491 research outputs found
Deterministic Modularity Optimization
We study community structure of networks. We have developed a scheme for
maximizing the modularity Q based on mean field methods. Further, we have
defined a simple family of random networks with community structure; we
understand the behavior of these networks analytically. Using these networks,
we show how the mean field methods display better performance than previously
known deterministic methods for optimization of Q.Comment: 7 pages, 4 figures, minor change
Una estrategia europea renovada para las RUP:a partir de la Comunicación de la Comisión Europea 'Las regiones ultraperiféricas : una ventaja para Europa'
El derecho comunitario y la regulación de las especialidades fiscales de los artículos 25, 26 y 27 de la ley 19/1994
Degree of intervality of food webs: From body-size data to models
In food webs, the degree of intervality of consumers' diets is an indicator of the number of dimensions that are necessary to determine the niche of a species. Previous studies modeling food-web structure have shown that real networks are compatible with a high degree of diet contiguity. However, current models are also compatible with the opposite, namely that species' diets have relatively low contiguity. This is particularly true when one takes species' body size as a proxy for niche value, in which case the indeterminacy of diet contiguities provided by current models can be large. We propose a model that enables us to narrow down the range of possible values of diet contiguity. According to this model, we find that diet contiguity not only can be high, but must be high when species are ranked in ascending order of body size.This work was supported by a James S. Mc Donnell Foundation Research Award (R.G.), European Union Grant PIRG-GA-2010-277166 (R.G.), Spanish Ministerio de Ciencia e Innovación (MICINN) Grants FIS2009-13370-C02-01 A.A.), FIS2010-18639 (R.G.), PRODIEVO, and FIS2011-27569 (J.A.C.), Comunidad de Madrid Grant MODELICO-CM (J.A.C.) and by Generalitat de Catalunya 2009-SGR-838 (A.A.).Publicad
Comunication plan for Mr. Wonderful
Treball Final de Grau en Publicitat i Relacions Públiques. Codi: PU0932. Curs: 2014/2015Mr. Wonderful es una marca de regalos y complementos de diseño alegre y
motivador cuyos valores hacen que este muy bien posicionada en los públicos
femeninos y jóvenes. Sin embargo, vemos que hay otros públicos que apenas
conocen la marca.
Con este plan de comunicación buscamos darse a conocer a otro público y
aportar un valor diferencial a la marca que consiga distinguirla de la
competencia y meterse en la short list mental de los consumidores.
Para ello, vamos a desarrollar diversas estrategias centradas en el público
interno, para que estos transmitan la identidad corporativa de la marca a los
consumidores. Por otra parte, otras más dirigidas al público joven, que ya
conoce la marca, con la finalidad de fidelizarlos. Y otras en un público que
desconoce la marca y al que queremos acercársela gracias a la notoriedad que
la marca puede conseguir.Mr. Wonderful is a brand of presents and accessories that have cheerful and
positive designs, their values are rated positively in young and feminine people.
However, we see other public who don’t know anything about this brand.
With this communication plan, we want to release to other public and find
different values to Mr. Wonderful that get a competition differentiate. And, so
Mr. Wonderful get in the mental short list of consumers.
To achieve it, we have developed many strategies to different publics. To
internal public, we have carried out strategies in order to internalize the
corporative identity of Mr. Wonderful and, then, they will transmit it to the
consumers. On the other hand, to the young public, who know a lot about the
brand, we have developed strategies to achieve their loyalty. And, other
strategies to the public who doesn’t know about this brand, in order to bring
closer the brand to this public, thanks to give notoriety to Mr. Wonderful
The Network of Scientific Collaborations within the European Framework Programme
We use the emergent field of Complex Networks to analyze the network of
scientific collaborations between entities (universities, research
organizations, industry related companies,...) which collaborate in the context
of the so-called Framework Programme. We demonstrate here that it is a
scale--free network with an accelerated growth, which implies that the creation
of new collaborations is encouraged. Moreover, these collaborations possess
hierarchical modularity. Likewise, we find that the information flow depends on
the size of the participants but not on geographical constraints.Comment: 13 pages, 6 figure
Urban traffic from the perspective of dual graph
In this paper, urban traffic is modeled using dual graph representation of
urban transportation network where roads are mapped to nodes and intersections
are mapped to links. The proposed model considers both the navigation of
vehicles on the network and the motion of vehicles along roads. The road's
capacity and the vehicle-turning ability at intersections are naturally
incorporated in the model. The overall capacity of the system can be quantified
by a phase transition from free flow to congestion. Simulation results show
that the system's capacity depends greatly on the topology of transportation
networks. In general, a well-planned grid can hold more vehicles and its
overall capacity is much larger than that of a growing scale-free network.Comment: 7 pages, 10 figure
Chaperones as integrators of cellular networks: Changes of cellular integrity in stress and diseases
Cellular networks undergo rearrangements during stress and diseases. In
un-stressed state the yeast protein-protein interaction network (interactome)
is highly compact, and the centrally organized modules have a large overlap.
During stress several original modules became more separated, and a number of
novel modules also appear. A few basic functions, such as the proteasome
preserve their central position. However, several functions with high energy
demand, such the cell-cycle regulation loose their original centrality during
stress. A number of key stress-dependent protein complexes, such as the
disaggregation-specific chaperone, Hsp104, gain centrality in the stressed
yeast interactome. Molecular chaperones, heat shock, or stress proteins form
complex interaction networks (the chaperome) with each other and their
partners. Here we show that the human chaperome recovers the segregation of
protein synthesis-coupled and stress-related chaperones observed in yeast
recently. Examination of yeast and human interactomes shows that (1) chaperones
are inter-modular integrators of protein-protein interaction networks, which
(2) often bridge hubs and (3) are favorite candidates for extensive
phosphorylation. Moreover, chaperones (4) become more central in the
organization of the isolated modules of the stressed yeast protein-protein
interaction network, which highlights their importance in the de-coupling and
re-coupling of network modules during and after stress. Chaperone-mediated
evolvability of cellular networks may play a key role in cellular adaptation
during stress and various polygenic and chronic diseases, such as cancer,
diabetes or neurodegeneration.Comment: 13 pages, 3 figures, 1 glossar
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