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2nd Call for Papers - EXTENDED DEADLINES!!

Pre-conference workshop PAKM 2008, November 21, Japan

“Knowledge Networks: Discovering network structure and patterns using
Social Network Analysis”

*Workshop chairs*
- Dr. Remko Helms, Faculty of Science, Department of Information and
Computing Sciences, Utrecht University, Netherlands ([log in to unmask])
- Dr. Miha Škerlavaj, Faculty of Economics, Department for Management and
Organization, University of Ljubljana, Slovenia
([log in to unmask])

*Important dates*
- Workshop paper submission deadline : 30 September 2008
- Notification of paper acceptance : 15 October 2008
- Camera-ready version of paper : 30 October 2008
- Workshop day : 21 November 2008 (full-day workshop)

*Workshop Objectives*
During the last decade, knowledge has become a key consideration in our
economies and it is heavily associated with innovation. Alongside this,
so-called knowledge networks have arguably come to play a central role in
organizations. These networks, which are built on social relations between
employees, might serve various purposes such as collaborative problem
solving, seeking advice, or developing competences by learning from peers.
Recently, the network perspective has gained interest in the domain of
knowledge networks and involves the study of the structure and patterns of
knowledge networks. These studies rely heavily on theory and tools from
social network analysis that has already a longstanding tradition in the
sociology domain. The tools and techniques developed in this domain can be
fruitfully applied in the field of knowledge networks. These techniques
and tools can be used as (1) assessment tools and (2) research
As an assessment tool, social network analysis can be used to visualize
and analyze for instance the advice seeking relations in an organization.
Through visual inspection of the sociogram and by calculating network
metrics such as average shortest path, connectedness or centralization, it
is possible to detect potential bottlenecks in the advice seeking network
of the organization. However, there is not much consensus yet about the
network metrics that should be used. Furthermore, there is hardly any
benchmark data available to determine e.g. if a certain value for the
average shortest path is too high or not. Finally, in many cases it is not
known what the structure of an ideal knowledge network looks like and how
a particular instance of a knowledge network is deviating from that ideal
Secondly, social network analysis can also be used as a research
instrument to study how the structure and patterns of knowledge networks
are related to other variables such as task, group and organizational
performance or to demographic data of people in the network. Much of the
research so far has focused on a limited number of network metrics that
are typically studied individually: interaction effects are neglected.
Furthermore, group level performance also did not receive much attention
Regardless of how social network analysis is used, in both cases it is
necessary to collect social network data. This is typically done using
interviews and/or surveys, which is a labor intensive task. Recently, also
other ways of collecting network data have been explored such as mining
e-mail traffic (only header or also content information) or the archives
of online community forums. The advantage of this way of data collection
is that it is less labour intensive and at the same time offers to do
longitudinal analysis for studying the dynamics of knowledge networks.
However, there has not been much research that studies if communication
networks, i.e. e-mail traffic, actually resemble knowledge networks.

The workshop aims to bring together researchers from different disciplines
that are interested in the application of social network analysis tools
and techniques in knowledge network research. As such, the workshop
provides a platform: 1) to elaborate on frequently used and emerging
research questions and 2) to evaluate methodology used and, 3) to compare
results of different research settings. We welcome both theoretical and
empirical papers that employ diverse methodologies and philosophical

*Suggested topics* (but not limited to this list)
• Influence of network position/network pattern on individual/
group/organizational performance
• Tools for harvesting mail messages and online communities for knowledge
network data
• Case studies concerning the application of SNA to study knowledge
networks in organizations
• Research that studies the factors that influence the formation of
knowledge networks
• Case studies concerning the analysis of knowledge networks based on
e-mail data
• Relation of knowledge networks to other networks such as friendship or
communication networks
• Tools that track, map, and visualize knowledge networks
• Dynamics of networks, i.e. evolution of networks over time
• Application of cluster algorithms to detect knowledge
networks/communities of practice in social network data
• Effects of social network technologies on the structure of knowledge

*Paper submission and publication*
Authors are invited to submit original and unpublished research papers.
Paper submissions should be limited to a maximum of 8 pages (i.e. short
Paper) in the Springer LNCS format. Please refer to the Springer LNCS web
site for the paper formatting instructions. Preferred formats are
Microsoft Word or PDF. Papers should be submitted via email to Dr Remko
Helms, the Workshop Chair. Papers submitted to the workshop will undergo a
peer-review process. At least one author of the accepted paper is required
to attend the workshop and present the paper.

It is envisaged to publish extended versions (i.e. full papers) of the
best papers in a special issue of a journal, e.g. Journal of Knowledge
Management or Knowledge Management Research and Practice.

*Workshop committee*
• Andrea Back, University of St Gallen, Austria
• Elaine Ferneley, University of Salford, United Kingdom
• Claudia Müller, University of Stuttgart, Germany
• Tobias Müller-Prothman, Pumacy Technologies AG, Germany
• Jurriaan van Reijsen, Utrecht University, Netherlands
• Sarah Spiekerman, Humboldt University Berlin, Germany
• Robin Teigland, Stockholm School of Economics, Sweden

For further inquiries on the workshop please contact Dr Remko Helms at
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