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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


  1. 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:

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