Paper Presentation List

 

Paper ID

Title

Presenter

Presentation Date

1

Mining optimal decision trees from itemset lattices, KDD’07

Xiaoxi (Slides)

10/30 (1)

2

Substructure Similarity Search in Graph Databases, 
by X. Yan, P. S. Yu, and J. Han, SIGMOD'05 (Proc. of 2005 Int. Conf. on Management of Data), 2005. [pdf]

[Full paper: Feature-based Substructure Similarity Search,
by X. Yan, F. Zhu, P. S. Yu, and J. Han,
ACM-TODS (ACM Transactions on Database Systems), Dec. 2006. [pdf] ]

Ning

11/13 (3)

3

Fast algorithm for detecting community structure in networks, M. E. J. Newman, Phys. Rev. E 69, 066133 (2004).

[Referernces: Detecting community structure in networks, M. E. J. Newman, Eur. Phys. J. B 38, 321-330 (2004),  Finding community structure in very large networks, Aaron Clauset, M. E. J. Newman, and Cristopher Moore, Phys. Rev. E 70, 066111 (2004).]

Muad (Slides)

10/23 (1)

4

A measure of betweenness centrality based on random walks, M. E. J. Newman, Social Networks 27, 39-54 (2005).

Amruta (Slides)

10/23  (3)

5

Power laws, Pareto distributions and Zipf's law, M. E. J. Newman, Contemporary Physics 46, 323-351 (2005).

Abdulkareem

(Slides)

10/23 (2)

6

Modularity and community structure in networks, M. E. J. Newman, Proc. Natl. Acad. Sci. USA 103, 8577-8582 (2006).

Harsh (Slides)

 

10/30 (2)

7

 Finding community structure in networks using the eigenvectors of matrices, M. E. J. Newman, Phys. Rev. E 74, 036104 (2006).

Yang

10/30 (3)

8

Mixture models and exploratory data analysis in networks, M. E. J. Newman and E. A. Leicht, Proc. Natl. Acad. Sci. USA 104, 9564-9569 (2007).

 

 

9

Large-scale structure of time evolving citation networks, E. A. Leicht, Gavin Clarkson, Kerby Shedden, and M. E. J. Newman, Eur. Phys. J. B, in press.

 

 

10

L. Backstrom, C. Dwork, J. Kleinberg. Wherefore Art Thou R3579X? Anonymized Social Networks, Hidden Patterns, and Structural Steganography. Proc. 16th Intl. World Wide Web Conference, 2007.

Adam

11/13 (1)

11

Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, and Thomas A. J. Schweiger, “SCAN: A Structural Clustering Algorithm for Networks”, The Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, CA, Aug. 12-15, 2007.

Maen (Slides)

 

11/6 (1)

12

A Framework For Community Identification in Dynamic Social Networks, KDD’07.

Victor (Slides)

11/6 (3)

13

Quantifying Social Group Evolution, Nature, 2007.

Liang (Slides)

 

11/6 (2)

14

J. Kleinberg. Cascading Behavior in Networks: Algorithmic and Economic Issues. In Algorithmic Game Theory.

Rab

11/13 (2)