Prof.
Vincent Blondel
(University of Louvain)
07/04/2011, 10:20
Many complex networks have their nodes distributed in space.
In this talk, I will describe various recent results for
spatially distributed networks. In particular, I will report
results obtained from a community detection method on a
large network constructed from communications between
millions of mobile phone users at a country level. I will
quantify in this network the decrease with...
Dr
Jari Saramäki
(Aalto University)
07/04/2011, 11:00
In temporal networks, where nodes are connected through
sequences of temporary events, information or resources can
only flow through paths that follow their time-ordering. The
properties of these temporal paths play a crucial role in
dynamic processes: consider, e.g., simple SI spreading
dynamics, whose speed is determined by the time it takes to
complete such paths. I will discuss...
Dr
Renaud Lambiotte
(FUNDP)
07/04/2011, 11:40
Social science aims at understanding how large-scale
behaviour emerges from the intrinsic properties of a large
number of individuals and their pairwise interactions.
Contrary to network connectivity, whose organization has
been explored in email or mobile phone data, the
psychological profile of large-scale populations has not
been studied so far. In this work, we have analyzed...
Prof.
Erik Sonnhammer
(Stockholm University)
07/04/2011, 13:40
Interactomes computationally predicted via data integration
are becoming an increasingly popular tool and context for
biological research. However merging disparate data sources
and presenting relevant parts of a global network is not
trivial. FunCoup, an optimised Bayesian framework and a web
resource, was developed to resolve these issues. FunCoup
provides a number of uniqe features....
Dr
Sebastian Bernhardsson
(Niels Bohr Institute)
07/04/2011, 14:10
The metabolism of an organism makes up a very well defined
network of reactions catalyzed by enzymes. These highly
complex networks has presumably evolved from a simple
primordial metabolism, from where they have diversified and
specialized under the constraints of an underlying biochemistry.
But how diverse are these networks? How much do they have in
common, what can an ensemble of...
Dr
Yong-Yeol Ahn
(Northeastern University)
07/04/2011, 14:50
Animals, especially omnivores, feed selectively to fulfill
energy needs and nutrient requirements, guided by chemical
cues perceived as flavors. Among animals, humans exhibit the
most diverse array of culinary practice. The diversity
raises the question whether there are any general patterns
of ingredient combination that transcend individual tastes
and cuisines. We introduce a flavor...
Dr
Kwang-Il Goh
(Korea University)
07/04/2011, 15:20
Persistent recurrence of global economic crises throughout
economic history calls for understanding of their generic
features. Given the ever highly interconnected nature of the
global economic system, a network dynamics approach may
provide some key insights toward this goal. In this talk, we
discuss how the connectivity patterns of the global economic
system would affect the spreading...
278.
Joint Coordinative Structures: Nested Processes of Intrapersonal and Interpersonal Coordination
Dr
Verónica Ramenzoni
(Max-Planck-Institute for the Psycholinguistics)
07/04/2011, 16:10
In recent years, research in the field of social
interactions has focused on the exploration of the
coordinative structures that substantiate joint task
performance. Coordinative structures or synergies refer to
online the soft-assembly of neuromuscular elements that
function as a collective unit. Synergies exploit neuromotor
redundancies to provide multiple, equivalent motor...
Dr
Helena Buhr
(Northwestern University)
07/04/2011, 16:50
We use a dataset of email communication to document the
formation of social relationships between students in a
prestigious MBA program. First, we analyze how new
relationships form day by day during students' time in the
program. Our dataset starts before students' arrival on
campus and it offers an unique opportunity to understand the
inception of a social network. Second, we examine...
Prof.
Fredrik Liljeros
(Stockholm University)
07/04/2011, 17:30
Sexually transmitted infections continue to be a severe
health problem. In this talk I will present and discuss a
variety of explanations that have been advanced on why this
type of disease is so hard to eradicate, despite the fact
that the contact by which it is spread is far less frequent
than is the case with most other infectious diseases. We
conclude that several processes and...
Prof.
Aaron Clauset
(University of Colorado)
08/04/2011, 09:00
Modular structures in complex networks can be extremely
important for understanding the functional, dynamical,
evolutionary and robustness properties of networks, and are
widely believed to be ubiquitous in complex social,
biological and technological networks. Most of the empirical
evidence in support of the modular hypothesis, however, is
indirect and derived from "community" or module...
Dr
Martin Rosvall
(Umeå University)
08/04/2011, 09:40
Ever since Aristotle, organization and classification have
been cornerstones of science. In network science,
categorization of nodes into modules with
community-detection algorithms has proven indispensable to
comprehending the structure of large integrated systems. But
in real-world networks, the organization rarely is limited
to two levels, and modular descriptions can only...
Dr
Sune Lehmann
(Technical University of Denmark)
08/04/2011, 10:40
We know that communities in networks often overlap such that
nodes simultaneously belong to several groups. Additionally,
many networks are known to possess hierarchical
organization, where communities are recursively grouped into
a hierarchical structure. However, when each and every node
belongs to more than one group, a single global hierarchy of
nodes cannot capture the relationships...
Dr
Jevin West
(University of Washington)
08/04/2011, 11:20
As Derek de Solla Price famously noted in 1965, the
scientific literature forms a vast network. The nodes of
this network are the millions of published articles, and
they are linked to one another by citations and footnotes.
This network grows dynamically and organically, doubling in
size every ten to twenty years. It is within this growing
network ecosystem that scholars conduct their...
Prof.
Jordi Bascompte
(Estación Biológica de Doñana, CSIC)
08/04/2011, 13:30
The mutualistic interactions between plants and the animals
that pollinate them or disperse their seeds can form complex
networks involving hundreds of species. These coevolutionary
networks are highly heterogeneous, nested, and built upon
weak and asymmetric links among species. Such general
architectural patterns increase network robustness to random
extinctions and maximize the number...
Dr
Örjan Bodin
(Stockholm University)
08/04/2011, 14:10
Abstract: When conceptualizing integrated social-ecological
systems (SES), the modeling approaches commonly applied are
often (a) based in ecology with social aspects added
afterwards, or (b) based in social science with aspects of
the natural environment added afterwards. So far there are
few integrated conceptual modeling approaches that, from
start, fully embrace the complex linkages...
Dr
Sebastian Funk
(Institute of Zoology)
08/04/2011, 14:40
Community structure is a ubiquitous feature of complex
networks, and methods for its detection has gained much
attention in recent years. Beyond the study social networks
with well defined links, these methods can be generalised to
operate on any dataset in which different entities are
similar in one or more traits, and be used to identify
meaningful groupings. Here, we describe the...
Dr
Juyong Park
(Kyung Hee University)
08/04/2011, 15:10
Exponential random graph theory is the complex network
analog of the canonical ensemble theory from statistical
physics. While it has been particularly successful in
modeling networks with specified degree distributions, a
naïve model of a clustered network using a graph Hamiltonian
linear in the number of triangles has been shown to undergo
an abrupt transition into an unrealistic phase...
Prof.
Lada Adamic
(University of Michigan)
08/04/2011, 16:10
Network time series can be used to track and predict the
co-evolution of structure across different networks, and
between a network's structure and its communicated content.
We formulate a measure, temporal conductance, that captures
how unexpected a particular network is given its past
evolution. We find that structure in one network can not
only correlate with the concurrent structure...
Prof.
Kimmo Kaski
(Aalto University)
08/04/2011, 16:50
Here we model the dynamics of opinion formation in human
societies by a co-evolution process involving two distinct
time scales of fast transaction and slower network evolution
dynamics. In the transaction dynamics we take into account
short-range interactions as discussions between individuals
and long-range interactions to describe the attitude to the
overall mood of society. The...
Prof.
Albert-László Barabási
(Northeastern University)
08/04/2011, 17:30
The ultimate proof of our understanding of natural or
technological systems is reflected in our ability to control
them. While control theory offers mathematical tools to
steer engineered and natural systems towards a desired
state, we lack a framework to control complex self-organized
systems. Here we develop analytical tools to study the
controllability of an arbitrary complex directed...
Dr
Thilo Gross
(Max-Planck-Institute for the Physics of complex systems)
09/04/2011, 09:00
We study the self-assembly of a complex network of
collaborations among self-interested agents. The agents can
maintain different levels of cooperation with different
partners. Further, they continuously, selectively, and
independently adapt the amount of resources allocated to
each of their collaborations in order to maximize the
obtained payoff. We show analytically that the...
Prof.
Sergey Dorogovtsev
(University of Aveiro)
09/04/2011, 09:40
Until recently, the percolation phase transitions were
believed to be continuous, however, in 2009, a remarkably
different, discontinuous phase transition was reported in a
new so-called "explosive percolation" problem. Each new link
in this problem is established by a specific optimization
process. We develop the exact theory of this phenomenon and
explain its nature. Applying strict...
Roberta Sinatra
(University of Catania)
09/04/2011, 10:40
There are many examples in biology, in linguistics and in
the theory of dynamical systems, where information resides
and has to be extracted from corpora of raw data consisting
in sequences of symbols. For instance, a written text in
English or in another language is a collection of sentences,
each sentence being a sequence of the letters from a given
alphabet. Not all sequences of...
Prof.
Beom Jun Kim
(Sungkyunkwan University)
09/04/2011, 11:40
We explore the synchronization behavior in the
interdependent system, where the 1D network is
ferromagnetically intercoupled to the Watts-Strogatz (WS)
small-world network. In the absence of the internetwork
coupling, the former network is well known not to exhibit
the synchronized phase at any finite coupling strength,
whereas the latter displays the mean-field transition.
Through an...
Dr
Edith Ngai
(Uppsala University)
09/04/2011, 13:40
With the popularity and advancements of smart phones, mobile
users can interact with the sensing facilities and exchange
information with other wireless devices in the environment
by short range communications. Opportunistic exchange has
recently been suggested in similar contexts; yet we show
strong evidence that, in our application, opportunistic
exchange would lead to insufficient...
Dr
Bo Söderberg
(Lund University)
09/04/2011, 14:10
Certain classes of random graphs can be derived as the
Feynman graphs for simple quantum theories, with a
statistical weight for each graph being given by the value
of the corresponding Feynman graph. Such models of random
graphs are closely related to a previously considered
random graph model, known as CDRG, or Colored Degree-driven
Random Graphs, where vertices are randomly equipped...
Prof.
Vito Latora
(University of Catania)
09/04/2011, 14:50
Random walks are the simplest way to explore a graph. In
this talk we will discuss some of the properties of random
walks (such as equilibrium distributions, entropy rates, and
mean first-passage times) which might have relevant
applications to study traffic fluctuations in the Internet,
to design optimal diffusion processes on correlated or
uncorrelated networks, or to achieve the...
Dr
Birgitte Freiesleben de Blasio
(University of Oslo)
Preferential attachment is a popular generative mechanism to
explain the widespread observation of power law-distributed
networks. An alternative explanation for the phenomenon is a
randomly grown network with large individual variation in
growth rates among the nodes (frailty). We derive
analytically the distribution of individual rates, which
will reproduce the connectivity...
