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Showing posts with label graph mining. Show all posts
Showing posts with label graph mining. Show all posts

Wednesday, 8 May 2013

Symposium on multiple network modeling, analysis and mining - call for participation

Posted on 00:40 by Unknown
Call for participation:

Symposium on Multiple Network Modeling, Analysis and Mining
DTU - Technical University of Denmark
Monday, June 3rd, 2013

Multiple networks have been studied in several disciplines including
computer science, physics, social network analysis, statistics and
sociology, under various names like multilayer, multiplex,
multidimensional, multimodal networks and labeled graphs.

The Symposium on Multiple Network Modeling, Analysis and Mining, that will
be held as a satellite event of the NetSci conference (the primary
conference on Network Science), will provide a detailed view over some
recent results and open problems in this field, presented by leading
experts, and will consitute a starting point for the emergence of an
interdisciplinary community focused on the study of multiple networks.

Participation is free, including lunch and coffee-breaks (limited places
available: please register ASAP).

All the details including the preliminary program are available at:
http://multiplenetworks.netsci2013.net

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Posted in 2013, call for participation, conference, graph mining, social network analysis, social networks modeling, stcsn | No comments

Sunday, 28 April 2013

ACM Conference on Online Social Networks (COSN'13)

Posted on 02:50 by Unknown


Call for Papers


ACM Conference on Online Social Networks (COSN'13)
October 7-8, 2013
Boston, USA
http://cosn.acm.org


Topics of interest include:

Novel social applications and systems
Systems and algorithms for social search
Infrastructure support for social networks and systems
Social properties in systems design
Clean-slate designs for social systems
Measurement and analysis of social and crowdsourcing systems
Graph analysis and visualization
Processing and query optimization for large graphs
Management of social network data
Modeling Social Networks and behavior
Streaming algorithms for social data
Benchmarking, modeling, performance and workload characterization
Information extraction and diffusion
Data mining and machine learning in social networks
Privacy in data collection and management
Privacy and Security in social systems
Privacy-preserving mechanisms for social and mobile data analysis
Information disclosure and its impact on social networks
Tracking social footprint / identities across social networks
Trust systems and trustworthiness of social content/media
Trust and reputations in social systems
Detection, analysis, prevention of spam, phishing, and misbehavior in
social systems
Social and psychological understanding of these topics

Program Committee

Rakesh Agrawal, Microsoft Research, USA
Jussara Almeida, Federal University of Minais-Gerais, Brazil
Lerone Banks, Federal Trade Commission, USA
Steven Bellovin, Columbia University/FTC, USA
Smriti Bhagat, Technicolor Palo Alto, USA
Augustin Chaintreau, Columbia University, USA
Meeyoung Cha, KAIST, Korea
Graham Cormode, University of Warwick, UK
Jon Crowcroft, University of Cambridge, UK
Nilesh Dalvi, Facebook, USA
Amr El Abbadi, University of California Santa Barbara, USA (PC co-chair)
Peter Gloor, MIT, USA
Matthias Grossglauser, EPFL, Lausanne, Switzerland
Krishna Gummadi, Max-Planck Institute, Saarbrucken, Germany
Anne-Marie Kermarrec, INRIA, France
Balachander Krishnamurthy, AT&T Labs--Research, USA (PC co-chair)
Silvio Lattanzi, Google New York, USA
Cecilia Mascolo, University of Cambridge, UK
Muthu Muthukrishnan, Microsoft & Rutgers University, USA
Daniele Quercia, Yahoo! Research, Barcelona, Spain
Jie Tang, Tsinghua University, China
Ben Zhao, University of California Santa Barbara, USA

Important dates:

Abstract submission due: Friday June 21 23:59 GMT
Paper submission due: Friday June 28 23:59 GMT
Acceptance notification: July 31
Camera-ready copy due: Mon September 2
Conference: Mon-Tue October 7-8, Boston

COSN 2013 allows two forms of submissions (PDF only):

Full papers (up to 12 pages including references) describing original
research in detail
Short papers (up to 6 pages including references) conveying promising
work/high-level vision

All submissions must satisfy the following requirements:

10-point font, two-column format, letter page size (11 x 8.5 inches)
Names / affiliations of all authors on title page
Submission site: http://cosn13.cs.ucsb.edu/
Use style file at http://cosn13.cs.ucsb.edu/sig-alternate-10pt.cls

Non-compliant submissions will be rejected without review.

ORGANIZATION:

General Chair: Muthu Muthukrishnan, Microsoft & Rutgers University
Publicity chair: Ponnurangam Kumaraguru, IIIT Delhi
Student travel grant chair: Ben Zhao, UC Santa Barbara
Local Arrangements Chair: Alan Mislove, Northeastern University
Registration chair: Christo Wilson, Northeastern University

COSN Steering Committee

Virgilio Almeida, Federal Univ of Minais Gerais, Brazil
Xiaoming Fu, Univ of Goettingen, Germany
Jon Crowcroft, Univ of Cambridge, United Kingdom
Balachander Krishnamurthy, AT&T Labs-Research, USA (Chair)
Ben Zhao, Univ of California Santa Barbara, USA

COSN Technical Advisory Committee

Sihem Amer-Yahia, CNRS, France
Krishna Gummadi, MPI, Germany
Anne-Marie Kermarrec, INRIA, France
Jon Kleinberg, Cornell University, USA
Ponnurangam Kumaraguru, IIIT Delhi, India

COSN is the result of merger of 6 workshops held over the last few years
in various venues:

WOSN (SIGCOMM/Usenix)
SNS (Eurosys)
DBSocial (SIGMOD)
HotSocial (KDD)
PSOSM (WWW)
WOSS (VLDB)
Read More
Posted in 2013, ACM, call for papers, community information systems, conference, graph mining, mobile social networks, privacy, social network analysis, social networks, stcsn, stream mining, trust | No comments

Thursday, 11 April 2013

4 full-time positions for Doctoral or Postdoctoral Researchers in Algorithmics and Network Science University of Konstanz, Germany

Posted on 03:35 by Unknown
From http://www.uni-konstanz.de/stellenangebote/?cont=stellausw&seite=2013/067&id=1

The Algorithmics Group (Prof. Dr. Ulrik Brandes) in the Department of Computer and Information Science and the ERC Synergy Grant Project "NEXUS 1492" coordinated in the Faculty of Archaeology at the University of Leiden (Prof. dr. Corinne Hofman) invite applications for

 ----------------------------------------------------------------
 4 full-time positions for Doctoral or Postdoctoral Researchers
 in Algorithmics and Network Science (salary scale 13 TV-L)
 ----------------------------------------------------------------

from September 1, 2013, for up to four years. In principle, each position can be divided into two half-time positions.

"NEXUS 1492. New World Encounters in a Globalizing World" is a large-scale interdisciplinary project focusing on the impact of colonial encounters in the Caribbean. See www.nexus1492.eu for more information.

Requirements:
-------------

Applicants must hold a university degree (at least 4-years), preferably in computer science, statistics, or mathematics. A background in network modeling, graph algorithms, machine learning, or similar is desirable but others will be considered as well. A strong background in relevant methods is valued more than previous experience in network science.

Successful applicants will be based in Konstanz and conduct top-level international research on network reconstruction from sparse and heterogeneous data using probabilistic network models, combinatorial network analysis, and geo-referenced network visualization. They will work in an international and interdisciplinary team and will be given the opportunity to work toward a PhD.

The University of Konstanz encourages disabled persons to apply. They will be given preference if appropriately qualified (contact +49(0)7531/88–4895).

The University of Konstanz is an equal opportunity employer and tries to increase the number of women in research and teaching.

The University of Konstanz has been certified as a family-friendly institution by the Hertie Foundation and is committed to further the compatibility of work and family life.

The University of Konstanz offers a "Dual Career Couples Program". Information can be obtained from: www.uni-konstanz.de/dcc .

Please apply by sending your curriculum vitae, degree certificates, transcript of records, and a letter of motivation in a single pdf document to ulrik.brandes@uni-konstanz.de, citing reference number 2013/067. Applications received by May 2, 2013, will receive full consideration but the call remains open until all positions are filled.

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Posted in doctoral research, graph mining, job opening, machine learning, postdoc, social network analysis | No comments

Monday, 17 December 2012

Fully funded PhD student positions at the University of Zurich, Switzerland

Posted on 03:27 by Unknown
The Dynamic and Distributed Information Systems Group is looking for multiple

   Research Doctoral Students

with a keen interest in at least one the the following areas

   - Large-scale Graph Processing
   - Human Computation / HCI
   - Semantic Web / Linked Data
   - Economics of Computing
   - Social Network Analysis

to work on a number of new and existing research projects (including
ViSTA-TV [1], CrowdLang [2], Signal/Collect [3]).

We offer:

   - motivated colleagues [4] who are passionate about research
   - a work environment that is well equipped with the newest
     hardware and software technology
   - a salary according to the standard university regulations
     ( > 45'000 - 57'000 CHF / year; increases with experience)
   - support for your personal development and career planning
   - an attractive work environment both within the research group
     and beyond (Zurich is repeatedly voted the city with the highest
     standard of living in the world)
   - A highly successful PhD program [5] with graduates at top rated
     institutions world-wide

You will be collaborating in a larger research team consisting of the Dynamic
and Distributed Information Systems Group (DDIS; http://www.ifi.uzh.ch/ddis/)
headed by Prof. Abraham Bernstein [6], which is part of the Department of
Informatics [7] of the University of Zurich [8]. The group is active in
International and Swiss National research projects and we are looking for
candidates to help us continue these efforts.

You have:

   - a master's degree in informatics, computer science, information
     systems (or an equivalent university study)
   - expertise in database systems, Semantic Web / Linked Data, HCI,
     social network analysis, or econimics
     (note: only expertise in one of the fields is necessary;
      multiple areas is desirable)
   - good programming skills in several languages
   - an interest in applying computer science research to real-world
     problems
   - excellent command of English
   - German is a plus but not required

If you are interested:

Send your application (including CV, final grades, and - if possible -
thesis copy as a PDF or ZIP archive containing PDFs) via e-mail to:

 Prof. Abraham Bernstein, Ph.D.
 Department of Informatics
 University of Zurich, Switzerland
 http://www.ifi.uzh.ch/ddis/people/bernstein/
 Email: ddisjobs "at" lists "dot" ifi "dot" uzh "dot" ch

Applications are reviewed on a continuous basis, but please do not submit
later that January 15, 2013.

The University of Zurich is committed to enhancing the number of women in
scientific positions and, therefore, particularly invites women to apply. Women
who are as qualified for the position in question as male applicants will be
given priority.

This add is available in HTML with active links at: http://www.ifi.uzh.ch/ddis/jobs.html


Links:

[1] http://vista-tv.eu/
[2] http://www.ifi.uzh.ch/ddis/research/CrowdLang.html
[3] http://code.google.com/p/signal-collect/
[4] http://www.ifi.uzh.ch/ddis/people.html
[5] http://www.ifi.uzh.ch/teaching/studiengaenge/phd.html
[6] http://www.ifi.uzh.ch/ddis/people/bernstein/
[7] http://www.ifi.uzh.ch/
[8] http://www.uzh.ch/
Read More
Posted in doctoral research, graph mining, human computer interaction, job opening, linked data, semantic web, social network analysis | No comments

Wednesday, 17 October 2012

The 4th International Workshop on Graph Data Management: Techniques and Applications (GDM 2013)

Posted on 07:11 by Unknown

Call for Papers

The 4th International Workshop on Graph Data Management: Techniques and Applications (GDM 2013)

http://www.cse.unsw.edu.au/~iwgdm/2013/

In Conjunction with the IEEE International Conference on Data Engineering (ICDE 2013)
Brisbane, Australia

Recently, there has been a lot of interest in the application of graphs in
different domains. They have been widely used for data modeling of different
application domains such as chemical compounds, multimedia databases,
protein networks, social networks and semantic web. With the continued
emergence and increase of massive and complex structural graph data, a graph
database that efficiently supports elementary data management mechanisms is
crucially required to effectively understand and utilize any collection of
graphs. The overall goal of the workshop is to bring people from different
fields together, exchange research ideas and results, and encourage
discussion about how to provide efficient graph data management techniques
in different application domains and to understand the research challenges
of such area.

Topics of interest include, but are not limited to:


* Methods/Techniques for storing, indexing and querying graph data.
* Methods/Techniques for estimating the selectivity of graph queries.
* Methods/Techniques for graph mining.
* Methods/Techniques for compact (compressed) representation of graph data.
* Methods/Techniques for measuring graph similarity.
* Methods/Techniques for large scale and distributed graph processing.
* Tools/Techniques for graph data management for social network applications.
* Tools/Techniques for graph data management of chemical compounds.
* Tools/Techniques for graph data management of protein networks.
* Tools/Techniques for graph data management of multimedia databases.
* Tools/Techniques for graph data management of semantic web data (RDF).
* Tools/Techniques for graph data management for spatio-temporal applications.
* Tools/Techniques for graph data management for Business Process Management applications.
* Tools/Techniques for visualizing, browsing, or navigating graph data
* Analysis/Proposals for graph query languages.
* Advanced applications and tools for managing graph databases in different domains.
* Benchmarking and testing of graph data management techniques.



PAPER SUBMISSION
-----------------

Authors should submit papers reporting original works that are currently not
under review or published elsewhere.
All submissions must be prepared in the IEEE camera-ready format. The
workshop solicits both full papers and short papers (e.g. experience
reports, preliminary reports of work in progress, etc).
Full papers should not exceed 8 pages in length. Short papers should not
exceed 4 pages.

All papers should be submitted in PDF format using the Workshop online
submission system at: https://cmt.research.microsoft.com/GDM2013/

All accepted papers will be published in the ICDE proceedings and will also
become publicly available through the IEEE Xplore.


IMPORTANT DATES
---------------
* Paper submission deadline: November 3, 2012 (Extended)
* Author Notification: November 30, 2012
* Final Camera-ready Copy Deadline: December 7, 2012


WORKSHOP CO-CHAIRS
------------------
* Sourav Bhowmick, Nanyang Technological University, Singapore
* Sherif Sakr, NICTA and University of New South Wales, Australia
* Yuanyan Tian, IBM Almaden Research Center, USA


PROGRAM COMMITTEE
-----------------
* Leman Akoglu, Carnegie Mellon University, USA
* Renzo Angles, Universidad de Talca, Chile
* Danny Bickson, Carnegie Mellon University, USA
* Stephane Bressan, National University of Singapore, Singapore
* Muhammad Aamir Cheema, University of New South Wales, Australia
* Philippe Cudre-Mauroux, University of Fribourg, Switzerland
* Khuzaima Daudjee, University of Waterloo, Canada
* Marlon Dumas, University of Tartu, Estonia
* Sameh Elnikety, Microsoft Research, USA
* Rosalba Giugno, University of Catania, Italy
* Yuxiong He, Microsoft Research, USA
* Seung-won Hwang, POSTECH, Korea
* Hasan Jamil, University of Idaho, USA
* Chengfei Liu, Swinburne University of Technology, Australia
* Mohamed F. Mokbel, University of Minnesota, USA
* Senjuti Basu Roy, Rutgers University, USA
* Maria Esther Vidal, University of Simon Bolivar, Venezuela
* Peter Wood, University of London, UK
* Jianliang Xu, Hong Kong Baptist University, Hong Kong
* Shijie Zhang, Google Inc, USA
* Peixiang Zhao, University of Illinois at Urbana-Champaign, USA
* Shenghuo Zhu, NEC Laboratories America, USA

Read More
Posted in 2013, call for papers, data management, graph mining, workshop | No comments
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