Networks are natural analytic tools in modeling adversarial activities (e.g., human trafficking, illicit drug production, terrorist financial transaction) using different intelligence data sources. However, such activities are often covert and embedded across multiple domains and contexts. They are generally not detectable and recognizable from the perspective of an isolated network, and only become apparent when multiple networks are analyzed in a joint manner. Thus, one of the main research topics in modeling adversarial activities is to develop effective techniques to align and fuse information from different networks into a unified representation for global analysis. Based on the combined network representation, an equally important research topic is on detecting and matching indicating patterns to recognize the underlining adversarial activities in the integrated network.
Two key challenge problems involved in the modeling process include:
The focus of this workshop is to gather together the researchers from all relevant fields to share their experience and opinions on graph mining techniques in the era of big data, with emphasis on two fundamental problems – “Connecting the dots” and “finding a needle in a haystack”, in the context of graph-based adversarial activity analytics. A best paper will be selected and announced in our workshop based on the collective feedback from our reviewers.
This workshop (co-located with the 11th ACM Conference on Web Search and Data Mining) aims to bring together a cross-disciplinary audience of researchers from both academia and industry to share experience with techniques, resources and best practices, and to exchange perspectives and future directions. We expect the workshop to develop a community of interested researchers and facilitate their future collaborations.
Including but not limited to:
Submissions to the workshop will be subject to a single-blind peer review process, with each submission reviewed by at least two program committee members in addition to an organizer. Accepted papers will be given either an oral or poster presentation slot, and made available in the workshop’s website.
Papers must be submitted in PDF format according to ACM guidelines and style files to fit within 8 pages (long papers), 4 pages (short papers) or 2 pages (demo papers) including any diagrams, references and appendices. PDF files must have all non-standard fonts embedded. Submissions must be self-contained and in English. After uploading your submission, please check the copy stored on the site. Submissions that do not follow these guidelines, or do not view or print properly, may be rejected without review.
ACM style files (LaTeX and Word) are available from: https://www.acm.org/publications/proceedings-template
Submissions should be made using the EasyChair submission system.
Metrics for Evaluating Network Alignment
Joel Douglas, Ben Zimmerman, Alexei Kopylov, Jiejun Xu, Daniel Sussman, and Vince Lyzinski
Matched Filters for Noisy Induced Subgraph Detection
Daniel Sussman, Vince Lyzinski, Carey Priebe, and Youngser Park
Cyber Persona Identification via Indirect Feature Analysis
Suzanne Stathatos, Asitang Mishra, and Chris Mattmann
Efficient Routing with Partial Information
Xiaoran Yan, Andrea Avena-Koenigsberger, and Olaf Sprons
Ensemble Sentiment Analysis to Identify Human Trafficking in Web Data
Anastasia Mensikova, and Chris Mattmann
|8:30am - 9:20am|||||Keynote: Local Graph Analytics: Beyond Characterizing Community Structure|
|9:20am - 10:10am|||||Keynote: Mathematical Issues Derived from Modeling Adversarial Activity (MAA)|
|10:10am - 10:20am|||||Coffee Break|
|10:20am - 11:10am|||||Keynote: Detecting Significant Network Processes|
|11:10am - 12:00pm|||||Keynote: Multilayer Networks|
|12:00pm - 12:15pm|||||Contributed talk: Metrics for Evaluating Network Alignment|
|12:15pm - 12:30pm|||||Contributed talk: Matched Filters for Noisy Induced Subgraph Detection|
|12:30pm - 12:45pm|||||Contributed talk: Cyber Persona Identification via Indirect Feature Analysis|
|12:45pm - 12:55pm|||||Contributed talk: Efficient routing with partial information|
|12:55pm - 1:05pm|||||Contributed talk: Ensemble Sentiment Analysis to Identify Human Trafficking in Web Data|