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Proceedings of the AAAI Conference on Artificial Intelligence, 2018
Many applications infer the structure of a probabilistic graphical model from data to elucidate the relationships between variables. But how can we train graphical models on a massive data set? In this paper, we show how to construct coresets---compressed data sets which can be used as proxy for the original data and have provably ...
Alejandro Molina 0001 +2 more
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Many applications infer the structure of a probabilistic graphical model from data to elucidate the relationships between variables. But how can we train graphical models on a massive data set? In this paper, we show how to construct coresets---compressed data sets which can be used as proxy for the original data and have provably ...
Alejandro Molina 0001 +2 more
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Core and periphery in networks
Journal of Economic Theory, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel A. Hojman, Adam Szeidl
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Community cores in evolving networks
Proceedings of the 21st International Conference on World Wide Web, 2012Community structure is a key property of complex networks. Many algorithms have been proposed to automatically detect communities in static networks but few studies have considered the detection and tracking of communities in an evolving network. Tracking the evolution of a given community over time requires a clustering algorithm that produces stable ...
Seifi, Massoud, Guillaume, Jean-Loup
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Progressive network recovery in optical core networks
2015 7th International Workshop on Reliable Networks Design and Modeling (RNDM), 2015Disasters hit telecommunication structures every year. As Earth becomes more disaster-prone, telecom networks, and especially optical networks due to their high capacity, should be designed to prepare against disasters. Although disaster resiliency for optical core networks has been subject of significant recent research, damages on the network ...
Sabeh, Kassem Al +2 more
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Core discovery in hidden networks
Data & Knowledge Engineering, 2019Abstract Network exploration is an important research direction with many applications. In such a setting, the network is, usually, modeled as a graph G , whereas any structural information of interest is extracted by inspecting the way nodes are connected together.
Panagiotis Strouthopoulos +1 more
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An Investigation on Core Network Latency
2020 30th International Telecommunication Networks and Applications Conference (ITNAC), 2020The growing adoption of 5G and cloud services places an increasing importance on the attainable point-to-point latency in Internet service provider networks. It directly impacts whether latency-critical services can be offered as well as the number and location of the corresponding data centers.
Uwe Bauknecht, Tobias Enderle
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In-NetDC: The Cloud in Core Networks
IEEE Communications Letters, 2012Emerging applications demand more efficient ways to handle the large amount of traffic they generate and send across sites. The current architecture of Content Delivery Network locates nodes at the network edges with fixed and pre-determined capacity, which is not suitable for dynamic behaviour of many services.
Suksant Sae Lor +2 more
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Core Percolation in Coupled Networks
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017Core percolation is crucial in network controllability and robustness. Prior works are mainly based on single, non-interacting network where core nodes are obtained by a classic Greedy Leaf Removal (GLR) procedure that takes of leaf nodes along with their neighbors iteratively.
Jiayu Pan +3 more
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