1,720,990 research outputs found
Community structure from spectral properties in complex networks
We analyze the spectral properties of complex networks focusing on their relation to the community structure, and develop an algorithm based on correlations among components of different eigenvectors. The algorithm applies to general weighted networks, and, in a suitably modified version, to the case of directed networks. Our method allows to correctly detect communities in sharply partitioned graphs, however it is useful to the analysis of more complex networks, without a well defined cluster structure, as social and information networks. As an example, we test the algorithm on a large scale data-set from a psychological experiment of free word association, where it proves to be successful both in clustering words, and in uncovering mental association patterns. © 2005 American Institute of Physics
Detecting communities in large networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and link orientation. Since the method detects efficiently clustered nodes in large networks even when these are not sharply partitioned, it turns to be specially suitable for the analysis of social and information networks. We test the algorithm on a large-scale data-set from a psychological experiment of word association. In this case, it proves to be successful both in clustering words, and in uncovering mental association patterns. © 2005 Elsevier B.V. All rights reserved
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since the method detects efficiently clustered nodes in large networks even when these are not sharply partitioned, it turns to be specially suitable to the analysis of social and information networks. We test the algorithm on a large-scale data-set from a psychological experiment of word association. In this case, it proves to be successful both in clustering words, and in uncovering mental association patterns. © Springer-Verlag 2004
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Gilbert's syndrome accounts for the phenotypic variability of congenital dyserythropoietic anemia type II (CDA-II)
Microcytic anemia and hepatic iron overload in a child with compound heterozygous mutations in DMT1 (SLC11A2)
Divalent metal transporter 1 (DMT1) mediates
apical iron uptake in duodenal enterocytes
and iron transfer from the transferrin
receptor endosomal cycle into the
cytosol in erythroid cells. Both mk mice
and Belgrade rats, which carry an identical
DMT1 mutation, exhibit severe microcytic
anemia at birth and defective intestinal
iron use and erythroid iron use. We
report the hematologic phenotype of a
child, compound heterozygote for 2 DMT1
mutations, who was affected by severe
anemia since birth and showed hepatic
iron overload. The novel mutations were
a 3-bp deletion in intron 4 (c.310-3_5del
CTT) resulting in a splicing abnormality
andaC>T transition at nucleotide 1246(p.
R416C). A striking reduction of DMT1
protein in peripheral blood mononuclear
cells was demonstrated by Western blot
analysis. The proband required blood
transfusions until erythropoietin treatment
allowed transfusion independence
when hemoglobin levels between 75 and
95 g/L (7.5 and 9.5 g/dL) were achieved.
Hematologic data of this patient at birth
and in the first years of life strengthen the
essential role of DMT1 in erythropoiesis.
The early onset of iron overload indicates
that, as in animal models, DMT1 is dispensable
for liver iron uptake, whereas its
deficiency in the gut is likely bypassed by
the up-regulation of other pathways of
iron use. (Blood. 2006;107:349-354)
© 2006 by The American Society of Hematolog
Two regions of deletion 9p22-p24 in neuroblastoma are frequently observed in favorable tumors
Gilbert’s syndrome accounts for the phenotypic variability of congenital dyserythropoietic anemia type II (CDA-II)
- …
