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Special Issue on Community Structure in Networks 2021

© T. Nguyen, B. K. Szymanski, Rensselaer Polytechnic InstituteCommunity structure is one of the most relevant features encountered in numerous real-world applications of networked systems. 

Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few years to characterize, model, and analyze communities, more investigations are needed in order to better understand the impact of their structure and dynamics on networked systems. 

The primary goal of this collection is to showcase the cutting edge research advances on community structures in networks, in order to provide a landscape of research progresses and application potentials in related areas.

Lead guest editor
Gergely Palla, Eötvös University, Hungary, pallag@hal.elte.hu

Guest editors 
Hocine Cherifi, Université de Bourgogne, France, hocine.cherifi@u-bourgogne.fr
Boleslaw K. Szymanski, Rensselaer Polytechnic Institute, Troy, USA, szymab@rpi.edu


  4. Human mobility analysis plays a crucial role in urban analysis, city planning, epidemic modeling, and even understanding neighborhood effects on individuals’ health. Often, these studies model human mobility i...

    Authors: Saket Gurukar, Bethany Boettner, Christopher Browning, Catherine Calder and Srinivasan Parthasarathy
    Citation: Applied Network Science 2022 7:27
    Content type: Research Published on:

  5. As a relatively new field, network neuroscience has tended to focus on aggregate behaviours of the brain averaged over many successive experiments or over long recordings in order to construct robust brain mod...

    Authors: James B. Wilsenach, Catherine E. Warnaby, Charlotte M. Deane and Gesine D. Reinert
    Citation: Applied Network Science 2022 7:15
    Content type: Research Published on:

  6. Twitter data exhibits several dimensions worth exploring: a network dimension in the form of links between the users, textual content of the tweets posted, and a temporal dimension as the time-stamped sequence...

    Authors: Bojan Evkoski, Nikola Ljubešić, Andraž Pelicon, Igor Mozetič and Petra Kralj Novak
    Citation: Applied Network Science 2021 6:96
    Content type: Research Published on: