Bibliography
205
[80] A.J. Seary. MultiNet: An interactive program for analysing and visualizing
complex networks. PhD thesis, Faculty of Applied Science, Simon Fraser
University, 2005.
[81] A.J. Seary and W.D. Richards. Spectral methods for analyzing and visualizing
networks: an introduction. In R. Breiger, K. Carley, and P. Pattison, editors,
National Research Council, Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers, pages 209–228. The National Academic
Press, 2003.
[82] J. Shang, L. Liu, X. Li, F. Xie, and C. Wu. Targeted revision: A learningbased approach for incremental community detection in dynamic networks.
Physica A: Statistical Mechanics and its Applications, 2015.
[83] J. Shang, L. Liu, F. Xie, Z. Chen, J. Miao, X. Fang, and C. Wu. A real-time
detecting algorithm for tracking community structure of dynamic networks.
In The 6th Workshop on Social Network Mining and Analysis co-held with
KDD (SNA-KDD12), 2012.
[84] J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):888–905, 2000.
[85] D.B. Skillicorn. Understanding Complex Datasets: Data Mining with Matrix
Decompositions. CRC Press, 2007.
[86] D.B. Skillicorn, F. Calderoni, and Q. Zheng. Inductive discovery of criminal group structure using spectral embedding. Information and Security: An
International Journal, 31:49–66, 2015.
[87] D.B. Skillicorn and Q. Zheng. Global similarity in social networks with typed
edges. In 2012 IEEE/ACM International Conference on Advances in Social
Networks Analysis and Mining (ASONAM), pages 79–85, August 2012.
[88] D.B. Skillicorn and Q. Zheng. Global structure in social networks with directed typed edges. In Social Networks: Analysis and Case Studies, pages
61–81. Springer, 2014.
[89] D.B. Skillicorn, Q. Zheng, and C. Morselli. Spectral embedding for dynamic
social networks. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pages 316–323.
ACM, 2013.
[90] D.B. Skillicorn, Q. Zheng, and C. Morselli. Modeling dynamic social networks using spectral embedding. Social Network Analysis and Mining,
4(1):1–14, 2014.
[91] D.A. Spielman and S.H. Teng. Spectral partitioning works: Planar graphs and
finite element meshes. In Foundations of Computer Science, 1996. Proceedings., 37th Annual Symposium on, pages 96–105. IEEE, 1996.
205
[80] A.J. Seary. MultiNet: An interactive program for analysing and visualizing
complex networks. PhD thesis, Faculty of Applied Science, Simon Fraser
University, 2005.
[81] A.J. Seary and W.D. Richards. Spectral methods for analyzing and visualizing
networks: an introduction. In R. Breiger, K. Carley, and P. Pattison, editors,
National Research Council, Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers, pages 209–228. The National Academic
Press, 2003.
[82] J. Shang, L. Liu, X. Li, F. Xie, and C. Wu. Targeted revision: A learningbased approach for incremental community detection in dynamic networks.
Physica A: Statistical Mechanics and its Applications, 2015.
[83] J. Shang, L. Liu, F. Xie, Z. Chen, J. Miao, X. Fang, and C. Wu. A real-time
detecting algorithm for tracking community structure of dynamic networks.
In The 6th Workshop on Social Network Mining and Analysis co-held with
KDD (SNA-KDD12), 2012.
[84] J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):888–905, 2000.
[85] D.B. Skillicorn. Understanding Complex Datasets: Data Mining with Matrix
Decompositions. CRC Press, 2007.
[86] D.B. Skillicorn, F. Calderoni, and Q. Zheng. Inductive discovery of criminal group structure using spectral embedding. Information and Security: An
International Journal, 31:49–66, 2015.
[87] D.B. Skillicorn and Q. Zheng. Global similarity in social networks with typed
edges. In 2012 IEEE/ACM International Conference on Advances in Social
Networks Analysis and Mining (ASONAM), pages 79–85, August 2012.
[88] D.B. Skillicorn and Q. Zheng. Global structure in social networks with directed typed edges. In Social Networks: Analysis and Case Studies, pages
61–81. Springer, 2014.
[89] D.B. Skillicorn, Q. Zheng, and C. Morselli. Spectral embedding for dynamic
social networks. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pages 316–323.
ACM, 2013.
[90] D.B. Skillicorn, Q. Zheng, and C. Morselli. Modeling dynamic social networks using spectral embedding. Social Network Analysis and Mining,
4(1):1–14, 2014.
[91] D.A. Spielman and S.H. Teng. Spectral partitioning works: Planar graphs and
finite element meshes. In Foundations of Computer Science, 1996. Proceedings., 37th Annual Symposium on, pages 96–105. IEEE, 1996.