As real-world graphs are often evolving over time, interest in analyzing the temporal behavior of graphs has grown. Herein, we propose Auxo, a novel temporal… Read More »Auxo: a temporal graph management system
Dinic’s algorithm or Dinitz’s algorithm is a strongly polynomial algorithm for computing the maximum flow in a flow network, conceived in 1970 by Israeli (formerly Soviet) computer scientist Yefim (Chaim) A. Dinitz.[1] The algorithm… Read More »Dinic’s Algorithm | Network Flow | Graph Theory
Events, such as prolonged congestion in ports or unavailable ship routes in the maritime network, often initiate cascading congestions that block transportation and/or disrupt services… Read More »Analyzing Congestion Interdependencies of Ports and Container Ship Routes in the Maritime Network Infrastructure
Have you ever stopped to understand what graph databases are and what they can do for you? Graph databases and graph processing frameworks are all… Read More »What are Graph Databases
Graph databases are a rising tide in the world of big data insights, and the enterprises that tap into their power realize significant competitive advantages.… Read More »Graph Database – Top Use Cases
Internet is the main tool for e-business. E-transaction is made faster by Internet. With the increase of e-transaction internet fraud or e-business fraud is increasing.… Read More »Analysis of Pattern Identification Using Graph Database for Fraud Detection
Paper has been inspired by the minimum spanning tree (MST) methodology originally used in the field of stock returns. The objective of our contribution is… Read More »Minimum Spanning Tree Application in the Currency Market
The kind of information that we’re going to look at that we’d like to be able to represent and look at is some entity A… Read More »How does a graph database differ from a relational database?
Travel in Papua New Guinea is quite expensive compared to many of its neighbouring countries. On the other hand Papua New Guinea presents travelers with… Read More »An Application of Minimum Spanning Trees to Travel Planning