WIN 2011 - Workshop on Interdependent Networks: Quality, Influence and Evolution in Social and Information Networks (WIN2011)
Topics/Call fo Papers
Workshop on Interdependent Networks: Quality, Influence and Evolution in
Social and Information Networks (WIN2011)
at the 22nd ACM Hypertext 2011 which will be held in Eindhoven, NL on June 6-9 2011.
Website: https://sites.google.com/site/ht2011win/
The emergence of new social technologies has not only changed our everyday life but also has led to new forms
of collective information goods such as media collections, commentary and software. Innovative online
production systems have been designed for people to share their ideas, their experiences and their
knowledge enabling the collaborative production of such information goods.
The nature of these collective information goods produced using online production systems ranges from
pooled information (e.g., Flickr, del.icio.us, Slashdot) to structured information (e.g.,
Wikipedia, Factual.com), and tightly coupled information (e.g., open source software). This spectrum
describes both the coupling of the components of an information good as well as to what extent certain
coordination, communication and collaboration processes between participants were required to
develop this good. Concretely, these information goods consist of a social dimension which comprises
links between people based on their interactions and the information dimension which are links based on
syntactic, semantic or logical relations within these goods. Thus, to effectively understand
collective information goods, one must take a multi-dimensional approach that addresses the
interdependence between social relationships and the networked information that those relationships produce.
Only recently have researchers begun to study the collective information goods using multi-dimensional
approaches. This workshop aims to bring together experts in network analysis, information networks,
semantics and social media to further the development and exchange of knowledge around computational
network analysis methods for multi-dimensional networks. We are particularly interested in work that
covers the following three areas:
* Quality - how do we measure quality of a collective information good using network analysis? What is the
relationship between quality information and reputation? How do online production systems cater for quality?
* Influence - how do we measure the influence of information networks on social networks and vice versa? Are
types of networks more influential than others?
* Evolution - how do information and social networks co-evolve? What techniques can be used for measuring
and describing evolution?
+++Topics include+++
Models of influence in social media including Twitter, Facebook and others
Measures and techniques for assessing quality in online production systems such as reputation systems in Wikipedia
Measures and techniques for assessing influence in online production systems
Empirical studies of influence, quality and evolution in social media
Approaches towards influencing users and quality in online production systems
(Co-)evolution of social and information networks
Network visualizations of quality, influence and evolution
+++Important Dates+++
April 1, 2011: Submission Date
April 29, 2011: Notification Date
May 10, 2011: Early conference registration deadline
June 6, 2011: Workshop Date
+++ Organizers+++
Paul Groth, VU University of Amsterdam, The Netherlands
Laura Hollink, Delft University of Technology, The Netherlands
Claudia M�ller-Birn, Freie Universität Berlin, Germany
Markus Strohmaier, Graz University of Technology, Austria and Palo Alto Research Center, USA
+++Program Committee+++
Fabian Abel, Delft University of Technology, The Netherlands
Wouter van Atteveldt, VU University Amsterdam, The Netherlands
Sheila Kinsela, DERI NUI Galway, Ireland
Pablo Castels, Universidad AutÃ?nonoma de Madrid, Spain
Marcelo Cataldo, Carnegie Mellon University, USA
Daniel Gayo, Universidad de Oviedo, Spain
Denis Helic, TU Graz, Austria
Lichan Hong, PARC, USA
George Thomas Kannampallil, University of Illinois at Urbana-Champaign, USA
Christian Körner TU Graz, Austria
Kristina Lerman, Information Science Institute - USC, USA
Jacco van Ossebruggen, CWI, The Netherlands
Anabel Quan-Haase, The University of Western Ontario, Canada
Dirk Riehle, Friedrich-Alexander University of Erlangen-NÃ?rnberg, Germany
Camille Roth, CNRS, France
Jérôme Kunegis, University of Koblenz-Landau, Germany
Bongwon Suh, PARC, USA
Sharoda Paul, PARC, USA
Shenghui Wang, VU University Amsterdam, The Netherlands
Arkaitz Zubiaga, UNED, Spain
Social and Information Networks (WIN2011)
at the 22nd ACM Hypertext 2011 which will be held in Eindhoven, NL on June 6-9 2011.
Website: https://sites.google.com/site/ht2011win/
The emergence of new social technologies has not only changed our everyday life but also has led to new forms
of collective information goods such as media collections, commentary and software. Innovative online
production systems have been designed for people to share their ideas, their experiences and their
knowledge enabling the collaborative production of such information goods.
The nature of these collective information goods produced using online production systems ranges from
pooled information (e.g., Flickr, del.icio.us, Slashdot) to structured information (e.g.,
Wikipedia, Factual.com), and tightly coupled information (e.g., open source software). This spectrum
describes both the coupling of the components of an information good as well as to what extent certain
coordination, communication and collaboration processes between participants were required to
develop this good. Concretely, these information goods consist of a social dimension which comprises
links between people based on their interactions and the information dimension which are links based on
syntactic, semantic or logical relations within these goods. Thus, to effectively understand
collective information goods, one must take a multi-dimensional approach that addresses the
interdependence between social relationships and the networked information that those relationships produce.
Only recently have researchers begun to study the collective information goods using multi-dimensional
approaches. This workshop aims to bring together experts in network analysis, information networks,
semantics and social media to further the development and exchange of knowledge around computational
network analysis methods for multi-dimensional networks. We are particularly interested in work that
covers the following three areas:
* Quality - how do we measure quality of a collective information good using network analysis? What is the
relationship between quality information and reputation? How do online production systems cater for quality?
* Influence - how do we measure the influence of information networks on social networks and vice versa? Are
types of networks more influential than others?
* Evolution - how do information and social networks co-evolve? What techniques can be used for measuring
and describing evolution?
+++Topics include+++
Models of influence in social media including Twitter, Facebook and others
Measures and techniques for assessing quality in online production systems such as reputation systems in Wikipedia
Measures and techniques for assessing influence in online production systems
Empirical studies of influence, quality and evolution in social media
Approaches towards influencing users and quality in online production systems
(Co-)evolution of social and information networks
Network visualizations of quality, influence and evolution
+++Important Dates+++
April 1, 2011: Submission Date
April 29, 2011: Notification Date
May 10, 2011: Early conference registration deadline
June 6, 2011: Workshop Date
+++ Organizers+++
Paul Groth, VU University of Amsterdam, The Netherlands
Laura Hollink, Delft University of Technology, The Netherlands
Claudia M�ller-Birn, Freie Universität Berlin, Germany
Markus Strohmaier, Graz University of Technology, Austria and Palo Alto Research Center, USA
+++Program Committee+++
Fabian Abel, Delft University of Technology, The Netherlands
Wouter van Atteveldt, VU University Amsterdam, The Netherlands
Sheila Kinsela, DERI NUI Galway, Ireland
Pablo Castels, Universidad AutÃ?nonoma de Madrid, Spain
Marcelo Cataldo, Carnegie Mellon University, USA
Daniel Gayo, Universidad de Oviedo, Spain
Denis Helic, TU Graz, Austria
Lichan Hong, PARC, USA
George Thomas Kannampallil, University of Illinois at Urbana-Champaign, USA
Christian Körner TU Graz, Austria
Kristina Lerman, Information Science Institute - USC, USA
Jacco van Ossebruggen, CWI, The Netherlands
Anabel Quan-Haase, The University of Western Ontario, Canada
Dirk Riehle, Friedrich-Alexander University of Erlangen-NÃ?rnberg, Germany
Camille Roth, CNRS, France
Jérôme Kunegis, University of Koblenz-Landau, Germany
Bongwon Suh, PARC, USA
Sharoda Paul, PARC, USA
Shenghui Wang, VU University Amsterdam, The Netherlands
Arkaitz Zubiaga, UNED, Spain
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Last modified: 2011-03-01 18:08:10