Centrality. Definition and characterization of centrality indices[edit] Next to the following classic centrality indices, there are dozens of other more specialized centrality indices. Despite its intuitive notion there is not yet a definition or characterization of centrality indices which captures all of them.[2] A very loose definition of a centrality index is the following: A centrality index is a real-valued function on the nodes of a graph. It is a structural index, i.e., if and are two isomorphic graphs and is the mapping from the vertex set of to , then the centrality of a vertex must be the same as the centrality of in .
Borgatti and Everett summarize that centrality indices measure the position of a node along a predefined set of walks. Categorization[edit] Reachability, Amount of flow, Vitality, Feedback; see.[5] Degree centrality[edit] The degree centrality of a vertex , for a given graph with vertices and edges, is defined as Calculating degree centrality for all the nodes in a graph takes . Be the where. Algorithmic recruitment with GitHub :: Hackdiary. In my new job in Berlin I’ve been asked to hire some people to help prototype new, secret projects. Berlin has a superb tech scene but as I’m new in town it’s taking me a little time to get to know everyone. While that’s going on, I wrote some code to help me explore Berlin’s developer community. When I’m hiring, one of the things I always want to see is evidence of personal projects. Over the last two years, GitHub has become an amazing treasure trove of code, with the best social infrastructure I’ve ever seen on a developer site.
GitHub profiles let the user set their location, so I started with a few web searches for Berlin developers. This finds hundreds of interesting people, but how do I prioritise them? Another thing that I look for when building a good team is someone’s personal network. The JRuby code uses Yahoo BOSS to do the web search. To sanity-check the results I ran it for a couple of cities I already know well: London and San Francisco. San Francisco London. EPA Occupational Chemical Database. AlphaWorks technologies. Software Downloads and Open Source links - HP Labs. People. Software Tools. Open Source Licenses Non-Commercial Binary Licenses Non-Commercial Source Licenses You are welcome to download and use the software tools appearing on this page that have been developed by AT&T Labs researchers. Please reference the individual project web pages for specific license agreements.
If an available license agreement does not meet your needs, please contact attip@att.com for assistance with a customized license. In addition to the software tools available through Open Source and Non-Commercial licenses as listed on this page, AT&T has additional software and technology solutions available for licensing. AST: Advanced Software Technologies Open Source Collection AST (AT&T Software Technology) OpenSource software is a collection of libraries and commands for UNIX and Windows. Some of the more popular components include: cdt, dss, ksh93, nmake, pax, sfio, vcodex, and vmalloc. CDT: Container Data Types Library A Container Data Type library. PADS: Processing Arbitrary Data Streams. Playground. Welcome to the CSAIL Playground! Here you can view, interact with, and in some cases download current research projects.
This is a chance for our research groups to pull away the curtain and give visitors a glimpse at the diverse, innovative projects we work on every day. Have fun! WAMI is a speech-enabled mobile web browser. Sikuli is a programming tool that allows for the automation of tasks through interaction with the graphical user interface. Chickenfoot is a Firefox extension that puts a programming environment in the browser's sidebar so you can write scripts to manipulate web pages and automate web browsing. LabelMe is a WEB-based image annotation tool that allows researchers to label images and share the annotations with the rest of the community.