Algorithms and Tools Relevant for the

plantationscarfΤεχνίτη Νοημοσύνη και Ρομποτική

25 Νοε 2013 (πριν από 3 χρόνια και 6 μήνες)

53 εμφανίσεις

Algorithms and Tools Relevant for the
Mapping of Science and HPS

Lead: Kevin Boyack


Participants:

Tony Beavers

Yunwei Chen

Jean
-
Gabriel Ganascia

Jaimie Murdock

Andrew Ravenscroft

Chris Sula

John Walsh

Angela Zoss


Breakout session on

General Considerations


Differences between network creation analysis and
visualization algorithms


Data formats don’t fit directly into tools: for example, data
needs to be fielded for some tools (may need some
middleware, additional conversion tools)


What are the similarities and differences between
science and HPS? Are there different needs? Can the
same algorithms be applied to all data sets?

Associated Challenges and Opportunities


How to generate maps/networks from HPS data?

Proposed Solutions


Host a NWB demo


online workshop, DVD


Have HPS researchers send feedback on desired
features to NWB team

Data


TEI
-
XML docs (1990s

); see tei
-
c.org


Names


Dates


Links


Text blocks (documents, without tags)



Tools


NWB


Simile Timeline


Google Maps


Adobe Flex (with Google Code Library Birdeye)


Python/PERL/SQL


Pajek

Algorithms


Visualization algorithms:


Layout algorithms (spring weights


no clustering)


Clustering algorithms (after/within visualization)


Treemaps


Graph layouts (nodes and edges)


Dendrogram


Self
-
organizing map (also generates the network)


Network creation/analysis algorithms:


TFIDF (for word co
-
occurrence)


Clustering algorithms (agglomerative, pure, trained/supervised)