Dynamic social community detection and its applications

NP Nguyen, TN Dinh, Y Shen, MT Thai - PloS one, 2014 - journals.plos.org
Community structure is one of the most commonly observed features of Online Social
Networks (OSNs) in reality. The knowledge of this feature is of great advantage: it not only …

Adaptive algorithms for detecting community structure in dynamic social networks

NP Nguyen, TN Dinh, Y Xuan… - 2011 Proceedings IEEE …, 2011 - ieeexplore.ieee.org
Social networks exhibit a very special property: community structure. Understanding the
network community structure is of great advantages. It not only provides helpful information …

Overlapping communities in dynamic networks: their detection and mobile applications

NP Nguyen, TN Dinh, S Tokala, MT Thai - Proceedings of the 17th …, 2011 - dl.acm.org
Many practical problems on Mobile networking, such as routing strategies in MANETs,
sensor reprogramming in WSNs and worm containment in online social networks (OSNs) …

Detecting the evolving community structure in dynamic social networks

F Liu, J Wu, S Xue, C Zhou, J Yang, Q Sheng - World Wide Web, 2020 - Springer
Identifying the evolving community structure of social networks has recently drawn
increasing attention. Evolutionary clustering, previously proposed to detect the evolution of …

HOCTracker: Tracking the evolution of hierarchical and overlapping communities in dynamic social networks

SY Bhat, M Abulaish - IEEE Transactions on Knowledge and …, 2014 - ieeexplore.ieee.org
In this paper, we propose a unified framework, HOCTracker, for tracking the evolution of
hierarchical and overlapping communities in online social networks. Unlike most of the …

Evolution of communities in dynamic social networks: An efficient map-based approach

KK Mohammadmosaferi, H Naderi - Expert Systems with Applications, 2020 - Elsevier
The expanded domain of expert system applications has risen the impact of modeling and
analysis of community evolution in social networks as an important part of the decision …

DynaMo: Dynamic community detection by incrementally maximizing modularity

D Zhuang, JM Chang, M Li - IEEE Transactions on Knowledge …, 2019 - ieeexplore.ieee.org
Community detection is of great importance for online social network analysis. The volume,
variety and velocity of data generated by today's online social networks are advancing the …

Evolutionary community detection in dynamic social networks

F Liu, J Wu, C Zhou, J Yang - 2019 International Joint …, 2019 - ieeexplore.ieee.org
Evolutionary clustering is a way of detecting the evolving patterns of communities in dynamic
social networks. In principle, the detection process seeks to simultaneously maximize …

Dynamic community detection in evolving networks using locality modularity optimization

M Cordeiro, RP Sarmento, J Gama - Social Network Analysis and Mining, 2016 - Springer
The amount and the variety of data generated by today's online social and
telecommunication network services are changing the way researchers analyze social …

Feature identification for predicting community evolution in dynamic social networks

N Ilhan, ŞG Öğüdücü - Engineering Applications of Artificial Intelligence, 2016 - Elsevier
In parallel with the increasing popularity of commercial social-networking systems, the
scales of such systems have grown notably, now with sizes ranging from hundreds of …