Mercurial > hg > WSGraph
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author | Jeff Hammel <jhammel@mozilla.com> |
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date | Fri, 12 Apr 2013 01:47:19 -0700 |
parents | 1cc89badc5c6 |
children | 6b1d76a8cac6 |
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WSGraph =========== WSGI graph server Directed Graphs =============== Storage ------- A directed graph may be expressed as JSON:: {'nodes': {'node1': {'metadata1': value, ...}, 'node2': {'metadata1': value, ...}}. 'edges': {'node1': {'node2': {'metadata': value}, ...}, ...}, 'graphmetadata': value, ...} In languages like python, which can hash (key, value) pairs, the edges may be more conveniently hashed:: edges[('foo', 'bar')] = {'metadata': value} A directed graph may be stored in a RDB:: Table: *nodes* +----+---------+---------+---+ |node|metadata1|metadata2|...| +====+=========+=========+===+ |foo |value |value | | +----+---------+---------+---+ |bar |value |value | | +----+---------+---------+---+ Table: *edges* +-----+-----+---------+---------+---+ |node1|node2|metadata1|metadata2|...| +=====+=====+=========+=========+===+ |foo |bar |value |value | | +-----+-----+---------+---------+---+ Note that the nodes table has unique keys, but the edges table has rows identified only by the ordered set of two keys: node1 and node2. Previous formats use a node and value hash of a string: the nodes have a given name. While this is convenient for human identification, a more efficient hashing mechanism may be achieved by an algorithm. Since a edge is a unique hash of two nodes, the nodes may be numbered with an appropriate algorithm giving a unique hash per edge. Higher Dimensionality --------------------- * faces * ... Links ----- * http://www.graphdracula.net/ * http://thejit.org/ Ideas ----- I work at automation and testing at Mozilla, but have been known to don multiple hats, and, not surprisingly, I think a lot about how the web works. So I just read Stuart's blog post and couldn't help but feel that it plays somewhat in to my idea of mine. Background.... The web is a directed graph ( http://en.wikipedia.org/wiki/Directed_graph ). The nodes of the directed graphs are web pages and the edges of the directed graphs are produced when you clicked on a link. This gives a unique opportunity to provide maps of the web. There are a few components in this visualization. A site map. This is a map that sits on a server. When a visitor clicks on a link, a new edge is added by reading HTTP REFERER. A toy example, no longer "live", is at http://k0s.org/map.svg . This gives both the webmaster and visitors to see how the site is traveled: the well worn routes as well as the dusty trails. Note that the map itself is an element on the map :) In addition, the map could be embedded as a navigation aid on any page that desires it. Obviously a lot more could be done here than is shown in the toy example: nodes could be collapsed into metanodes until expanded (that is /pictures/mission/capp.jpg and /pictures/mission/cowboy.jpg might just be /pictures/mission for the sake of easy navigation unless a user clicked in for closer detail), etc. The algorithm is really simple: - for each request (in middleware) read the path info and the HTTP referer - if this edge doesn't exist create it - if it does, add one to its count (and whatever other metadata you want....you have the whole request) - additionally, you need a handler to display this data Some sites do this though I rarely see it presented this way and even more rarely to the user. In addition, you can make the system federated. For instance, lets say foo.org and bar.org both have maps (presumedly noted as <link rel="" type=""> in their <HEAD>s). If there is traffic from foo to bar you can stitch these maps together at the points where they meet. You have a federated map of the web! The map of one's journey. So the above is from the site's point of view. What about the user's point of view? It would be easy to make an addon that recorded your own map of how you traversed the web. You click on a link in any tab and, again, an edge is created (and populated with whatever metadata you want). You can see how you use the web as well as share your travels with friends. This could also link up with site maps when they are available. Just some things I've been thinking of in the last two years. I'm happy to go into more detail or flush them out if there is interest. https://groups.google.com/forum/?hl=en#!topic/mozilla-labs-pancake/TbRFpxvic6M http://play.fxhome.mozillalabs.com:4322/lattice/oyiptong@mozilla.com/graph/vis.html = Graph exchange formats = [Planned] WSGraph should be able to import and export any of the standard graph formats * JSGN (native) * http://en.wikipedia.org/wiki/Graph_Modelling_Language * http://en.wikipedia.org/wiki/GraphML * http://en.wikipedia.org/wiki/Trivial_Graph_Format * http://www.gupro.de/GXL/ , http://en.wikipedia.org/wiki/GXL * http://en.wikipedia.org/wiki/Dot_language (Graphviz) = Resources = Python packages related to graphs: * graph-tool: http://en.wikipedia.org/wiki/Graph-tool , https://pypi.python.org/pypi/graph-tool , http://projects.skewed.de/graph-tool/ External libraries and tools * Graphviz * tulip: http://tulip.labri.fr/TulipDrupal/ * GUESS: http://graphexploration.cond.org/ * Java Universal Network/Graph Framework : http://jung.sourceforge.net/ * graphthing http://graph.seul.org/ * igraph http://igraph.sourceforge.net/ See also http://k0s.org/links/?q=graph (And what is https://github.com/tinkerpop/blueprints/wiki/GraphML-Reader-and-Writer-Library ?) Parallel Efforts ---------------- * http://k0s.org/hg/IntentMadeManifest/ ---- Jeff Hammel http://k0s.org/hg/WSGraph