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Visualising Research Graph using Neo4j and Gephi
1. Visualising Research Graph using
Neo4j and Gephi
Amir Aryani - orcid.org/0000-0002-4259-9774
Hao Zhang - orcid.org/0000-0002-1382-0505
Australian National University (ANU)
This presentation on "Creating a Distributed Graph using RD-Switchboard" by Dr. Amir Aryani is licensed under a Creative Commons Attribution-ShareAlike 4.0
International License (http://creativecommons.org/licenses/by-sa/4.0/).
2. Agenda
• What do we try to achive (abstract view) and why?
• Background: What is Research Graph?
• Live demo of Neo4j
• Data pipeline
• Live demo of Gephi
• Gephi filters
8. DDRI WG Approach
Connecting datasets on the basis of
co-authorship or other collaboration
models such as joint funding and
grants.
Research Data Alliance
24. Find links to ORCID
match (n:dataset:dryad)- -(o:orcid) return count(n)
match (n:dataset:ands)- -(o:orcid) where n.ands_group='The
University of Sydney' return n limit 10
26. Find Shortest Path Between
Two Datasets
MATCH p=shortestPath(
(d1:dryad:dataset {doi: '10.5061/dryad.4qq0v'})-[*]-
(d2:ands:dataset {doi:'10.1186/1471-2172-12-48'})
) RETURN p
38. General track 10: Machine friendly repositories
Time: Thursday, 29/Jun/2017: 9:00am - 10:30am
Research Graph: Building a Distributed Graph of Scholarly
Works using Research Data Switchboard
39. Further information
• Collaborators: http://researchgraph.org/collaborators/
• Schema: http://researchgraph.org/schema/
• GitHub: https://github.com/researchgraph
• Facebook: facebook.com/researchgraph
To get involved in this project please contact
amir.aryani@ands.org.au