Detecting anomalies in social network data consumption-Reference-Cited by-同舟云学术

Detecting anomalies in social network data consumption

Published:2014-08-29 Issue:1 Volume:4 Page:
ISSN:1869-5450
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Akcora Cuneyt Gurcan,Carminati Barbara,Ferrari Elena,Kantarcioglu Murat

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s13278-014-0231-3.pdf

Reference28 articles.

1. Akcora CG, Carminati B, Ferrari E (2012) Risks of friendships on social networks. In: Data Mining (ICDM), 2012 IEEE 12th International Conference

2. Akcora CG, Carminati B, Ferrari E, Kantarcioglu M (2014) Twitter diff dataset: friends of users in 2009 and 2013. http://strict.dista.uninsubria.it/?p=364 , 2014

3. Akcora CG, Carminati B, Ferrari E, Kantarcioglu M (2014) Twitter taf dataset: detecting topically anomalous friendships. http://strict.dista.uninsubria.it/?p=442 , 2014

4. Anantharam P, Sheth A (2012) Topical anomaly detection from twitter stream. Proc ACM Web Sci 2012:11–14

5. Blei D, Ng A, Jordan M (2003) Latent dirichlet allocation. J Mac Learn Res 3:993–1022

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