22,452 research outputs found
The network organisation of consumer complaints
Interaction between consumers and companies can create conflict. When a
consensus is unreachable there are legal authorities to resolve the case. This
letter is a study of data from the Brazilian Department of Justice from which
we build a bipartite network of categories of complaints linked to the
companies receiving those complaints. We find the complaint categories
organised in an hierarchical way where companies only get complaints of lower
degree if they already got complaints of higher degree. The fraction of
resolved complaints for a company appears to be nearly independent on the
equity of the company but is positively correlated with the total number of
complaints received. We construct feature vectors based on the edge-weight -
the weight of an edge represents the times complaints of a category have been
filed against that company - and use these vectors to study the similarity
between the categories of complaints. From this analysis, we obtain trees
mapping the hierarchical organisation of the complaints. We also apply
principal component analysis to the set of feature vectors concluding that a
reduction of the dimensionality of these from 8827 to 27 gives an optimal
hierarchical representation.Comment: 9 pages, 6 figures, 1 tabl
Flow Motifs Reveal Limitations of the Static Framework to Represent Human interactions
Networks are commonly used to define underlying interaction structures where
infections, information, or other quantities may spread. Although the standard
approach has been to aggregate all links into a static structure, some studies
suggest that the time order in which the links are established may alter the
dynamics of spreading. In this paper, we study the impact of the time ordering
in the limits of flow on various empirical temporal networks. By using a random
walk dynamics, we estimate the flow on links and convert the original
undirected network (temporal and static) into a directed flow network. We then
introduce the concept of flow motifs and quantify the divergence in the
representativity of motifs when using the temporal and static frameworks. We
find that the regularity of contacts and persistence of vertices (common in
email communication and face-to-face interactions) result on little differences
in the limits of flow for both frameworks. On the other hand, in the case of
communication within a dating site (and of a sexual network), the flow between
vertices changes significantly in the temporal framework such that the static
approximation poorly represents the structure of contacts. We have also
observed that cliques with 3 and 4 vertices con- taining only low-flow links
are more represented than the same cliques with all high-flow links. The
representativity of these low-flow cliques is higher in the temporal framework.
Our results suggest that the flow between vertices connected in cliques depend
on the topological context in which they are placed and in the time sequence in
which the links are established. The structure of the clique alone does not
completely characterize the potential of flow between the vertices
Physics reach of CERN-based SuperBeam neutrino oscillation experiments
We compare the physics potential of two representative options for a
SuperBeam in Europe, studying the achievable precision at 1\sigma with which
the CP violation phase (\delta) could be measured, as well as the mass
hierarchy and CP violation discovery potentials. The first setup corresponds to
a high energy beam aiming from CERN to a 100 kt liquid argon detector placed at
the Pyh\"asalmi mine (2300 km), one of the LAGUNA candidate sites. The second
setup corresponds to a much lower energy beam, aiming from CERN to a 500 kt
water \v{C}erenkov detector placed at the Gran Sasso underground laboratory
(730 km). This second option is also studied for a baseline of 650 km,
corresponding to the LAGUNA candidate sites of Umbria and the Canfranc
underground laboratory. All results are presented also for scenarios with
statistics lowered by factors of 2, 4, 8 and 16 to study the possible
reductions of flux, detector mass or running time allowed by the large value of
\theta_{13} recently measured.Comment: 15 pages, 4 figure
Stability of smectic phases in hard-rod mixtures
Using density-functional theory, we have analyzed the phase behavior of
binary mixtures of hard rods of different lengths and diameters. Previous
studies have shown a strong tendency of smectic phases of these mixtures to
segregate and, in some circumstances, to form microsegregated phases. Our focus
in the present work is on the formation of columnar phases which some studies,
under some approximations, have shown to become thermodynamically stable prior
to crystallization. Specifically we focus on the relative stability between
smectic and columnar phases, a question not fully addressed in previous work.
Our analysis is based on two complementary perspectives: on the one hand, an
extended Onsager theory, which includes the full orientational degrees of
freedom but with spatial and orientational correlations being treated in an
approximate manner; on the other hand, we formulate a Zwanzig approximation of
fundamental-measure theory on hard parallelepipeds, whereby orientations are
restricted to be only along three mutually orthogonal axes, but correlations
are faithfully represented. In the latter case novel, complete phase diagrams
containing regions of stability of liquid-crystalline phases are calculated.
Our findings indicate that the restricted-orientation approximation enhances
the stability of columnar phases so as to preempt smectic order completely
while, in the framework of the extended Onsager model, with full orientational
degrees of freedom taken into account, columnar phases may preempt a large
region of smectic stability in some mixtures, but some smectic order still
persists.Comment: 14 pages, 16 figures. To appear in JC
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