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Marko A. Rodriguez

Marko A. Rodriguez
SMI32-stained pyramidal neurons in the cerebral cortex. Provided by UC Regents Davis under Creative Commons Attribution 2.5 License What do graphs and brains have in common? First, they both share a relatively similar structure: Vertices/neurons are connected to each other by edges/axons. Second, they both share a similar process: traversers/action potentials propagate to effect some computation that is a function of the topology of the structure. If there exists a mapping between two domains, then it is possible to apply the processes of one domain (the brain) to the structure of the other (the graph).

Related:  Visual Understanding Environment

Visual Map Of The Internet And Websites' Connectedness This is actually a worthwhile little time waster. is a website that depicts websites as different sized circles based on the size of their audience, and their relatedness to one another based on their proximity on the map. It has a handy search feature too, so you don't have to go scrolling around to find the site you're looking for. Because otherwise it would be complete shit.

Connections in Time 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. news and updates on bio4j Hello everyone, I’m happy to announce a new set of features for our tool Bio4jExplorer plus some changes in its design. I hope this may help both potential and current users to get a better understanding of Bio4j DB structure and contents. Node & Relationship properties You can now check with Bio4jExplorer the properties that has either a node or relationship in the table situated on the lower part of the interface.

Curious » Eucalyptus: Setting up a private infrastructure cloud There are a few Infrastructure-as-a-Service offerings that available to download and use. Eucalyptus and OpenNebula are two such offerings. I ended up installing and experimenting with both Eucalyptus and OpenNebula. In this blog post, I’ll detail my experience of installing and setting up Eucalyptus 1.6.2 on CentOS. For the sake of keeping things simple but still practical enough, we will have: Graphs in Computer Science Graphs in Computer Science Introduction Graphs are mathematical concepts that have found many uses in computer science. Graphs come in many different flavors, many of which have found uses in computer programs. Some flavors are: Simple graph Undirected or directed graphs Cyclic or acyclic graphs labeled graphs Weighted graphs Infinite graphs ... and many more too numerous to mention.

Life Mirrors Art Mirrors Life - Skyrail Social Network Visualisation On my travels last week I came across this seriously cool new social network visualisation system called Skyrails. What I find particularly exciting about it is that the output looks like something out of the pages of Masamune Shirow’s “Ghost in the Shell” flying through the virtual noosphere. Whilst the utility of such visualisations are still questionable it’s always good to see innovation in this area and makes my own attempts look tame in comparison! “Noosphere (aka metaconsciousness): Human communication and interaction may eventually advance to the stage where even conscious thought may be globalized and massively shared. This will lead to the rise of the so-called noosphere.”

HyperGraphDB - A Graph Database HyperGraphDB is a general purpose, extensible, portable, distributed, embeddable, open-source data storage mechanism. It is a graph database designed specifically for artificial intelligence and semantic web projects, it can also be used as an embedded object-oriented database for projects of all sizes. The system is reliable and in production use is several projects, including a search engine and our own Seco scripting IDE where most of the runtime environment is automatically saved as a hypergraph. HyperGraphDB is primarily what its carefully chosen name implies: a database for storing hypergraphs. While it falls into the general family of graph databases, it is hard to categorize HyperGraphDB as yet another database because much of its design evolves around providing the means to manage structure-rich information with arbitrary layers of complexity. For instance, a relational as well as an object-oriented style of data management can be emulated.

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: Graph rewriting Graph transformations can be used as a computation abstraction. The basic idea is that the state of a computation can be represented as a graph, further steps in that computation can then be represented as transformation rules on that graph. Such rules consist of an original graph, which is to be matched to a subgraph in the complete state, and a replacing graph, which will replace the matched subgraph. , with

The Facts and Figures about the Power of Visual Content - Infographic We all know that images are compelling. The growth of visual content has been on a rapid upward trajectory over the last 12 months. Social media platforms such as Pinterest and Instagram have taken the social media world by storm. Instagram announced in July that it had acquired 80 million users. Graph database Description[edit] Graph databases employ nodes, properties, and edges. Graph databases are based on graph theory, and employ nodes, edges, and properties. Nodes represent entities such as people, businesses, accounts, or any other item to be tracked. They are roughly the equivalent of the record, relation, or row in a relational database, or the document in a document database.Edges, also termed graphs or relationships, are the lines that connect nodes to other nodes; they represent the relationship between them.