SCAN: A Structural Clustering Algorithm for Networks
published: Sept. 14, 2007, recorded: September 2007, views: 15204
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Description
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of intra-cluster edges. While such algorithms find useful and interesting structures, they tend to fail to identify and isolate two kinds of vertices that play special roles - vertices that bridge clusters (hubs) and vertices that are marginally connected to clusters (outliers). Identifying hubs is useful for applications such as viral marketing and epidemiology since hubs are responsible for spreading ideas or disease. In contrast, outliers have little or no influence, and may be isolated as noise in the data. In this paper, we proposed a novel algorithm called SCAN (Structural Clustering Algorithm for Networks), which detects clusters, hubs and outliers in networks. It clusters vertices based on a structural similarity measure. The algorithm is fast and efficient, visiting each vertex only once. An empirical evaluation of the method using both synthetic and real datasets demonstrates superior performance over other methods such as the modularity-based algorithms.
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Reviews and comments:
I made a mistake in my presentation slides. The authors of the paper should be "Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J. Schweiger". I forgot Zhidan Feng in my title slide.
Xiaowei
I have a problem implementing the algorithm demonstrated in the video and the paper SCAN: A structural Clustering Algorithm for Networks.
To me it seems there is an error in the pseudo code presented.
The video doesn't help very much either.
Greets Janusz Leidgens
Dear Janusz:
Please feel free to contact me if you still need the source code of SCAN.
Best regards,
Xiaowei Xu
Dear Xu:
Would you send me your source code of SCAN, I have read your paper,and have to implement it in one month.But I have no idea how to implement it with visual C++.So I need your source to open my brain.Thank you very much.
Dear Xu:
Would you send my your source code of SCAN? I am trying to implement it for biological analysis. My email address is:
jli@noble.org. Thanks a lot!
Jun Li
Dear Xu,
Would you mind to send me the source code of SCAN? I read your paper and I would like to use your algorithm for software-defect-localization.
Thank you very much!
David
Dear Xu,
Could you please send me the source code. to use it in clustering network detection.
This is my email (ml_sir@hotmail.com)
Huda
Respected Sir
Could you please send me the source code. to use it in clustering communities. This is my email( tuhinshukla87@rediffmail.com)
Dear Xu,
I am a student of SICT, I have sent a email to you. Do you get it? On 24,August,you came Shenyang and gave us a perfect speech. I am very interesting your work and I have a lot of questions to ask you. Could you sent email for me?
macun
hi
can you please send me your source code on scan algorithm, im currently working on a project that uses scan algorithmm.
thanx
hey,
can u pleaseeee send me the source code for SCAN at my email address: gkhushboo18@yahoo.com.
I have been desperately looking out for this.
thanks in advance.
Dear Xu,
Could you mind to send me your source code for SCAN? my email address is ningxin.cui.13@ucl.ac.uk
Thank you so much
Dear Xu,
Could you mind to send me your source code for SCAN? my email address is emersonhlee@gmail.com. Excellent concept!
Thank you so much
Dear Xu,
Could you mind to send me your source code for SCAN? my email address is hudsonberger123@gmail.com. Excellent concept!
I have been desperately looking out for this.
thanks in advance.
Dear Xu,
Could you mind to send me your source code for SCAN or SCAN++? my email address is jak-007@hotmail.com. Excellent concept!
thanks you So much.
Dear Xu,
Could you mind to send me your source code for SCAN? my email address is hudsonberger123@gmail.com. Excellent concept!
thanks you So much.
Dear Xu,
Could you mind to send me your source code for SCAN? my email address is yassine_chakri@yahoo.de. Excellent concept!
thanks you So much.
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