\emphSeasonal periodicity is a frequent phenomenon for social interactions in temporal
networks. A key property of this behavior is that it exhibits periodicity for multiple particular …

Densest subgraphs are often interpreted as communities, based on a basic assumption that
the connections inside a community are much denser than those between communities. In a …

Many graphs in real-world applications, such as telecommunications networks, social-
interaction graphs and co-authorship graphs, contain temporal information. However …

In many application domains, graphs are utilized to model entities and their relationships,
and graph mining is important to detect patterns within these relationships. While the …

In systems of interacting entities such as social networks, interactions that occur regularly
typically correspond to significant, yet often infrequent and hard to detect, interaction …

Networks are known as perfect tools for modeling various types of systems. In the literature
of network mining, frequent subgraph mining is considered as the essence of mining …

In dynamic networks, periodically occurring interactions express especially significant
meaning. However, these patterns also could occur infrequently, which is why it is difficult to …

Given a social network with dynamic interactions, how can we discover frequent interactions
between groups of entities? What are the temporal patterns exhibited by these interactions …

Periodic group behaviors often exist in temporal interaction networks, such as monthly group
meetings, quarterly animal migrations, and yearly birthday parties. In real life, these events …

Temporal subgraph mining is recently ubiquitous. Identifying diversified and lasting
ingredients is a fundamental problem in analyzing temporal networks. In this paper, we …