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Dynamic reconfiguration of human brain networks during learning
This work investigates the role of modularity in human learning by identifying dynamic changes of modular organization spanning multiple temporal scales and develops a general statistical framework for the identification of modular architectures in evolving systems. Expand
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
Multilayer networks
The history of multilayer networks (and related concepts) is discussed and the exploding body of work on such networks is reviewed and attempts to generalize single-layer-network diagnostics to multilayers networks are reviewed. Expand
Social Structure of Facebook Networks
The social structure of Facebook “friendship” networks at one hundred American colleges and universities at a single point in time is studied, finding for example that common high school is more important to the social organization of large institutions and that the importance of common major varies significantly between institutions. Expand
Comparing Community Structure to Characteristics in Online Collegiate Social Networks
This study examines the importance of common high school affiliation at large state universities and the varying degrees of influence that common major can have on the social structure at different universities, indicating that university networks typically have multiple organizing factors rather than a single dominant one. Expand
Robust Detection of Dynamic Community Structure in Networks
This work considers the use of statistical null models for facilitating the principled identification of structural modules in semi-decomposable systems and develops a method to construct representative partitions that uses a null model to correct for statistical noise in sets of partitions. 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
Mathematical Formulation of Multilayer Networks
A network representation is useful for describing the structure of a large variety of complex systems. However, most real and engineered systems have multiple subsystems and layers of connectivity,Expand
Task-Based Core-Periphery Organization of Human Brain Dynamics
The results demonstrate that core-periphery organization provides an insightful way to understand how putative functional modules are linked, which enables the prediction of fundamental human capacities, including the production of complex goal-directed behavior. Expand
A roadmap for the computation of persistent homology
A friendly introduction to PH is given, the pipeline for the computation of PH is navigated with an eye towards applications, and a range of synthetic and real-world data sets are used to evaluate currently available open-source implementations for the computations of PH. Expand