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Latest news: Rogas is now joining the Google Summer of Code 2016. In the following months, we aim to develop a new GUI for Rogas with more comprehensive network visualisation functions and also implement "Local Community Detection Search" for Rogas. We will upload new source code after the new GUI and functions have been achieved.
Currently the Rogas project contains a framework for network analytics called RG Framework.
It not only can provides a high-level declarative query language to
formulate analysis queries, but also can unify different graph algorithms
within the relational environment for query processing.
The RG framework has three main components: (1) a hybrid data model, which
integrates graphs with relations so that we have these two types of data
structures respectively for network analysis and relational analysis;
(2) a SQL-like query language, which extends standard SQL with
graph constructing, ranking, clustering, and path finding operations;
(3) a query engine, which is built upon PostgreSQL and can efficiently process
network analysis queries using various graph systems and
their supporting algorithms.
Here is the prototype implementation of the RG Framework. The prototype
is developed in Python 2.7 with the official PostgreSQL client library – libpq.
We use Psycopg, the current mature wrapper for the libpq, as the
PostgreSQL adapter. For the GUI, we use TkInter, PIL, and pylsytable
for window development, image formating and table-like printing. In terms of
graph algorithms, currently, we take advantage of Graph-tool, SNAP and
NetworkX for algorithms support.
Here are the links for the python packages mentioned above:
(suggest to use Ubuntu or other Linux systems, Mac and Windows are hard to install all these packages)
- Psycopg: http://initd.org/psycopg/
- TkInter: https://wiki.python.org/moin/TkInter
- Pillow for PIL: https://python-pillow.github.io/ (Require Pillow 3.1 or above)
- pylsytable: https://github.com/Leviathan1995/Pylsy?files=1
- Graph-tool: http://graph-tool.skewed.de/
- SNAP: http://snap.stanford.edu/snappy/index.html
- NetworkX: http://networkx.github.io/
Before runing the prototype, ensure the system is Ubuntu and all the external python packages mentioned above are installed correctly.
**Notice that pillow is the latest package for PIL and it is not compatible with the old PIL package. If your have already had PIL in your python dist-packages (/usr/lib/python2.7/dist-packages/), please delete the original PIL and install the new Pillow package. If you are using Eclipse or other IDE, I suggest to use the source code to install Pillow so that the unresolved import issues of the IDE can be solved.**
You also need to change the code of the *queryConsole.start()* method a bit to connect your own PostgreSQL database. Then you can start the prototype by running the *GUI_Console* program.
More details about the RG framework, please refer to the thesis "Towards a Unified Framework for Network Analytics" collected in Australian National University (http://users.cecs.anu.edu.au/~u5170295/publications/thesis-minjian.pdf). You can also contact *minjian.liu@anu.edu.au* or *qing.wang@anu.edu.au* for more information.
PS: For answering how to change the output of the GUI_Console as left alignment (default is center alignment) You can change the source code of the pylsytable as follow:(the path in Ubuntu normally is '/usr/local/lib/python2.7/dist-packages/pylsy/pylsy.py).
* Find the "def _pad_string(self, str, colwidth):" function in the pylsy.py * change " return ' ' * prefix + str +' ' * suffix " (center alignment ) as " return str + ' ' * prefix +' ' * suffix " (left alignment)