826 resultados para online social networks


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We study the time scales associated with diffusion processes that take place on multiplex networks, i.e., on a set of networks linked through interconnected layers. To this end, we propose the construction of a supra-Laplacian matrix, which consists of a dimensional lifting of the Laplacian matrix of each layer of the multiplex network. We use perturbative analysis to reveal analytically the structure of eigenvectors and eigenvalues of the complete network in terms of the spectral properties of the individual layers. The spectrum of the supra-Laplacian allows us to understand the physics of diffusionlike processes on top of multiplex networks.

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Effective coordination is key to many situations that affect the well-being of two or more humans. Social coordination can be studied in coordination games between individuals located on networks of contacts. We study the behavior of humans in the laboratory when they play the Stag Hunt game - a game that has a risky but socially efficient equilibrium and an inefficient but safe equilibrium. We contrast behavior on a cliquish network to behavior on a random network. The cliquish network is highly clustered and resembles more closely to actual social networks than the random network. In contrast to simulations, we find that human players dynamics do not converge to the efficient outcome more often in the cliquish network than in the random network. Subjects do not use pure myopic best-reply as an individual update rule. Numerical simulations agree with laboratory results once we implement the actual individual updating rule that human subjects use in our laboratory experiments.

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REBIUN study on Science 2.0 and social web applications for research. There are three categories: share research, share resources and share results. Describes the applications and selected resources of interest: scientific social networks, scientific databases, research platforms, surveys, concept maps, file sharing, bibliographic management, social bookmarking, citation indexes, blogs and wikis, science news, open access. The services are evaluated and the report describes his interest to libraries.

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REBIUN study on Science 2.0 and social web applications for research. There are three categories: share research, share resources and share results. Describes the applications and selected resources of interest: scientific social networks, scientific databases, research platforms, surveys, concept maps, file sharing, bibliographic management, social bookmarking, citation indexes, blogs and wikis, science news, open access. The services are evaluated and the report describes his interest to libraries.

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Learning objects have been the promise of providing people with high quality learning resources. Initiatives such as MIT Open-CourseWare, MERLOT and others have shown the real possibilities of creating and sharing knowledge through Internet. Thousands of educational resources are available through learning object repositories. We indeed live in an age of content abundance, and content can be considered as infrastructure for building adaptive and personalized learning paths, promoting both formal and informal learning. Nevertheless, although most educational institutions are adopting a more open approach, publishing huge amounts of educational resources, the reality is that these resources are barely used in other educational contexts. This paradox can be partly explained by the dificulties in adapting such resources with respect to language, e-learning standards and specifications and, finally, granularity. Furthermore, if we want our learners to use and take advantage of learning object repositories, we need to provide them with additional services than just browsing and searching for resources. Social networks can be a first step towards creating an open social community of learning around a topic or a subject. In this paper we discuss and analyze the process of using a learning object repository and building a social network on the top of it, with respect to the information architecture needed to capture and store the interaction between learners and resources in form of learning object metadata.

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En aquest projecte s'implementa una base de dades que gestiona un conjunt de regals en una xarxa social.

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La pérdida de autonomía a edades avanzadas no se asocia únicamente con el envejecimiento sino también con características del entorno físico y social. Investigaciones recientes han demostrado que la red social, la integración social y la participación, actúan como predictores de la discapacidad en la vejez. El objetivo de este trabajo es nalizar el efecto de la red social sobre el nivel de autonomía(en términos de discapacidad instrumental y básica) en etapas iniciales de la vejez.

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Interaction is a basic element in any educational process, and it is something that needs to be reconsidered in the light of technology. In order to examine the methodological changes that ICTs bring to teaching from an interaction perspective, a study was carried out at the University of Lleida to observe interaction processes in various face-to-face, blended learning and e-learning subjects. The methodological design was based on three data collection techniques: documentary analysis of subject curricula, lecturer and student questionnaires, and lecturer interviews. The data showed that, as the online component of subjects increased, the lecturers and students used more technological tools to communicate (e-mail, forums, chats, social networks, etc.). Furthermore, we found that the lecturers and students basically communicated for academic purposes. While they hardly ever communicated for personal reasons (guidance, support, etc.), they claimed that closer contact with a non-academic focus would be preferable. We also observed that the students’ work was more individual in e-learning subjects. Although there is still a considerable way to go in ICT-mediated lecturer-student interaction, both the lecturers and students recognise the potential of such technologies, even though they still do not use them as they feel they should.

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La interacción, un elemento básico en cualquier proceso formativo, debe replantearse con la irrupción de la tecnología. Con la intención de abordar los cambios metodológicos que las TIC implican en la docencia desde la perspectiva de la interacción que generan, se planteó un estudio en la Universidad de Lérida para observar los procesos que interactúan en diferentes asignaturas en función de si éstas se desarrollaban bajo la modalidad presencial, semipresencial o no presencial. El diseño metodológico se articuló alrededor de tres técnicas de recogida de datos: análisis documental de programas de asignaturas, cuestionarios a profesores y estudiantes y entrevistas a profesores. Los datos mostraron que, conforme aumenta la no presencialidad de las asignaturas, profesorado y estudiantado utilizaban más herramientas tecnológicas (correo electrónico, foro, chat, redes sociales...) para comunicarse. Además, el tipo de comunicación imperante tenía finalidades académicas, mientras que se producía una escasa interacción para aspectos más personales (de orientación, apoyo...); en este sentido, tanto profesorado como estudiantado preferirían un contacto más cercano no tan centrado en los elementos académicos del proceso. También observamos que en las asignaturas en línea se desarrolla un trabajo más individual por parte del estudiantado. Aunque todavía queda camino por recorrer en la interacción docente-discente a través de las TIC, los agentes implicados en el proceso reconocen sus potencialidades, pero aún no las utilizan como consideran que convendría hacerse.

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Motivated by experiments on activity in neuronal cultures [J. Soriano, M. Rodr ́ıguez Mart́ınez, T. Tlusty, and E. Moses, Proc. Natl. Acad. Sci. 105, 13758 (2008)], we investigate the percolation transition and critical exponents of spatially embedded Erd̋os-Ŕenyi networks with degree correlations. In our model networks, nodes are randomly distributed in a two-dimensional spatial domain, and the connection probability depends on Euclidian link length by a power law as well as on the degrees of linked nodes. Generally, spatial constraints lead to higher percolation thresholds in the sense that more links are needed to achieve global connectivity. However, degree correlations favor or do not favor percolation depending on the connectivity rules. We employ two construction methods to introduce degree correlations. In the first one, nodes stay homogeneously distributed and are connected via a distance- and degree-dependent probability. We observe that assortativity in the resulting network leads to a decrease of the percolation threshold. In the second construction methods, nodes are first spatially segregated depending on their degree and afterwards connected with a distance-dependent probability. In this segregated model, we find a threshold increase that accompanies the rising assortativity. Additionally, when the network is constructed in a disassortative way, we observe that this property has little effect on the percolation transition.

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While problematic Internet use is recognized to be predominant among male adolescents, a female trend is gradually becoming apparent. Our study aimed at investigating the characteristics of female Internet users and distinguishing between the online activities of problematic and regular Internet users' on school days. Data were retrieved from a cross-sectional survey of a representative sample of 3067 8th graders in the canton of Vaud, Switzerland, that completed an online questionnaire in 2012. Only females were included. Based on the Internet addiction test, the sample was divided into regular (RUs) (IAT < 50, n = 1339) and problematic users (PIUs) (IAT ≥ 50, n = 201). Groups were compared regarding sociodemographic variables, online activities, devices used to access the Internet, substance use, and physical activity. Significant variables were included in a backward logistic regression. At the multivariate level, PIUs were more prone to spend time online for leisure activities (odds ratio [OR] 2.38) and to access the Internet through a smartphone (OR 1.79) or tablet (OR 1.84). PIUs were less likely to be physically active (OR 0.86) and more likely to present poor emotional well-being (OR 2.67) and to smoke (OR 1.88). CONCLUSION: A sizeable percentage of female adolescents are problematic Internet users. When performing a comprehensive biopsychosocial assessment, teenagers owning numerous devices to access the Internet, presenting other health-compromising behaviors or poor emotional well-being should be specifically targeted. WHAT IS KNOWN: ? Problematic Internet use has been found to be predominant among males. ? Specific online activities have been identified as being addictive for young men and women differently. ? Problematic Internet use is known to impact in several ways the general health and daily functioning of teenagers. What is New: ? A sizeable percentage of female adolescents are problematic Internet users. ? Tobacco use, poor well-being, as well as compact devices to access the Internet are positively related to problematic Internet use. ? In addition to their special interest in online social and communicational activities, female problematic Internet users also reported more online gambling.

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Social interactions are a very important component in people"s lives. Social network analysis has become a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore the characteristics of a social network extracted from multimodal dyadic interactions. For our study, we used a set of videos belonging to New York Times" Blogging Heads opinion blog. The Social Network is represented as an oriented graph, whose directed links are determined by the Influence Model. The links" weights are a measure of the"influence" a person has over the other. The states of the Influence Model encode automatically extracted audio/visual features from our videos using state-of-the art algorithms. Our results are reported in terms of accuracy of audio/visual data fusion for speaker segmentation and centrality measures used to characterize the extracted social network.

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This thesis describes the development of a software requirements specification for a user-centric event management system. The system is set to satisfy three goals: adding value for the event attendees, adding value for the event organizer, and reducing the costs of arranging and running an event. The requirements are identified by researching the prescriptive traits of event business and the current state of the case company and its environment. First the professional and human needs for events are scrutinized. Second, some recent reports about the current trends in the event business are reviewed. Then the event life cycle is presented using the model of new service development, and online promotion of events and especially word-of-mouth marketing receive special attention. Events are also regarded from the perspective of social networks and social media. The case company’s current state and its competitors are reviewed to formulate the needs which the system should fulfil. Then the currently available solutions for social media oriented event management are reviewed. The result is a set of functional and non-functional requirements. The functional requirements are categorized into social media, social networking, event personalization, event management, and system administration features. The specified features and non-functional requirements satisfy the three goals set for the system.

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We develop an analytical approach to the susceptible-infected-susceptible epidemic model that allows us to unravel the true origin of the absence of an epidemic threshold in heterogeneous networks. We find that a delicate balance between the number of high degree nodes in the network and the topological distance between them dictates the existence or absence of such a threshold. In particular, small-world random networks with a degree distribution decaying slower than an exponential have a vanishing epidemic threshold in the thermodynamic limit.

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One of the more challenging tasks in the understanding of dynamical properties of models on top of complex networks is to capture the precise role of multiplex topologies. In a recent paper, Gómez et al. [ Phys. Rev. Lett. 110 028701 (2013)], some of the authors proposed a framework for the study of diffusion processes in such networks. Here, we extend the previous framework to deal with general configurations in several layers of networks and analyze the behavior of the spectrum of the Laplacian of the full multiplex. We derive an interesting decoupling of the problem that allow us to unravel the role played by the interconnections of the multiplex in the dynamical processes on top of them. Capitalizing on this decoupling we perform an asymptotic analysis that allow us to derive analytical expressions for the full spectrum of eigenvalues. This spectrum is used to gain insight into physical phenomena on top of multiplex, specifically, diffusion processes and synchronizability.