Graph Database
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Structural Abstractions in Brains and Graphs « Aurelius
A graph database is a software system that persists and represents data as a collection of vertices (i.e. nodes, dots) connected to one another by a collection of edges (i.e. links, lines). These databases are optimized for executing a type of process known as a graph traversal . At various levels of abstraction, both the structure and function of a graph yield a striking similarity to neural systems such as the human brain. It is posited that as graph systems scale to encompass more heterogenous data, a multi-level structural understanding can help facilitate the study of graphs and the engineering of graph systems.Some relationships change over time. Think about your friends from high school, college, work, the city you used to live in, the ones that liked you ex- better, etc. When exploring a social network it is important that we understand not only the strength of the relationship now, but over time. We can use communication between people as a measure. I ran into a visualization that explored how multiple parties where connected by communications in multiple projects. We’re going to reuse it to explore how multiple people interact with each other.
Connections in Time
March 22, 2012 by Marko A. Rodriguez Organizations make use of data to drive their decision making, enhance their product features, and to increase the efficiency of their everyday operations. Data by itself is not useful. However, with data analysis , patterns such as trends, clusters, predictions, etc. can be distilled. The way in which data is analyzed is predicated on the way in which data is structured.
Understanding the World using Tables and Graphs « Aurelius
Disaster Area - Filed under 'neo4j'
I recently helped add versioning support to Neo4j.rb . Versioning only works for Rails models at the moment. To add versioning to your model, you'll need include the Versioning module:
Neo4j « Romiko Derbynew's Blog
public Dictionary< string , IndexMetaData> GetIndexes(IndexFor indexFor) CheckRoot(); string indexResource;
Hi! I’m happy to announce that the version 0.7 of Bio4j has been released. Check out the wide set of new features, tools and improvements: Expasy Enzyme database integration From now on you have the whole Enzyme DB included in Bio4j.
