19.May.2010 at 17:14 by Bradley Holt
Great introduction to graph theory. Would liked to have seen some discussion of Linked Data (e.g. Semantic Web/RDF/RDFa).
Graphs, Edges & Nodes: Untangling the Social Web
Joël Perras (19.May.2010 at 11:30)
Talk at TEK·X (English - US)
Many of the most popular web applications today deal with highly organized and structured data that represent entities, and the relationships between these entities. LinkedIn can tell you how many degrees of separation there are between yourself and the CEO of Samsung, Facebook can figure out people that you might already know, Digg can recommend article submissions that you might like, and LastFM suggests music based on your current listening habits.
We'll take a look at the basic theory behind how some of these features can be implemented (no computer science degree required!), and then dig in to a few practical implementations using an PHP & and a relational database, as well as with a document oriented database (Riak through PHP bindings). Lastly, we'll take a quick look at the current landscape of graph-based datastores that simplify many of these operations.
Quicklink: https://joind.in/1582
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Comments
19.May.2010 at 18:15 by Herman Radtke
Was pleasantly surprised by the amount of time spent discussing Redis. Great examples and just an overall fun session to listen to.
19.May.2010 at 18:40 by David Ross
Wasn't expecting to learn about what datastores are out there - handy info.
19.May.2010 at 18:46 by Rafael Dohms
Great topic very easily exposed, but i would have liked more details and technical info.
19.May.2010 at 18:57 by Nate Abele
I'm a little biased but this was an awesome talk. My only suggestion: stepping people through actual implementations of practical examples of reasonable complexity.
19.May.2010 at 20:19 by Chris Hartjes
Great intro to the topic (I've been reading "Programming Collective Intelligence") but it would've been better with more examples of how to actually use something like Neo4J or Redis. You had one example (friend-of-a-friend) but hard to visualize setting reasonably more complicated stuff.
19.May.2010 at 22:09 by Garrison Locke
Great intro for people who didn't know much about graph theory, but it was hard to connect the details of the specific datastores to practical everyday situations. I would have liked to see more examples.
20.May.2010 at 13:44 by James Bush
I really enjoyed this one. I took classes on graph theory in college eons ago, and thought this was a great refresher. Thanks for the pointers to specific datastores and visualizer tools.
20.May.2010 at 20:38 by Jake Smith
I kinda just wandered into this talk having "zero clue" what it was really about, but I'm very glad I attended. The speaker did a great job of easing everyone into the concept and shared resources to help get you started.
20.May.2010 at 21:47 by Elizabeth Marie Smith
As I'm seeing in a lot of talks (including my own) - although the intro and how to use is great... adding use cases and real world examples would really make it interesting and useful for users (that and I want PECL extension please ;)
Speaker comment:
22.May.2010 at 00:50 by Joël Perras
Thanks for all the comments everyone! I'm happy that it was well received, and I'll be updating the talk for future presentations to address some of the great feedback I've gotten.
22.May.2010 at 01:33 by John Congdon
Not sure what I was expecting from the description. I learned a lot, but was expecting something else. Maybe just tweak the talk description.
22.May.2010 at 16:19 by Joey Trapp
Graph theory was not something I have ever really seen before, so the beginning of the talk was great as a basic overview. I learned a great deal about this concept, but am still unsure of how it can help me in my day to day work.
25.May.2010 at 14:17 by Michael Lehmkuhl
"Joël Perras knows his shit." I'll second that. Very informative overview of graph theory that got me thinking about different ways to implement social networking functionality.
19.May.2010 at 17:09 by Jeremy Kendall
Joël Perras knows his shit. Great info. Looking forward to the posted slides.