<%BANNER%>
UFIR
STANDARD VIEW MARC VIEW
Permanent Link: http://ufdc.ufl.edu/IR00003200/00001
 Material Information
Title: Identifying Collaborative Relationships and Interconnections Between Research Communities Using LinkedIn Maps
Physical Description: Presentation
Creator: David Eichmann
Noshir Contractor
Holly Falk-Krzesinski
Melissa Haendel
Michael Conlon
Publisher: Northwestern University
Place of Publication: Evanston, IL
 Notes
Acquisition: Collected for University of Florida's Institutional Repository by the UFIR Self-Submittal tool. Submitted by Michael Conlon.
Publication Status: Published
 Record Information
Source Institution: University of Florida Institutional Repository
Holding Location: University of Florida
Rights Management: All rights reserved by the submitter.
System ID: IR00003200:00001


This item is only available as the following downloads:

EichmannSciTS2013 ( PDF )

EichmannSciTS2013 ( PPTX )


Full Text

PAGE 1

Identifying Collaborative Relationships and Interconnections Between Research Communities Using LinkedIn Maps David Eichmann University of Iowa Noshir Contractor Northwestern University Holly J. Falk Krzesinski Elsevier & Northwestern University Melissa Haendel Oregon Health Science University Michael Conlon University of Florida

PAGE 2

Current Approaches to Team Identification Survey the target community Suffers from issues of scale and detection Quantitatively analyze a surrogate information source Publication/Grant co authorship Temporally offset from actual collaboration Serious information loss re true expertise

PAGE 3

Some Early Data on CTSA Consortium Collaboration Org. Cornell NW OHSU UCSF Fla Iowa Cornell NW 0 OHSU 0 66 UCSF 0 1944 258 Fla 0 25 4 40 Iowa 0 267 52 353 36 Inter Institutional co authorship pair counts

PAGE 4

The Path to Now Holly comes across the new service out of LinkedIn Labs, visualization of your LinkedIn connections http:// inmaps.linkedinlabs.com resist poking about to see if he can scrape the data Having done so, he twists arms of selected colleagues to cough up their maps

PAGE 10

Phase 1 Acquisition of graph structure Nodes, edges, coordinates, cluster membership Acquisition of node characteristics Person name, URL, public ID

PAGE 11

Aggregate Graph Statistics Person # Nodes # Edges Ave. Edges/Node Dave 339 2,816 8.3 Holly 1,835 13,930 7.6 Melissa 272 2,577 9.5 Michael 461 5,571 12.1 Noshir 2,373 27,203 11.5

PAGE 12

Subgraph Size Subgraph Dave Holly Melissa Mike Nosh 0 96 127 45 96 189 1 37 124 41 103 155 2 36 123 40 69 217 3 34 123 33 72 212 4 25 108 26 81 143 5 23 105 26 24 247 6 18 102 15 4 144

PAGE 13

Overall Population Characteristics Total distinct individuals: 4959 Shared by 2 or more: 246 Shared by 3 or more: 43 Shared by 4 or more: 22 Shared by 5 or more: 10

PAGE 14

For the 5 or more The primary participants (except Nosh!) Others: Bill Barnett Ying Ding Kristi Holmes Warren Kibbe Titus Schleyer Griffin Weber

PAGE 15

Phase 2 Screen scrape the public page for a person # of connections (capped at 500) Organizational affiliations Expertise endorsements

PAGE 16

Subgraph Intersection (Dave) Subgraph Holly Melissa Mike Nosh 0 2 8 24 3 1 2 6 14 25 2 3 1 4 5 6

PAGE 17

Subgraph Expertise Characterization Cluster 0

PAGE 18

Subgraph Expertise Characterization Cluster 2

PAGE 19

Subgraph Expertise Characterization Cluster 3

PAGE 20

Spectrum of Relationships (2012)

PAGE 21

Spectrum of Relationships (2012) RN Tools

PAGE 22

Spectrum of Relationships (2012) RN Tools Linked In

PAGE 23

Spectrum of Relationships (2012) Ontologies used foaf (Friend of a Friend) rel (Relationship) mo (Music) Echos Trigg, R. 1983. Network Based Approach to Text Handling for the Online Scientific Community. Ph.D. dissertation Department of Computer Science, University of Maryland, technical report TR 1346

PAGE 24

Observations N = 5 LinkedIn expertise endorsements are an ad hoc folksonomy Melding this with the typically controlled vocabulary of the research networking tools should prove interesting These characteristics RN meta data

PAGE 25

Questions? Email: david eichmann@uiowa.edu Thanks to my co authors and the Research Networking Affinity Group Supported in part by NIH grants 2 UL1 TR000442 06 and UL1 RR024979