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Author (up) Calderón, F.; Lozada, A.; Morales, P.; Bórquez-Paredes, D.; Jara, N.; Olivares, R.; Saavedra, G.; Beghelli, A.; Leiva, A, doi  openurl
  Title Heuristic Approaches for Dynamic Provisioning in Multi-band Elastic Optical Networks Type
  Year 2022 Publication IEEE Communications Letters Abbreviated Journal IEEE Commun. Lett.  
  Volume 26 Issue 2 Pages 379-383  
  Keywords Elastic Optical Networks; Multi-band; Band Allocation  
  Abstract Multi-band elastic optical networks are a promising alternative to meet the bandwidth demand of the ever-growing Internet traffic. In this letter, we propose a family of band allocation algorithms for multi-band elastic optical networks. Employing simulation, we evaluate the blocking performance of 3 algorithms of such a family and compare their performance with the only heuristic proposed to date. Results show that the three new algorithms outperform the previous proposal, with up to one order of magnitude improvement. We expect these results to help advance the area of dynamic resource allocation in multi-band elastic optical networks.  
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  Series Volume Series Issue Edition  
  ISSN 1089-7798 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000754246100037 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1489  
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Author (up) Moreno, S.; Bórquez-Paredes, D.; Martínez, V. doi  openurl
  Title Analysis of the Characteristics and Speed of Spread of the 'FUNA' on Twitter Type
  Year 2023 Publication Mathematics Abbreviated Journal Mathematics  
  Volume 11 Issue 7 Pages 1749  
  Keywords funa; social network analysis; network structure analysis; information spreading on social media  
  Abstract The funa is a prevalent concept in Chile that aims to expose a persons bad behavior, punish the aggressor publicly, and warn the community about it. Despite its massive use on the social networks of Chilean society, the real dissemination of funas among communities is unknown. In this paper, we extract, generate, analyze, and compare the Twitter social networks spread of three tweets related to �funas� against three other trending topics, through the analysis of global network characteristics over time (degree distribution, clustering coefficient, hop plot, and betweenness centrality). As observed, funas have a specific behavior, and they disseminate as quickly as a common tweet or more quickly; however, they spread thanks to several network users, generating a cohesive group.  
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  Series Volume Series Issue Edition  
  ISSN 2227-7390 ISBN Medium  
  Area Expedition Conference  
  Notes Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1762  
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