838 resultados para Networks analysis


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Part 19: Knowledge Management in Networks

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Background: A genetic network can be represented as a directed graph in which a node corresponds to a gene and a directed edge specifies the direction of influence of one gene on another. The reconstruction of such networks from transcript profiling data remains an important yet challenging endeavor. A transcript profile specifies the abundances of many genes in a biological sample of interest. Prevailing strategies for learning the structure of a genetic network from high-dimensional transcript profiling data assume sparsity and linearity. Many methods consider relatively small directed graphs, inferring graphs with up to a few hundred nodes. This work examines large undirected graphs representations of genetic networks, graphs with many thousands of nodes where an undirected edge between two nodes does not indicate the direction of influence, and the problem of estimating the structure of such a sparse linear genetic network (SLGN) from transcript profiling data. Results: The structure learning task is cast as a sparse linear regression problem which is then posed as a LASSO (l1-constrained fitting) problem and solved finally by formulating a Linear Program (LP). A bound on the Generalization Error of this approach is given in terms of the Leave-One-Out Error. The accuracy and utility of LP-SLGNs is assessed quantitatively and qualitatively using simulated and real data. The Dialogue for Reverse Engineering Assessments and Methods (DREAM) initiative provides gold standard data sets and evaluation metrics that enable and facilitate the comparison of algorithms for deducing the structure of networks. The structures of LP-SLGNs estimated from the INSILICO1, INSILICO2 and INSILICO3 simulated DREAM2 data sets are comparable to those proposed by the first and/or second ranked teams in the DREAM2 competition. The structures of LP-SLGNs estimated from two published Saccharomyces cerevisae cell cycle transcript profiling data sets capture known regulatory associations. In each S. cerevisiae LP-SLGN, the number of nodes with a particular degree follows an approximate power law suggesting that its degree distributions is similar to that observed in real-world networks. Inspection of these LP-SLGNs suggests biological hypotheses amenable to experimental verification. Conclusion: A statistically robust and computationally efficient LP-based method for estimating the topology of a large sparse undirected graph from high-dimensional data yields representations of genetic networks that are biologically plausible and useful abstractions of the structures of real genetic networks. Analysis of the statistical and topological properties of learned LP-SLGNs may have practical value; for example, genes with high random walk betweenness, a measure of the centrality of a node in a graph, are good candidates for intervention studies and hence integrated computational – experimental investigations designed to infer more realistic and sophisticated probabilistic directed graphical model representations of genetic networks. The LP-based solutions of the sparse linear regression problem described here may provide a method for learning the structure of transcription factor networks from transcript profiling and transcription factor binding motif data.

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This paper studies the problem of selecting users in an online social network for targeted advertising so as to maximize the adoption of a given product. In previous work, two families of models have been considered to address this problem: direct targeting and network-based targeting. The former approach targets users with the highest propensity to adopt the product, while the latter approach targets users with the highest influence potential – that is users whose adoption is most likely to be followed by subsequent adoptions by peers. This paper proposes a hybrid approach that combines a notion of propensity and a notion of influence into a single utility function. We show that targeting a fixed number of high-utility users results in more adoptions than targeting either highly influential users or users with high propensity.

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Atualmente observa-se uma expressiva perda de biodiversidade global resultante de atividades antrópicas, sendo a introdução de espécies exóticas uma das mais impactantes. A jaqueira Artocarpus heterophyllus é uma espécie exótica introduzida no Brasil durante o período colonial, sendo considerada invasora em diversas localidades. Na Mata Atlântica invade áreas de mata aberta e de borda, habitualmente associadas a ambientes antrópicos. Na Ilha Grande é encontrada em grande abundância em decorrência do histórico de ocupação humana. Para compreender como a mastofauna responde a presença da jaqueira, o Laboratório de Ecologia de Mamíferos da Universidade do Estado do Rio de Janeiro (UERJ) vem desenvolvendo um estudo ao longo de seis anos nos arredores da Vila Dois Rios, localizada na face oceânica da Ilha Grande. A partir dos resultados prévios iniciou-se uma segunda etapa do estudo no mesmo local que buscou avaliar diferentes métodos de controle das jaqueiras. O presente estudo é uma continuação direta desses dois trabalhos anteriores e teve como objetivo acompanhar as respostas da comunidade de pequenos mamíferos no período imediatamente posterior ao controle. Durante 18 meses foram amostradas bimestralmente 18 grades, 10 aonde foi efetuado o controle das jaqueiras e 8 aonde não foi constatada a presença desta árvore. Em cada grade foram colocadas 11 armadilhas de captura viva sendo banana a isca utilizada. Os mamíferos capturados foram medidos e suas fezes coletadas. A quantidade de jacas em cada área também foi anotada bimensalmente. As fezes foram analisadas em laboratório e as sementes encontradas identificadas. Os resultados obtidos indicam que a influência de A. heterophyllus sobre a estrutura da comunidade de pequenos mamíferos foi menor após o tratamento de controle. A única espécie que parece ainda responder a abundância de jaqueiras é o roedor Trinomys dimidiatus, que apresentou densidades mais elevadas nas áreas em tratamento, porém mais próximas a resultados obtidos para espécies congêneres em áreas pouco antropizadas. Utilizando uma abordagem de redes complexas observamos que, embora T. dimidiatus seja a espécie mais abundante em termos de número de indivíduos, o gambá Didelphis aurita parece ser a espécie de mamífero mais importante para dispersão de sementes nativas, aparecendo como espécie com maior número de conexões com espécies de sementes nas redes contruídas para as áreas sem jaqueiras e com jaqueiras antes e após o tratamento. Finalmente, a partir dos dados obtidos criamos um modelo matemático para a população de T. dimidiatus dos arredores da Vila Dois Rios, baseado em um crescimento logístico. Os resultados do modelo proposto se mostraram correlacionados com os dados de abundância reais, de modo que ele parece ser um simulador adequado da população local.

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L'étude de la formation d'une communauté épistémique québécoise en santé publique en ayant recours à l'interactionnisme-structural permet d'appréhender ce phénomène social sous l'angle d'une influence réciproque entre d'une part des acteurs sociaux interagissant entre-eux et d'autre part, des conceptualisations variées des objets de santé publique; ces éléments sociaux et sémantiques subissent des transformations simultanées. Notre étude démontre et illustre qu'au même moment où un réseau social de chercheurs prend forme, une thématique nouvelle prend place et rallie ces mêmes chercheurs, non pas seulement dans leurs relations sociales, mais dans les idées qu'ils manipulent lors de leur travail de production et de diffusion de connaissances; les identités sociales se lient, mais pas au hasard, parce qu'elles partagent des éléments sémantiques communs. C'est notamment en explorant 20 ans de collaborations scientifiques à l'aide d'outils d'analyse de réseaux, d'analyse en composantes discrètes et par l'exporation de treillis de Galois que cette étude a été menée. Notre approche est principalement exploratoire et une attention toute particulière est portée sur les aspects méthodologiques et théoriques du travail de recherche scientifique.

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Les professions ont acquis une importance considérable à travers les sociétés modernes. Lors de la modernisation du Code des professions au Québec, les membres de l’Ordre des psychologues du Québec (OPQ) ont eu à se positionner sur les enjeux entourant les développements de leur profession. Ce mémoire analyse le lien entre la structure relationnelle constitutive de la socialisation effectuée par ce groupe professionnel. Ceci, au moment de la redéfinition du cadre législatif en matière de psychothérapie. Des analyses de réseaux sur onze temps, de deux types de capital social, permettent de saisir les corollaires des structures relationnelles sur la socialisation de l’Ordre professionnel. Puis, les discours écrits sur la modernisation dans leur revue professionnelle sont résumés dans un narratif permettant l’analyse des stratégies de leur socialisation. Bien que contingent, la forme de la structure relationnelle stabilise la socialisation des membres. La structure relationnelle amène le capital social collectif à densifier le réseau des relations internes du groupe et permet l’essor, par l’intermédiarité des membres ayant du capital social individuel, d’une culture réseau. Ces membres, bien positionnés dans l’ordre, conduisent la socialisation de l’ensemble du groupe durant les enjeux rencontrés. Le narratif corrobore la concordance des stratégies de socialisation des membres de l’OPQ aux objectifs des principes de l’Office des professions du Québec. Puisque névralgique, bien que contingent, la structure relationnelle de la socialisation participe de la différenciation de degré entre le modèle professionnel et les autres types de métiers.

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The study of foodscapes has spread throughout geography at the same time as food scholarship has spearheaded post-disciplinary research. This report argues that geographers have taken to post-disciplinarity to explore the ways that food is ‘more-than-food’ through analyses of the visceral nature of eating and politics and the vital (re)materializations of food’s cultural geographies. Visceral food geographies illuminate what I call the ‘contingent relationalities’ of food in the critical evaluation of the indeterminate, situated politics of ‘feeling food’ and those of the embodied collectivities of obesity. Questions remain, however, about how a visceral framework might be deployed for broader critiques within foodscapes and the study of human geography. The study of food’s vital materialisms opens up investigation into the practices of the ‘makings’ of meat, food waste and eating networks. Analysis of affect, embodiment and cultural practices is central to these theorizations and suggests consideration of the multiple materialisms of food, space and eating. There is, I contend, in the more radical, ‘post-relational’ approaches to food, the need for a note of caution. Exuberant claims for the ontological, vital agency of food should be tempered by, or at least run parallel to, critical questions of the real politik of political and practical agency in light of recent struggles over austerity, food poverty and food justice.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The increasing amount of information about public management conveyed by government electronic portals in the internet has attracted the attention of scientific research, which has resulted in reviews of the contribution of such channels of public communication for the expansion of citizenship. It is the duty of the government to inform citizens effectively as well as using effective language to deal with different ways of relating with each public. Based on data collected in the official social media of state government during search for Scientific Initiation PIBIC/CNPq entitled “Digital Democracy and Social Networks: Analysis of Use of Internet by the Government of State of Sao Paulo” and official strategic manuals of the first industry this work of course completion has analyzed practices and recommendations of the area to contribute to the development of strategies of public communication

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Using the method of Social Networks Analysis, we’ll try to see if politicians swap votes between them seeking support for their projects, to this end, we’ll first map the behavior, activities and contacts of the Senators of the Brazilian Federative Republic within all the fixed committees which had some vote during the 52nd Legislature, then we can see the most popular and central Senators to each committee. After this analysis we wish to answer the following question: did logrolling exist in the Brazilian Senate? Previously the empirical analysis and response to the problems posed, we’ll present the necessary theoretical introduction understood by reviewing the literature on relevant subjects, whether they are purely theoretical with respect to the exchange of support, or analytical about the Brazilian political system.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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This article aims to identify patterns in the organization of innovation network by mapping the network inventors of a cosmetics company and identifying ways to promote innovation capacity through interconnectivity. The research was conducted through case study methods, and, for this, inventors mappings were made, based on the records of patents previously surveyed, taking into consideration the linkage (internal or external) of each inventor with the company and also the amount of patent citations. It was identified higher hierarchy in networks with the presence of collaborators externals to the company as well as a possible higher technological content, since the amount of citations was higher compared to other networks. It is verified, finally, that inventors mappings (although a patent is not the only measuring factor of innovation) can identify key features to help a better management of innovation.