Social media anomaly detection is of critical importance to prevent malicious activities such
as bullying, terrorist attack planning, and fraud information dissemination. With the recent …

Networks have entered the mainstream lexicon over the last ten years. This coincides with
the pervasive use of networks in a host of disciplines of interest to industry and academia …

We report on the Second Workshop on Mining Networks and Graphs held at the 2015 SIAM
International Conference on Data Mining. This half-day workshop consisted of a keynote …

Disease spread has a much broader impact on public health than the important issues of
illnesses and deaths. Among these are chronic health problems, reductions in national …

Single-Source Shortest Path (SSSP) algorithms are essential in various applications, from
optimizing transportation networks to analyzing social networks. This paper focuses on …

Subgraph matching, also known as motif finding, is a fundamental problem in graph analysis
with extensive applications. However, identifying subgraphs in large-scale graphs is …

Abstract Protein-Protein Interaction (PPI) Research currently generates an extraordinary
amount of publications and interest in fellow computer scientists and biologists alike …

One of the most important parts of Data Analysis is Data Visualization [15]. The easy thing
about Data Visualization is that there are hundreds of ways to do it, one better than the other …

Networks (or graphs) are an effective abstraction for representing many real-world complex
systems. Analyzing various structural properties of and dynamics on such networks reveal …

The twenty-first century immunology research requires the collaboration of a team of
scientists with different backgrounds and expertise including immunologists, biochemists …