Graph connectivity and fault tolerance form the theoretical backbone of resilient network design. Connectivity measures the minimal number of elements—nodes or links—whose removal disrupts ...

Graph learning and topology inference techniques aim to reconstruct network structures from observational data by treating measurements as signals defined on unknown graphs. These approaches draw on ...

Computer scientists are constantly searching for ways to squeeze ever more bandwidth from communications networks. Now a new approach to understanding a basic concept in graph theory, known as "vertex ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

This is the sixth article of the "Big Data Processing with Apache Spark” series. Please see also: Part 1: Introduction, Part 2: Spark SQL, Part 3: Spark Streaming, Part 4: Spark Machine Learning, Part ...