[Tccc] CFP - NoT: Networks over Time - Workshop at PAKDD 2013 - Deadline 15th Jan 2013
Parantapa Bhattacharya
parantapaatcse.iitkgp.ernet.in
Mon Jan 7 00:32:32 EST 2013
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CFP - NoT 2013 - Submissions deadline: 15th Jan 2013
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Call for Papers: NoT: Networks over Time
Workshop at PAKDD 2013
Important Dates
*****Workshop paper submission deadline: Jan 15, 2013
*****Workshop paper acceptance notification: Jan 31, 2013
*****Workshop paper camera-ready deadline: Feb 15, 2013
Topic
While much of network sciences research has focused on studying static
networks, almost all real networks are dynamic in nature. Those networks
exhibit structural changes over time. The importance of studying and
modelling such networks is evident from its increasing presence : telecom
call data graphs, communication networks, social (friends') networks,
biological networks, language, etc. Recently, research areas for studying
the topology, evolution and applications of complex evolving networks have
gained more attention. In general, network modeling has long drawn on the
tradition of social network analysis and graph theory. In the last decade,
there is a growth in class of dynamic network models, from Erdos-Renyi
model to Logit models, p*-models, and Markov random graphs. These network
models, exemplified by the preferential attachment model, are widely
popular in statistical physics and computer science research communities.
Most of the these works deal with identifying properties in a single
snapshot of a large network, or in a very small number of snapshots. The
network properties include heavy tails for in-degree and out-degree
distributions, communities, small-world phenomena, etc. However, in cases
of availability of information about network evolution over long periods
and/or at smaller granularity of time periods, for example telecom call
data graphs, these methods are not very effective. Leskovec et al. in
their KDD 2005 paper, point out that though models like preferential
attachment are good at generating networks that match static "snapshots"
of real-world networks, they do not appropriately model how real-world
networks change over time. Since these models have network's topology at
the core, they are well-suited for capturing the essential features of
static networks (or time aggregated snapshots of dynamic networks) only.
However, in many cases the interactions among the nodes are not only
dynamic but also defined on a very short time scale. This has led to the
development of activity driven network models. Even with these
advancements, dynamic network analysis research area lacks a wholistic
view of methods and models proposed in different domains, w.r.t properties
and processes/activities, analyzed and modeled respectively. It is also
critical to review each of the techniques for various problems and
application domains, which can help in coming up with unified frameworks
that can potentially address the shortcomings.
In this workshop titled Networks over Time, we solicit original papers
(including work in progress) on each of the topics on or before Jan 15th
2013 to narrow the research gap in dynamic network analysis.
Topics of interest include(but are not limited to):
(1) Analyzing the commonality and differences between techniques in
various domains.
(2) Comparing the techniques w.r.t the network properties analyzed.
(3) Application domains from biology to social sciences.
(4) Problem domains from anomaly detection, link prediction, dynamic graph
clustering to community detection.
(5) Large-scale dynamic network modeling - since most of these dynamic
networks are large in nature, it also requires mechanisms to handle
large networks and perform computations in a distributed fashion.
(6) (Large-scale) Simulation systems that enable high-fidelity simulations.
This one day workshop will include a number of paper and position
presentations and two/three talks from invited speakers.
Invited Speakers
Sanjay Chawla, The University of Sydney
Submission Instructions
Each submitted paper should include an abstract up to 200 words. The
submissions must not be longer than 12 single-spaced pages with 10pt font
size. Authors are strongly encouraged to use Springer LNCS/LNAI manuscript
submission guidelines
(http://www.springer.com/computer/lncs/lncs+authors?SGWID=0-40209-0-0-0)
for their initial submissions. All papers must be submitted electronically
through EasyChair Conference Management Service
(https://www.easychair.org/account/signin.cgi?conf=pakddnot2013) in PDF
format only. Submitting a paper to the workshop means that if the paper
were accepted, at least one author will attend the workshop to present the
paper.
Organisers
Rickard Cster , Ericsson Research Sweden
Niloy Ganguly, IIT Kharagpur
Balaraman Ravindran, IIT Madras
Subramanian Shivashankar, Ericsson Research India
Samarth Swarup, Virginia Bioinformatics Institute, Virginia Tech
Advisory Committee
Noshir Contractor, Northwestern University
Madhav Marathe, Virginia Bioinformatics Institute, Virginia Tech
Martin Svensson, Ericsson Research Sweden
Anand Varadarajan, Ericsson Research India
Program Committee (confirmed)
Andrea Baronchelli, Northeastern Univ
Indrajit Bhattacharya, IBM Research
Jean-Charles Delvenne, Universit catholique de Louvain
Peter Holmes, Ume University, Sweden
V. S. Anil Kumar, Virginia Tech
Arun S. Maiya, Institute for Defense Analyses
Bivas Mitra, Samsung Research India
Sriraam Natarajan, Wake Forest University Baptist Medical Center
Sandhya Prabhakaran, University of Basel
S. S. Ravi, University at Albany, SUNY
Fernando Peruani, Universit de Nice - Sophia Antipolis
Ashish Tendulkar, TIFR
Jierui(Jerry) Xie, Oracle
_______________________________________________
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