Facebook como o novo canal de distribuição de notícias

As redes sociais estão a mudar a forma como os leitores acedem a conteúdos noticiosos e interagem com eles, não só recomendando notícias como facilitando conversas. Hoje, o Facebook é parte do quotidiano de um quinto da população mundial. Mas poderá esta rede social ser um canal de distribuição de notícias online? Esta investigação a que nos propomos tem por base o estudo de caso do Correio da Manhã, um dos jornais portugueses com maior circulação em papel e que se tornou líder no digital, em grande parte, graças à sua estratégia nas redes sociais. A análise e a aplicação de conceitos sobre o uso do Facebook, com vista ao aumento das audiências de um site noticioso, permitem tirar conclusões, quantitativas e qualitativas, sobre a problemática em questão. Como podem as publicações jornalísticas tirar melhor partido do Facebook? Deverá o jornalismo digital especializar-se na distribuição de notícias através das redes sociais? Quais as estratégias a aplicar para incrementar as audiências de um website através do Facebook como canal de distribuição? Neste contexto, pretendeu-se fazer uma análise sobre a forma como os meios de comunicação social estão a usar o Facebook para uma abordagem das melhores práticas jornalísticas nesta rede social. É nosso propósito examinar o papel das notícias no Facebook e a forma como os jornalistas se devem comportar, numa tentativa de criar regras para se tirar o melhor proveito do Facebook em função das audiências

Human mobility patterns at the smallest scales

We present a study on human mobility at small spatial scales. Differently from large scale mobility, recently studied through dollar-bill tracking and mobile phone data sets within one big country or continent, we report Brownian features of human mobility at smaller scales. In particular, the scaling exponents found at the smallest scales is typically close to one-half, differently from the larger values for the exponent characterizing mobility at larger scales. We carefully analyze 12-month data of the Eduroam database within the Portuguese university of Minho. A full procedure is introduced with the aim of properly characterizing the human mobility within the network of access points composing the wireless system of the university. In particular, measures of flux are introduced for estimating a distance between access points. This distance is typically non-Euclidean, since the spatial constraints at such small scales distort the continuum space on which human mobility occurs. Since two different ex- ponents are found depending on the scale human motion takes place, we raise the question at which scale the transition from Brownian to non-Brownian motion takes place. In this context, we discuss how the numerical approach can be extended to larger scales, using the full Eduroam in Europe and in Asia, for uncovering the transi- tion between both dynamical regimes.

Implicit sequence learning in recurrent neural networks

Magdeburg, Univ., Fak. für Elektrotechnik, Diss., 2013

Mathematical modeling and evolution of signal transduction pathways and networks

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2013

Captura i filtrat de paquets a xarxesEthernet

Aquest treball se centra en les tècniques de captura i filtratge de paquets a xarxes Ethernet. Com objectiu principal ens hem fixat l¿estudi de les estructures implementades pel sistema operatiu i la interfície oferta als programadors per tal de poder utilitzar-la. Com a objectiu secundari pretenem, posar a la practica els coneixements obtinguts i desenvolupar un producte sòlid i robust en la seva funcionalitat bàsica, filtrar i capturar paquets, però que sigui extensible a altres aplicacions orientades a xarxa. Anàlisis de rendiment de la xarxa, per exemple.

Desenvolupament d'un analitzador de xarxa (SNIFFER)

Desenvolupament d'un sniffer propi que capturarà el trànsit de la xarxa i es podrà analitzar. Per a això es generarà un entorn gràfic tant per a la captura com l'anàlisi final, obtenint percentatge de dades i tipus de paquets capturats

Mycorrhizal ecology and evolution: the past, the present, and the future.

1406 I. 1407 II. 1408 III. 1410 IV. 1411 V. 1413 VI. 1416 VII. 1418 1418 References 1419 SUMMARY: Almost all land plants form symbiotic associations with mycorrhizal fungi. These below-ground fungi play a key role in terrestrial ecosystems as they regulate nutrient and carbon cycles, and influence soil structure and ecosystem multifunctionality. Up to 80% of plant N and P is provided by mycorrhizal fungi and many plant species depend on these symbionts for growth and survival. Estimates suggest that there are c. 50 000 fungal species that form mycorrhizal associations with c. 250 000 plant species. The development of high-throughput molecular tools has helped us to better understand the biology, evolution, and biodiversity of mycorrhizal associations. Nuclear genome assemblies and gene annotations of 33 mycorrhizal fungal species are now available providing fascinating opportunities to deepen our understanding of the mycorrhizal lifestyle, the metabolic capabilities of these plant symbionts, the molecular dialogue between symbionts, and evolutionary adaptations across a range of mycorrhizal associations. Large-scale molecular surveys have provided novel insights into the diversity, spatial and temporal dynamics of mycorrhizal fungal communities. At the ecological level, network theory makes it possible to analyze interactions between plant-fungal partners as complex underground multi-species networks. Our analysis suggests that nestedness, modularity and specificity of mycorrhizal networks vary and depend on mycorrhizal type. Mechanistic models explaining partner choice, resource exchange, and coevolution in mycorrhizal associations have been developed and are being tested. This review ends with major frontiers for further research.

Resting-state temporal synchronization networks emerge from connectivity topology and heterogeneity.

Spatial patterns of coherent activity across different brain areas have been identified during the resting-state fluctuations of the brain. However, recent studies indicate that resting-state activity is not stationary, but shows complex temporal dynamics. We were interested in the spatiotemporal dynamics of the phase interactions among resting-state fMRI BOLD signals from human subjects. We found that the global phase synchrony of the BOLD signals evolves on a characteristic ultra-slow (<0.01Hz) time scale, and that its temporal variations reflect the transient formation and dissolution of multiple communities of synchronized brain regions. Synchronized communities reoccurred intermittently in time and across scanning sessions. We found that the synchronization communities relate to previously defined functional networks known to be engaged in sensory-motor or cognitive function, called resting-state networks (RSNs), including the default mode network, the somato-motor network, the visual network, the auditory network, the cognitive control networks, the self-referential network, and combinations of these and other RSNs. We studied the mechanism originating the observed spatiotemporal synchronization dynamics by using a network model of phase oscillators connected through the brain's anatomical connectivity estimated using diffusion imaging human data. The model consistently approximates the temporal and spatial synchronization patterns of the empirical data, and reveals that multiple clusters that transiently synchronize and desynchronize emerge from the complex topology of anatomical connections, provided that oscillators are heterogeneous.

Synchronization reveals topological scales in complex networks

We study the relationship between topological scales and dynamic time scales in complex networks. The analysis is based on the full dynamics towards synchronization of a system of coupled oscillators. In the synchronization process, modular structures corresponding to well-defined communities of nodes emerge in different time scales, ordered in a hierarchical way. The analysis also provides a useful connection between synchronization dynamics, complex networks topology, and spectral graph analysis.

Coordination on Networks: Does Topology Matter?

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.

Avaliação do uso de métodos quimiométricos em análise de solos

One of the major interests in soil analysis is the evaluation of its chemical, physical and biological parameters, which are indicators of soil quality (the most important is the organic matter). Besides there is a great interest in the study of humic substances and on the assessment of pollutants, such as pesticides and heavy metals, in soils. Chemometrics is a powerful tool to deal with these problems and can help soil researchers to extract much more information from their data. In spite of this, the presence of these kinds of strategies in the literature has obtained projection only recently. The utilization of chemometric methods in soil analysis is evaluated in this article. The applications will be divided in four parts (with emphasis in the first two): (i) descriptive and exploratory methods based on Principal Component Analysis (PCA); (ii) multivariate calibration methods (MLR, PCR and PLS); (iii) methods such as Evolving Factor Analysis and SIMPLISMA; and (iv) artificial intelligence methods, such as Artificial Neural Networks.

Strategic management of value networks: how to create value in cross-sector collaboration and partnerships

Cross-sector collaboration and partnerships have become an emerging and desired strategy in addressing huge social and environmental challenges. Despite its popularity, cross-sector collaboration management has proven to be very challenging. Even though cross-sector collaboration and partnership management have been widely studied and discussed in recent years, their effectiveness as well as their ability to create value with respect to the problems they address has remained very challenging. There is little or no evidence of their ability to create value. Regarding all these challenges, this study aims to explore how to manage cross-sector collaborations and partnerships to be able to improve their effectiveness and to create more value for all partners involved in collaboration as well as for customers. The thesis is divided into two parts. The first part comprises an overview of relevant literature (including strategic management, value networks and value creation theories), followed by presenting the results of the whole thesis and the contribution made by the study. The second part consists of six research publications, including both quantitative and qualitative studies. The chosen research strategy is triangulation, as the study includes four types of triangulation: (1) theoretical triangulation, (2) methodological triangulation, (3) data triangulation and (4) researcher triangulation. Two publications represent conceptual development, which are based on secondary data research. One publication is a quantitative study, carried out through a survey. The other three publications represent qualitative studies, based on case studies, where data was collected through interviews and workshops, with participation of managers from all three sectors: public, private and the third (nonprofit). The study consolidates the field of “strategic management of value networks,” which is proposed to be applied in the context of cross-sector collaboration and partnerships, with the aim of increasing their effectiveness and the process of value creation. Furthermore, the study proposes a first definition for the strategic management of value networks. The study also proposes and develops two strategy tools that are recommended to be used for the strategic management of value networks in cross-sector collaboration and partnerships. Taking a step forward, the study implements the strategy tools in practice, aiming to show and to demonstrate how new value can be created by using the developed strategy tools for the strategic management of value networks. This study makes four main contributions. (1) First, it brings a theoretical contribution by providing new insights and consolidating the field of strategic management of value networks, also proposing a first definition for the strategic management of value networks. (2) Second, the study makes a methodical contribution by proposing and developing two strategy tools for value networks of cross-sector collaboration: (a) value network mapping, a method that allows us to assess the current and the potential value network and (b) the Value Network Scorecard, a method of performance measurement and performance prediction in cross-sector collaboration. (3) Third, the study has managerial implications, offering new solutions and empirical evidence on how to increase the effectiveness of cross-sector collaboration and also allow managers to understand how new value can be created in cross-sector partnerships and how to get the full potential of collaboration. (4) And fourth, the study also has practical implications, allowing managers to understand how to use in practice the strategy tools developed in this study, providing discussions on the limitations regarding the proposed tools as well as general limitations involved in the study.

L’identification et l’impact de différents types de réseaux sociaux dans les trajectoires de vie de personnes assistées sociales

Ce mémoire traite du rôle des réseaux sociaux dans les trajectoires de vie des personnes qui vivent de l’aide sociale au Québec. La discrimination et la stigmatisation sont des processus émanant de rapports sociaux dans lesquels peuvent être inscrites ces personnes du fait de leurs conditions de vie précaires. L’analyse des réseaux sociaux pourrait nous permettre de découvrir certaines dynamiques, propres à ces rapports sociaux, en portant sur leur caractère qualitatif et temporel. Nous avons eu recours aux récits de vie afin d’identifier certains réseaux sociaux émergeant du discours et d’élaborer un modèle d’analyse qualitative des réseaux sociaux dans une perspective de trajectoire de vie. Cette étape a permis de percevoir l’existence d’un lien entre certains événements importants du récit et les transformations des relations. Nous avons également relevé dans le discours des indicateurs de la qualité des contacts selon leur contribution « positive », « négative » ou « neutre » dans la trajectoire. La comparaison des trajectoires des personnes sélectionnées a permis d’identifier des morphologies de réseaux similaires et de dresser une typologie. Les types ont pu être identifiés en fonction des trois catégories dominantes de contacts évoquées par les répondants : la famille, les connaissances, et les organismes. La mention de l’aide sociale, de contacts en psychiatrie ou même le passage sous silence par le répondant d’une de ces catégories a permis de nuancer la typologie et de recenser onze types de réseaux. Afin d’évaluer l’intérêt de ce modèle d’analyse, nous avons tenté une opérationnalisation exploratoire de la typologie.

La gouvernance nodale de la sécurité locale

Le présent travail de recherche se propose d’analyser les dispositifs de gouvernance nodale de la sécurité locale en France, alors que le paradigme a vu le jour et s’est développé dans les pays anglo-saxons fortement décentralisés. C’est qu’en France les dispositifs de gouvernance nodale s’apparentent bien plus à un dialogue entre central et local qu’entre secteur public et privé. La recherche identifie ainsi les caractéristiques de la gouvernance nodale au cœur des dispositifs partenariaux de la sécurité locale, supportés par le Contrat Local de Sécurité (CLS), le Conseil Local de Sécurité et de Prévention de la Délinquance (CLSPD) ou encore le Groupe Local de Traitement de la Délinquance (GLTD). La recherche identifie ainsi les stratégies de décentrage de l’État et de transfert de la production de sécurité vers une diversité d’acteurs locaux, dont les maires et les services municipaux. Une diversité de politiques publiques locales de sécurité de pertinences différentes voit alors le jour. Le premier enseignement de cette recherche est l’importance du rôle joué par le node super-structurel, que nous appelons super-node et qui regroupe le maire ou l’élu local à la sécurité, le responsable de la police d’État, celui de la police municipale et le représentant de l’État. Il apparaît que dans le dispositif de gouvernance nodale, ce groupe informel génère la dynamique collective qui permet de regrouper, tant les producteurs que les consommateurs de sécurité locale gravitant au sein du réseau local de sécurité. La quarantaine d’entrevues qualitatives permet également d’identifier que la Justice, productrice de sécurité comme peut l’être aussi la sécurité privée ou la médiation sociale, apparaît plus distante que ce que pouvait laisser penser l’étude des textes réglementaires organisant le partenariat. Les bailleurs sociaux, les transporteurs et l’Éducation nationale apparaissent clairement comme des acteurs importants, mais périphériques de sécurité, en intégrant cette « famille élargie » de la sécurité locale. Le deuxième enseignement est relatif au fonctionnement même du dispositif nodal ainsi que du super-node, la recherche permettant d’identifier les ressources mutualisées par l’ensemble des nodes. Cela permet également d’identifier les mécanismes de répartition des tâches entre les différents acteurs et plus particulièrement entre les deux organisations policières d’État et municipale, travaillant autant en compétition, qu’en complémentarité. Cette recherche explore également le rôle joué par l’information dans le fonctionnement du super-node ainsi que l’importance de la confiance dans les relations interpersonnelles des représentants des nodes au sein du super-node. Enfin, l’étude permet également de mettre en perspective les limites du dispositif actuel de gouvernance nodale : le défaut avéré d’outils performants permettant d’informer convenablement le super-node quant aux phénomènes de violence ainsi que d’évaluer l’efficience du dispositif. Cela permet également de questionner l’autonomie des dispositifs de gouvernance nodale, la confiance pouvant ouvrir à la déviance et la collégialité au défaut de la traçabilité de la responsabilité. La fracture avec la société civile apparaît clairement et ne facilite pas le contrôle sur un mode de production de sécurité qui se développe en parallèle des dispositifs traditionnels de démocratie locale.