow it to compare the Twitter population to the U.S. population along three axes (geography, gender, and race/ethnicity), and finds that theTwitter population is a highly non-uniform sample of the population. Expand
Dynamics of market correlations: taxonomy and portfolio analysis.
The time dependence of the recently introduced minimum spanning tree description of correlations between stocks, called the "asset tree", has been studied in order to reflect the financial market taxonomy and the basic structure of the tree topology is very robust with respect to time. Expand
Communities in Networks
To help ease newcomers into the field, a guide to available methodology and open problems is provided, and why scientists from diverse backgrounds are interested in community detection is discussed. Expand
Analysis of a large-scale weighted network of one-to-one human communication
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 societal level. We assignExpand
Generalizations of the clustering coefficient to weighted complex networks.
A comparative study of the several suggestions of the clustering coefficient, which is one of the central characteristics in the complex network theory, is presented. Expand
A Model For Social Networks
Social networks are organized into communities with dense internal connections, giving rise to high values of the clustering coefficient. In addition, these networks have been observed to beExpand
Dynamic asset trees and Black Monday
The minimum spanning tree, based on the concept of ultrametricity, is constructed from the correlation matrix of stock returns. The dynamics of this asset tree can be characterised by its normalisedExpand