Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

How Big Data Carried Graph Theory Into New Dimensions Researchers are turning to the mathematics of higher-order interactions to better model the complex connections within their data.

Sometimes bar graphs represent an average not a total count, which is trickier to understand. And because bar graphs are everywhere, psychologists from Wellesley College wanted to determine how well ...

Key Points A multi-vari chart is a visual means of seeing multiple variations across a single data set. It is not a ...

Neo4j for Graph Data Science will help us to identify where we need to direct biomedical research, resources, and efforts." Neo4j continues to be something of a harbinger of the growing need for ...

Katie Roberts, PhD, data science solution architect at Neo4j, joined DBTA's webinar, 'Solving Data Challenges with Knowledge Graphs and Context-Aware Recommendation Systems,' to explore how building ...

Digital Science has completed the acquisition of metaphacts, which has become the newest member of the Digital Science family. Based in Germany, metaphacts is a knowledge graph and decision ...

What This Graph of a Dinosaur Can Teach Us about Doing Better Science “Anscombe’s quartet” and the “datasaurus dozen” demonstrate the importance of visualizing data ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.