As the perils of cyber security breaches continue to plague industries, governments, and citizens throughout the world, the need to detect these infiltrating events, as well as identify their attack ...

Graph-based pattern mining encompasses a suite of computational methods designed to discover recurring substructures within graph-structured data. These techniques involve systematically enumerating ...

The dean of search engine analysis Danny Sullivan, editor-in-chief of Search Engine Land, gave a talk on how "social" intersects with search at the Graphing Social Patterns conference in San Jose. At ...

It's only October and we're already knee deep in conferences. Last week we brought you a behind the scenes look at the Momentum Growth Conference, and today we're going to be updating you from the ...

Graph pattern matching constitutes the identification of specific substructures within a larger network, a task of central importance across disciplines as diverse as social media analysis, ...

Part I of our series on graph analytics introduced us to graph analytics, and its brethren graph databases. We talked about the use of graph analytics to understand and visualize relationships between ...