Using different methods for laying out a graph can lead to very different visual appearances,
with which the viewer perceives different information. Selecting a “good” layout method is …

Most real networks are too large or they are not available for real time analysis. Therefore, in
practice, decisions are made based on partial information about the ground truth network. It …

Graphlets are induced subgraphs of a large network and are important for understanding
and modeling complex networks. Despite their practical importance, graphlets have been …

Android systems are widely used in mobile & wireless distributed systems. In the near future,
Android is believed to dominate the mobile distributed environment. However, with the …

Motivation Graphlets are a useful tool to determine a graph's small-scale structure. Finding
them is exponentially hard with respect to the number of nodes in each graphlet. Therefore …

Graph entropy measures have recently gained wide attention for identifying and
discriminating various networks in biology, society, transportation, etc. However, existing …

The set of all frequent patterns that are extracted from a single network can be huge. A
technique recently proposed for obtaining a compact, informative and useful set of patterns …

Network data appear in various domains, including social, communication, and information
sciences. Analysis of such data is crucial for making inferences and predictions about these …

k-core decomposition of a graph is a popular graph analysis method that has found
widespread applications in various tasks. Thanks to its linear time complexity, k-core …

In large networks, the connected triples are useful for solving various tasks including link
prediction, community detection, and spam filtering. Existing works in this direction concern …