Storing and visualizing LinkedIn with Neo4j and sigma.js by Bob Briody.
From the post:
In this post I am going to present a way to:
- load a linkedin networkvia the linkedIn developer API into neo4j using python
- serve the network from neo4j using node.js, express.js, and cypher
- display the network in the browser using sigma.js
Great post but it means one (1) down and two hundred and five (205) more to go, if you are a member of the social networks listed on List of social networking websites at Wikipedia, and that excludes dating sites and includes only “notable, well-known sites.”
I would be willing to bet that your social network of friends, members of your religious organization, people where you work, etc. would start to swell the number of other social networks that number you as a member.
Hmmm, so one off social network visualizations are just that, one off social network visualizations. You can been seen as part of one group and not say two or three intersecting groups.
Moreover, an update to one visualized network isn’t going to percolate into another visualized network.
There is the “normalize your graph” solution to integrate such resources but what if you aren’t the one to realize the need for “normalization?”
You have two separate actors in your graph visualization after doing the best you can. Another person encounters information indicating these “two” people are in fact one person. They update their data. But that updated knowledge has no impact on your visualization, unless you simply happen across it.
Seems like a poor way to run intelligence gathering doesn’t it?