By Evimaria Terzi, Marco Winkler (auth.), Alan Frieze, Paul Horn, Paweł Prałat (eds.)
This booklet constitutes the refereed lawsuits of the eighth foreign Workshop on Algorithms and versions for the Web-Graph, WAW 2011, held in Atlanta, GA, in may well 2011 - co-located with RSA 2011, the fifteenth overseas convention on Random constructions and Algorithms.
The thirteen revised complete papers offered including 1 invited lecture have been rigorously reviewed and chosen from 19 submissions. Addressing a wide selection of subject matters regarding the research of the Web-graph corresponding to theoretical and empirical research, the papers characteristic unique learn by way of algorithmic and mathematical research in all components relating the World-Wide internet with precise concentration to the view of advanced facts as networks.
Read or Download Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings PDF
Best algorithms books
"The Encyclopedia of Algorithms" will offer a complete set of strategies to special algorithmic difficulties for college kids and researchers attracted to fast finding helpful details. the 1st version of the reference will specialize in high-impact ideas from the latest decade; later versions will widen the scope of the paintings.
It is a accomplished evaluation of the fundamentals of fuzzy regulate, which additionally brings jointly a few fresh study leads to delicate computing, particularly fuzzy good judgment utilizing genetic algorithms and neural networks. This publication bargains researchers not just an outstanding historical past but additionally a image of the present state-of-the-art during this box.
This seminal paintings offers the single finished integration of vital themes in desktop structure and parallel algorithms. The textual content is written for designers, programmers, and engineers who have to comprehend those matters at a basic point on the way to make the most of the entire energy afforded through parallel computation.
Meet Frank Runtime. Disgraced ex-detective. Hard-boiled deepest eye. seek professional. whilst a theft hits police headquarters, it really is as much as Frank Runtime and his large seek talents to trap the culprits. during this detective tale, you will how one can use algorithmic instruments to resolve the case. Runtime scours smugglers' boats with binary seek, tails spies with a seek tree, escapes a jail with depth-first seek, and selections locks with precedence queues.
- WALCOM: Algorithms and Computation: 11th International Conference and Workshops, WALCOM 2017, Hsinchu, Taiwan, March 29–31, 2017, Proceedings
- Writing Efficient Programs
- Algorithms, graphs, and computers
- Computational Network Science: An Algorithmic Approach
- Algorithms for Sensor Systems: 7th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2011, Saarbrücken, Germany, September 8-9, 2011, Revised Selected Papers
- Word Sense Disambiguation: Algorithms and Applications
Additional info for Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings
We would like to maximize information while minimizing redundancy. In Fig. 4 we ordered the representative-clusterings to maximize setwise information. Minimizing redundancy came as a fortunate side-effect. Notice how each of the clusterings in 46 M. Rocklin and A. Pinar order is independent from the preceding ones. Knowing that a vertex is red in the first image tells you nothing about the color of the vertex in the second. The second therefore brings only novel information and no redundancy. To compute the information content of a set of clusterings we extend the Variation of Information metric in a natural way.
Bounds on the L2 spectrum for Markov chains and Markov processes: a generalization of Cheeger’s inequality. : Conductance and convergence of markov chainsa combinatorial treatment of expanders. In: Proc. of 30th FOCS, pp. : A Dirac-type theorem for 3-uniform hypergraphs. Combin. Probab. Comput. : An approximate Dirac-type theorem for k-uniform hypergraphs. : Laplacian eigenvalues and partition problems in hypergraphs. com Abstract. An (α, β)-community is a subset of vertices C with each vertex in C connected to at least β vertices of C (self-loops counted) and each vertex outside of C connected to at most α vertices of C (α < β) .
Moreover, by Detecting the Structure of Social Networks Using (α, β)-Communities 33 taking the intersection of a number of massively overlapping (α, β)-communities, the set of (α, β)-communities which diﬀer only by a few vertices is reduced to an underlying core. Thus, each (α, β)-community consists of one of a small number of cores and a few random peripheral vertices, and these peripheral vertices are what gives rise to such a large number of (α, β)-communities. Before proceeding to our experiments on other social networks, we provide a detailed discussion on the core structure.
Algorithms and Models for the Web Graph: 8th International Workshop, WAW 2011, Atlanta, GA, USA, May 27-29, 2011. Proceedings by Evimaria Terzi, Marco Winkler (auth.), Alan Frieze, Paul Horn, Paweł Prałat (eds.)