While advances in computing resources have made processing enormous amounts of data
possible, human ability to identify patterns in such data has not scaled accordingly. Efficient …

Evolutionary network analysis has found an increasing interest in the literature because of
the importance of different kinds of dynamic social networks, email networks, biological …

Outliers are also referred to as abnormalities, discordants, deviants, or anomalies in the data
mining and statistics literature. In most applications, the data is created by one or more …

Smartphone users might be interrupted while interacting with an application, either by
intended or unintended circumstances. In this paper, we report on a large-scale …

We deal with two independent but related problems, those of graph similarity and subgraph
matching, which are both important practical problems useful in several fields of science …

In this paper we introduce a methodology for extracting mobility profiles of individuals from
raw digital traces (in particular, GPS traces), and study criteria to match individuals based on …

Given a large network, changing over time, how can we find patterns and anomalies? We
propose Com2, a novel and fast, incremental tensor analysis approach, which can discover …

Given a network with attributed edges, how can we identify anomalous behavior? Networks
with edge attributes are ubiquitous, and capture rich information about interactions between …

By virtue of their spatio-cognitive abilities, humans are able to navigate through geographic
space as well as meaningfully communicate geographic information represented in …

Network softwarization technologies challenge legacy fault management systems.
Coordination and dependency among different novel software components for orchestration …