CCNI Workshop

GTA³ 2018: Workshop on Graph Techniques for Adversarial Activity Analytics

February 9th, 2018 | The Ritz-Carlton Hotel - Marina Del Rey, CA

Theme & Purpose

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:

  • Network alignment and merging: develop accurate and scalable methods for mapping of nodes across heterogeneous networks based on different associational and causal dependencies.
  • Sub-graph detection and matching: develop robust and efficient algorithms for richly attributed networks to support recognition of complex query patterns for networks.

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.

Topics of Interest (including but not limited to)

  • Data integration and alignment from multiple heterogeneous networks
  • Novel algorithms for sub-graph detection and matching in large networks
  • Multilayer and multiplex network analytics
  • Clustering and ranking methods for big composite networks
  • Large-scaled link prediction and recommendation algorithms
  • Community detection in big networks
  • Information diffusion and influence maximization
  • Limits of detectability and identifiability
  • Interactive visualization for big graphs
  • New methods and frontiers in spectral graph theory
  • Suspicious behavior and event detection and evolution analysis
  • Game theoretic approach on anticipating opponent intent and actions
  • Analysis of network topologies (e.g., centrality and network motif analysis)
  • Semi-supervised learning, Transductive inference, Active learning, and Transfer learning in the context of graph
  • Identification of novel datasets and evaluation methods

Submission Instructions

Submissions to the workshop will be subject to a double-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 published online in the workshop proceedings.

Papers must be submitted in PDF format according to ACM guidelines and style files to fit within 8 pages (long papers) or 4 pages (short 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. The presentation format (oral or poster) will be decided by the program committee. There will be no distinction in the proceedings between papers that are presented orally or as posters.

ACM style files (LaTeX and Word) are available from:

Submissions should be made using the EasyChair submission system (TBD).

Important Dates (all deadlines end at 11:59pm PST)

+ Submission Deadline: November 12, 2017
+ Notification to Authors: December 10, 2017
+ Camera-ready PDFs due: January 21, 2018

Workshop Organizers