Metrics for community analysis: A survey

T Chakraborty, A Dalmia, A Mukherjee… - ACM Computing Surveys …, 2017 - dl.acm.org
Detecting and analyzing dense groups or communities from social and information networks
has attracted immense attention over the last decade due to its enormous applicability in …

[图书][B] Modern algorithms of cluster analysis

ST Wierzchoń, MA Kłopotek - 2018 - Springer
This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …

Community-based greedy algorithm for mining top-k influential nodes in mobile social networks

Y Wang, G Cong, G Song, K Xie - Proceedings of the 16th ACM SIGKDD …, 2010 - dl.acm.org
With the proliferation of mobile devices and wireless technologies, mobile social network
systems are increasingly available. A mobile social network plays an essential role as the …

Pegasus: A peta-scale graph mining system implementation and observations

U Kang, CE Tsourakakis… - 2009 Ninth IEEE …, 2009 - ieeexplore.ieee.org
In this paper, we describe PEGASUS, an open source peta graph mining library which
performs typical graph mining tasks such as computing the diameter of the graph, computing …

Detecting communities and their evolutions in dynamic social networks—a Bayesian approach

T Yang, Y Chi, S Zhu, Y Gong, R Jin - Machine learning, 2011 - Springer
Although a large body of work is devoted to finding communities in static social networks,
only a few studies examined the dynamics of communities in evolving social networks. In …

[HTML][HTML] Considering weights in real social networks: A review

M Bellingeri, D Bevacqua, F Sartori, M Turchetto… - Frontiers in …, 2023 - frontiersin.org
Network science offers powerful tools to model complex social systems. Most social network
science research focused on topological networks by simply considering the binary state of …

Pegasus: mining peta-scale graphs

U Kang, CE Tsourakakis, C Faloutsos - Knowledge and information …, 2011 - Springer
In this paper, we describe P e G a S us, an open source Peta Graph Mining library which
performs typical graph mining tasks such as computing the diameter of the graph, computing …

Influence maximization on large-scale mobile social network: a divide-and-conquer method

G Song, X Zhou, Y Wang, K Xie - IEEE Transactions on Parallel …, 2014 - ieeexplore.ieee.org
With the proliferation of mobile devices and wireless technologies, mobile social network
systems are increasingly available. A mobile social network plays an essential role as the …

[PDF][PDF] Top leaders community detection approach in information networks

RR Khorasgani, J Chen, OR Zaiane - Proceedings of the 4th Workshop on …, 2010 - Citeseer
Much of the data of scientific interest, particularly when independence of data is not
assumed, can be represented in the form of information networks where data nodes are …

Detecting community kernels in large social networks

L Wang, T Lou, J Tang… - 2011 IEEE 11th …, 2011 - ieeexplore.ieee.org
In many social networks, there exist two types of users that exhibit different influence and
different behavior. For instance, statistics have shown that less than 1% of the Twitter users …