An analysis tool to monitor Technologies and Organisations · Sociograms • Sociometric data: Social network data consist of measurements on a variety of relations for one or more

An analysis tool to monitor

Technologies and Organisations

EMM-Collaboration Spotting: A demo

A. Agocs, B. Denis, A. Efthymiou, S. Fragkiskos, J.-M. Le Goff, E. Skogstad

Collaboration Spotting

Weizmann Institute, Rehovot, January 21st, 2014

Collaboration Spotting, sociogram and technogram 1

Agenda

• Collaboration Spotting tool • Sociogram • Technogram (under construction) • An application example

• Trace the impact of an FP project

2 Collaboration Spotting, sociogram and technogram

http://collspotting.web.cern.ch/

Collaboration Spotting Data sources

• Publications • The web of knowledge • Scopus (evaluation in the pipeline) • Google, etc.

• Patents • Espacenet, • Thomson Innovation, etc.


Collaboration Spotting concepts • Sociograms

• Sociometric data: Social network data consist of measurements on a variety of relations for one or more sets of actors.

• We use graphs to graphically display a particular set of sociometric data

• Using notations of the graph theory • Nodes Actors • Edges Relations • Sizes and colours

The Collaboration Spotting Project

Collaboration Spotting concepts (2) • Measurements relations

• Publications Co-publishing • Patents Co-patenting • Project proposal Participating in the same project

• Tenders Dealing with the same technology • Node:

• Organisation • Technology



• Sociogram: Organisation landscape related to one specific technology • Node: Organisation,

• Institute, • Company, • Not-for-profit

• Node size: Number of publications and/or patents related to a specific technology

• Edge: Co-publications and/or co-patents • Access to all publications and patents on the edge

• Edge thickness: Number of co-publications and/or co-patents


Dynamic sociograms

Collaboration Spotting, sociogram and technogram 7

http://collspotting.web.cern.ch/sites/collspotting.web.cern.ch/files/HTML/maps/index.html


Sociogram features

• Timeline • Evolution of the publication and/or patent landscape

• Modularity • Highlighting organisations that tend to collaborate

more often together than with others • Key players

• Threshold to display most active nodes • Impact

• View most cited work



• Technogram: Technology landscape • Node: Technology, Technology family, device • Node size: Number of publications and/or

patents related to the node’s technology • Edge: Publications and/or patents mentioning

both technologies • Edge thickness: Number of publications and/or

patents mentioning both technologies


SLID

Monolithic Active Pixel Sensors

Medipix 2

Pilatus

Ion Implanters

Resistive Plate Chambers

Interposers

Germanium

Electron Beam lithography

Micropattern Gas Detectors

Medipix 3

Bump bonding

10

SLID

Medipix 2

Ion Implanters

Resistive Plate Chambers

Interposers

Germanium

Electron Beam lithography

Micropattern Gas Detectors

Bump bonding

2000 2013

Collaboration Spotting, sociogram and technogram

Technogram (under construction)

Technogram features • Timeline

• Evolution of the technology landscape • Modularity

• Highlighting technologies that tend to appear more often together than with others

• Key players • Threshold to display most popular technologies

• Impact • View most cited technologies 11 Collaboration Spotting, sociogram and technogram

Navigation between socio & techno gram

• Technology • Right click Corresponding technology sociogram

• Organisation • Right click technogram; highlighting the

technologies in which the selected organisation is involved


XML structures

• Publications • Patents • Technologies • Organisations • Sociogram (computed map) • Technogram (computed map)


Example: Project follow-up

• We can use Collaboration Spotting to trace the impact over time of projects, collaborations, topical events (i.e.: Academia industry matching events)

• Ex: FP6 Project: • Biocare Focus: PET scanners and Radiotracers

• Collaboration Spotting offers the possibility to trace the evolution of the landscape on individual technologies • Ex: PET scanners


Project follow-up: The approach

• Choose technology PET scanners • Publications:

• Search: • All papers authored by one or more Biocare Partners

• Result: • Biocare Partners collaboration landscape • Partners highlighted in Gold

• Patents: • Search:

• All patents authored by one or more organisations of the Biocare collaboration landscape (Project partners and co-publishers)

• Result: • Biocare collaborating organisation patent landscape • Biocare Partners’ patents highlighted in Gold


Results: PET landscape

Numbers Context

2005: 426 Organisations 581 papers 2013: 931 Organisations 1437 papers

Involved worldwide in PET activities and having published

2005 (Biocare) 75 Organisations 42 papers

Where linked with the Biocare consortium members at the time of kick-off (2005) ~18% of the active community for 7.2% of the papers Pertinent choice of consortium members

2013 (Biocare) 115 Organisations 112 papers

Where linked with the Biocare consortium members in 2013 12.3% of the organisations for 7.8% of the papers Retained activity level in a growing community


• Searches on PET with the Web of Knowledge • Biocare: (21 Partners in consortium agreement)

PET follow-up via sociograms • The full PET landscape

• PET pubs (all organisations) • The full PET landscape highlighting Biocare

consortium members • Pet Pubs (all), Biocare organisations highlighted

• The Biocare landscape (standard view) • Biocare-driven PET pubs

• The Biocare landscape highlighting the consortium members • BIOcare-driven PET pubs, BIOcare direct members

highlighted in GOLD

















What can we trace?

• In principle, collaboration Spotting can trace the evolution of the publication and patent landscape: • For any individual organisation or technology (built-in) • To show the impact of:

• Any organisation participating in an event • Any organisation participating in a project or scientific

collaboration • To position project members • To show the impact of a project on a specific technology


Using Collaboration Spotting in your domain

• What do you need to do?

• Conduct from the Web of Knowledge your searches for papers and patents on the technologies you are interested in.

• Send the result files to the Collaboration Spotting team • What do we do for you?

• We process your result files and build the XML Objects • Organise the output sociograms in a technogram that

you can store on your own website • For domains related to HEP, we will also include the

technologies in our technogram


Maintaining your diagrams up-to-date • Currently:

• Run your keyword searches periodically and send us the output for processing

• Future plans: (See Bernard’s slides) • We are currently evaluating with JRC the possibility of

using EMM to monitor new publications, patents and news on the Topics that the EC is funding in the framework of H2020.

• JRC has hired one person to develop a proof of concept


Topic vs Technology

• In relation with PET scanners • Topics:

• Functional imaging • (more recently) Molecular imaging

• Technologies: • PET, SPECT, Functional MRI, Gamma Camera • Radiopharmaceuticals, tracers


Future development plans

• Collaboration Spotting • Access to full patent information from diagram • Fully automated spellchecking and streamlining for

organisation names • Package to trace any project, event or collaboration • Timeline view for patent follow-up

• From publication to lapsing date • (Later) Timeline view for publications including

• Mergers, acquisitions, name changes






What we are aiming at?

• JRC to provide on behalf of the EC to the scientific community new information on patents, publications and press releases related to all the Topics supported by the EC

• Each scientific domain to link its technologies to the Commission’s topics to update their technology landscapes


Documents

An analysis tool to monitor Technologies and Organisations · Sociograms • Sociometric data: Social network data consist of measurements on a variety of relations for one or more