Discovering temporal communities from social network documents
D Zhou, I Councill, H Zha… - Seventh IEEE International …, 2007 - ieeexplore.ieee.org
This paper studies the discovery of communities from social network documents produced
over time, addressing the discovery of temporal trends in community memberships. We first …
over time, addressing the discovery of temporal trends in community memberships. We first …
Community detection in social networks
Online social networks have become a fundamental part of the global online experience.
They facilitate different modes of communication and social interactions, enabling …
They facilitate different modes of communication and social interactions, enabling …
Community detection in content-sharing social networks
Network structure and content in microblogging sites like Twitter influence each other---user
A on Twitter follows user B for the tweets that B posts on the network, and A may then re …
A on Twitter follows user B for the tweets that B posts on the network, and A may then re …
Discovering target groups in social networking sites: An effective method for maximizing joint influential power
With the tremendous popularity of social networking sites in this era of Web 2.0, increasingly
more users are contributing their comments and opinions about products, people …
more users are contributing their comments and opinions about products, people …
A semantic overlapping community detection algorithm based on field sampling
X Yu, J Yang, ZQ Xie - Expert Systems with Applications, 2015 - Elsevier
The traditional semantic social network (SSN) community detection algorithms need to
preset the number of the communities and could not detect the overlapping communities. To …
preset the number of the communities and could not detect the overlapping communities. To …
Temporally evolving community detection and prediction in content-centric networks
In this work, we consider the problem of combining link, content and temporal analysis for
community detection and prediction in evolving networks. Such temporal and content-rich …
community detection and prediction in evolving networks. Such temporal and content-rich …
[HTML][HTML] The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks
Abstract Models of networks play a major role in explaining and reproducing empirically
observed patterns. Suitable models can be used to randomize an observed network while …
observed patterns. Suitable models can be used to randomize an observed network while …
[PDF][PDF] A survey on using data mining techniques for online social network analysis
In this paper we take into consideration the concepts of using algorithmic and data mining
perspective of Online Social Networks (OSNs), with special emphasis on latest hot topics of …
perspective of Online Social Networks (OSNs), with special emphasis on latest hot topics of …
The author-topic-community model for author interest profiling and community discovery
In this paper, we propose a generative model named the author-topic-community (ATC)
model for representing a corpus of linked documents. The ATC model allows each author to …
model for representing a corpus of linked documents. The ATC model allows each author to …