Search results for "Networks"

GSWABE: faster GPU-accelerated sequence alignment with optimal alignment retrieval for short DNA sequences

2014

In this paper, we present GSWABE, a graphics processing unit GPU-accelerated pairwise sequence alignment algorithm for a collection of short DNA sequences. This algorithm supports all-to-all pairwise global, semi-global and local alignment, and retrieves optimal alignments on Compute Unified Device Architecture CUDA-enabled GPUs. All of the three alignment types are based on dynamic programming and share almost the same computational pattern. Thus, we have investigated a general tile-based approach to facilitating fast alignment by deeply exploring the powerful compute capability of CUDA-enabled GPUs. The performance of GSWABE has been evaluated on a Kepler-based Tesla K40 GPU using a varie…

A distributed-memory MPI parallelization scheme for multi-domain incompressible SPH

2022

A parallel scheme for a multi-domain truly incompressible smoothed particle hydrodynamics (SPH) approach is presented. The proposed method is developed for distributed-memory architectures through the Message Passing Interface (MPI) paradigm as communication between partitions. The proposal aims to overcome one of the main drawbacks of the SPH method, which is the high computational cost with respect to mesh-based methods, by coupling a multi-resolution approach with parallel computing techniques. The multi-domain approach aims to employ different resolutions by subdividing the computational domain into non-overlapping blocks separated by block interfaces. The particles belonging to differe…

Studying micro-communities in Facebook Communities

2018

In the visionary view of the future Internet, named the Next Generation Internet, a current idea is to have a user-centric approach where human behavior models will be used to define the networks or to manage services. During the last years, a great trend in current Social Media platforms is to offer the opportunity to establish and join groups of people online. Despite human behaviour in current Online Social Media have been studied in depth, characteristics of these aggregations of people in content-based communities are still unknown. In this paper, we propose an evaluation of micro-communities of users inside the big network of Facebook groups to understand how and when users are active…

Tourism and Social Networks: Sicily brand image diffusion through electronic word of mouth (EWOM) on Facebook

2013

Ranking-based Ties Social Networks : an illustration based on a system of Fashion Capital Cities in the world.

2012

Our paper aims to apply a non-conventional Social Network Analysis to a network generated from an initial sorting of data with mere order. The aim is to test whether and how one relationship set 'conveniently' generated by the ranking is able to provide a coherent system of interactions with possible practical and theoretical utility. We consider a system of city distributions where we focus on ¿Ranking-Based Ties¿ social networks, considering a system of 'objects' of the same class that would be able to interact. The objects in question are ordered according to their 'performance' in a particular ranking. According to a survey developed by Global Langu…

The reliability and validity of the sport engagement instrument in the Finnish dual career context

2021

Although engagement is key to predicting burnout and dropout, few existing instruments measure this phenomenon in the sports context. As part of a larger three-year Lower Secondary Sports Schools Pilot Project (LSSSPP) in Finland, we conducted two studies as part of the present research with the major aims of (a) constructing the Sport Engagement Instrument (SpEI) and (b) validating the new instrument in the Finnish dual career context. In the preparatory study, an expert panel constructed the SpEI, a questionnaire comprising 37 items intended to measure cognitive and affective sports engagement. The main study utilised questionnaire data collected from two independent samples (n1 = 992 and…

Who is the Perfect Match?

2018

Abstract Using digital tools for teaching allows to unburden teachers from organizational load and even provides qualitative improvements that are not achieved in traditional teaching. Algorithmically supported learning group formation aims at optimizing group composition so that each learner can achieve his or her maximum learning gain and learning groups stay stable and productive. Selecting and weighting relevant criteria for learning group formation is an interdisciplinary challenge. This contribution presents the status quo of algorithmic approaches and respective criteria for learning group formation. Based on this theoretical foundation, we describe an empirical study that investigat…

Tejiendo redes en trabajo social : Certs-España

2004

La creación de un Centro Europeo de Recursos para la Investigación en Trabajo Social -en adelante CERTS- fue presentado por la Escuela Superior de Trabajo Social de Paris (CERTS-ETSUP) y aprobado en diciembre de 2001 por la Dirección General de Investigación de la Comisión Europea, en el marco de las medidas de acompañamiento del Programa Potential Human. El objetivo general de CERTS-ETSUP es hacer visibles los trabajos de investigación y dinamizar un medio de búsqueda en el campo de Trabajo Social. En esta línea trabaja CERTS-España, cuyo objetivo es consolidar la Red Nacional de CERTS (Centro Europeo de Recursos para la Investigación en Trabajo Social) en el estado español, para conseguir…

Election Manipulation on Social Networks: Seeding, Edge Removal, Edge Addition

2021

We focus on the election manipulation problem through social influence, where a manipulator exploits a social network to make her most preferred candidate win an election. Influence is due to information in favor of and/or against one or multiple candidates, sent by seeds and spreading through the network according to the independent cascade model. We provide a comprehensive study of the election control problem, investigating two forms of manipulations: seeding to buy influencers given a social network, and removing or adding edges in the social network given the seeds and the information sent. In particular, we study a wide range of cases distinguishing for the number of candidates or the…

Multilayer Network Model of Movie Script

2018

Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The network model well captures all characters interactions, giving a broad picture of the narration's content. A few works went beyond by introducing additional semantic elements, always captured in a single layer network. In contrast, we introduce in this work a multilayer network model to capture more elements of the narration of a movie from its script: people, locations, and other semantic elements. This model enables new measures and insights…