Temporal Changes in Connection Patterns of an Email-Based Social Network

Authors:
Krzysztof Juszczyszyn;Przemyslaw Kazienko;Katarzyna Musial;Bogdan Gabrys
Affiliations:
-;-;-;-
Venue:
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2008

Citing 4
Cited 2

Efficient sampling algorithm for estimating subgraph concentrations and detecting network motifs

Bioinformatics
FANMOD: a tool for fast network motif detection

Bioinformatics
Efficient Detection of Network Motifs

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Local Topology of Social Network Based on Motif Analysis

KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II

Structural Changes in an Email-Based Social Network

KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Network node label acquisition and tracking

EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence

Quantified Score

Hi-index	0.01

Visualization

Abstract

Network motifs are small subgraphs that reflect local network topology and were shown to be useful for creating profiles that reveal several properties of the network. Analysis of three-node motifs (triads) was used in this paper to track the temporal changes in the structure of large social network derived from email communication between the employees of Wroclaw University of Technology.