37 research outputs found
Hierarchical Cont-Bouchaud model
We extend the well-known Cont-Bouchaud model to include a hierarchical
topology of agent's interactions. The influence of hierarchy on system dynamics
is investigated by two models. The first one is based on a multi-level, nested
Erdos-Renyi random graph and individual decisions by agents according to Potts
dynamics. This approach does not lead to a broad return distribution outside a
parameter regime close to the original Cont-Bouchaud model. In the second model
we introduce a limited hierarchical Erdos-Renyi graph, where merging of
clusters at a level h+1 involves only clusters that have merged at the previous
level h and we use the original Cont-Bouchaud agent dynamics on resulting
clusters. The second model leads to a heavy-tail distribution of cluster sizes
and relative price changes in a wide range of connection densities, not only
close to the percolation threshold.Comment: 10 pages, 6 figure
Voter model dynamics in complex networks: Role of dimensionality, disorder and degree distribution
We analyze the ordering dynamics of the voter model in different classes of
complex networks. We observe that whether the voter dynamics orders the system
depends on the effective dimensionality of the interaction networks. We also
find that when there is no ordering in the system, the average survival time of
metastable states in finite networks decreases with network disorder and degree
heterogeneity. The existence of hubs in the network modifies the linear system
size scaling law of the survival time. The size of an ordered domain is
sensitive to the network disorder and the average connectivity, decreasing with
both; however it seems not to depend on network size and degree heterogeneity.Comment: (8 pages, 12 figures, for simililar work visit
http://www.imedea.uib.es/physdept/
Need to categorize: A comparative look at the categories of the Universal Decimal Classification system (UDC) and Wikipedia
This study analyzes the differences between the category structure of the
Universal Decimal Classification (UDC) system (which is one of the widely used
library classification systems in Europe) and Wikipedia. In particular, we
compare the emerging structure of category-links to the structure of classes in
the UDC. With this comparison we would like to scrutinize the question of how
do knowledge maps of the same domain differ when they are created socially
(i.e. Wikipedia) as opposed to when they are created formally (UDC) using
classificatio theory. As a case study, we focus on the category of "Arts".Comment: Paper for High Throughput Humanities - a satellite meeting at the
European Conference on Complex Systems 2010; Sept. 15, 2010 Lisbon University
Institute ISCTE, Lisbon, Portuga
Ising model on two connected Barabasi-Albert networks
We investigate analytically the behavior of Ising model on two connected
Barabasi-Albert networks. Depending on relative ordering of both networks there
are two possible phases corresponding to parallel or antiparallel alingment of
spins in both networks. A difference between critical temperatures of both
phases disappears in the limit of vanishing inter-network coupling for
identical networks. The analytic predictions are confirmed by numerical
simulations.Comment: 6 pages including 6 figure