aiSee automatically calculates a customizable layout of graphs specified in GDL (Graph Description Language). This layout is then displayed, and can be interactively explored, printed, and exported to various formats.
This dissertations presents an algorithm on the webgraph for finding dense bipartite graphs wich represents web-communities.
By performing further steps of the algorithm several levels of communities are recognized which can be related to communites of former levels.
Microsoft Research collaborates with computer scientists at academic and scientific institutions to promote advances in computing technologies and research.
Microsoft Research collaborates with computer scientists at academic and scientific institutions to promote advances in computing technologies and research.
Graph mining refers to extracting knowledge from massive graphs. The data sets of telephone calls we see at AT&T can be viewed as a single graph, with several hundred million phone numbers as nodes, and calls between phone numbers as edges. It is a giant social network, like an internet connections graph or a rich citation network.
Blotter is a new service from Dapper that graphs a blog's popularity over time. The popularity statistics are gathered from Technorati using the Dapper service.
The Boost Graph Library Python bindings (which we refer to as "BGL-Python") expose the functionality of the Boost Graph Library and Parallel Boost Graph Library as a Python package, allowing one to perform computation-intensive tasks on graphs (or network
O. Corby, R. Dieng, и C. Hébert. Conceptual Structures: Logical, Linguistic, and Computational
Issues, 8th International Conference on Conceptual Structures,
ICCS 2000, Darmstadt, Germany, August 14-18, 2000, Proceedings, том 1867 из LNCS, стр. 468--482. Springer, (2000)
D. Sonntag, и P. Heim. Proceedings of the second International Conference on Semantic and Digital Media Technologies (SAMT 2007), стр. 158-171. Springer, (2007)
N. Yuruk, M. Mete, X. Xu, и T. Schweiger. ICDMW '07: Proceedings of the Seventh IEEE International Conference on Data Mining Workshops, стр. 441--448. Washington, DC, USA, IEEE Computer Society, (2007)
I. Dhillon, Y. Guan, и B. Kulis. KDD '05: Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, стр. 629--634. New York, NY, USA, ACM Press, (2005)
A. Cuzzocrea, и M. Fisichella. Proc. of 1st international workshop on linked web data management (LWDM 2011) in conjunction with the EDBT 2011, Uppsala, Sweden - March 21-25, 2011, (2011)