Browsing by Subject "Computer Science, Software Engineering"
Now showing items 1-8 of 8
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Edge betweenness centrality: A novel algorithm for QoS-based topology control over wireless sensor networks
(2012)In this paper we propose a novel topology-control algorithm, called edge betweenness centrality (EBC). EBC is based on the concept of betweenness centrality, which has been first introduced in the context of social network ... -
Effective rank aggregation for metasearching
(2011)Nowadays, mashup services and especially metasearch engines play an increasingly important role on the Web. Most of users use them directly or indirectly to access and aggregate information from more than one data sources. ... -
Emergency Connectivity in Ad-hoc Networks with Selfish Nodes
(2014)Inspired by the CONFIDANT protocol (Buchegger and Boudec in Proceedings of the 3rd ACM International Symposium on Mobile Ad Hoc Networking & Computing, pp. 226-236, 2002), we define and study a basic reputation-based ... -
Lifespan and propagation of information in On-line Social Networks: A case study based on Reddit
(2015)Since 1950, information flows have been in the center of scientific research. Up until the Internet penetration in the late 1990s, these information flow studies were based on traditional offline social networks. From the ... -
Linear and Quadratic Complexity Bounds on the Values of the Positive Roots of Polynomials
(2009)In this paper we review the existing linear and quadratic complexity (upper) bounds on the values of the positive roots of polynomials and their impact on the performance of the Vincent-Akritas-Strzebonski (VAS) continued ... -
LR-tree: A logarithmic decomposable spatial index method
(2003)Since its introduction in 1984, R-tree has been proven to be one of the most practical and well-behaved data structures for accommodating dynamic massive sets of geometric objects and conducting a very diverse set of queries ... -
Real time enhanced random sampling of online social networks
(2014)Social graphs can be easily extracted from Online Social Networks (OSNs). However, as the size and evolution of this kind of networks increases over time, conventional sampling methods used to evaluate large graph information ...