Dev Conference by Neo4j
Session Track: Data Science
Session Time:
Session description
In graph theory, “trees” are acyclic connected structures storing hierarchical information such as genealogic, binary search, and some biomedical pathways data. A geologic example of a tree is a river system. The tree model identifies river channel intersections as nodes with the edges between nodes indicating flow directions. Data from Colorado’s Cretaceous age “J” Sandstone was stored in a Neo4j graph database and then exported to Gephi for analytics and display. PageRank was selected for analyzing the connected channel segments. Results compare well with published data. The channel maps and areas with higher PageRank values correspond with higher data values.
Consultant & Graph Database and Data Analytics Architect
Mark Maslyn’s background includes advanced degrees in Geology and Computer Science plus a Stanford online class: “Fundamentals of Genetics: The Genetics You Need to Know.” His Computer Science Master’s Project was “A Natural Language Database Interface in Prolog.” Before starting with Graph Databases nine years ago, he worked in object-oriented software development interfacing with search engines, relational and NoSQL databases using different programming languages including Python and Java and connecting with the Spark, DataBricks and Wolfram data frameworks. More recently he designed and built commercial graph databases and applications in several industries including game development, oil exploration and drug discovery.
