Your Collaboration Network

This guide explains how Atlas Verify analyzes and visualizes your scientific collaboration network.

What is the Collaboration Network?

The collaboration network represents all the researchers with whom you have co-published. This analysis allows you to:

Visualize your partnerships: Who are your regular collaborators?
Identify opportunities: Which researchers close to your network could be future partners?
Document your activity: Demonstrate the collaborative dimension of your work

Network Visualization

Collaboration Graph

Your network is displayed as an interactive graph:

                    [Dr. Martin]
                         │
                         │ 8 articles
                         │
    [Prof. Bernard]──────●──────[Dr. Petit]
         │              /│\              │
    3 articles        /  │  \       5 articles
         │          /    │    \          │
                  /      │      \
        [Dr. Chen]    [You]    [Prof. Kim]
              │                      │
         2 articles             4 articles

Node size: Number of co-publications with you
Link thickness: Intensity of collaboration
Color: Primary research area
Distance: Thematic proximity

Available Filters

You can filter your network by:

Filter	Description
Period	Collaborations from a specific time period
Domain	Only a specific research area
Institution	Collaborators from a given institution
Country	International dimension
Intensity	Minimum number of co-publications

Collaboration Details

Collaborator Profile

By clicking on a collaborator, you see:

Information	Example
Name	Dr. Sophie Martin
Current institution	CNRS, Paris
Co-publications	8 articles
First collaboration	2019
Last collaboration	2024
Common domains	Machine Learning, NLP

Collaboration History

The timeline shows the evolution of your collaboration:

2019    2020    2021    2022    2023    2024

  ●       ●●      ●       ●●●     ●
Article  2 art.  Article  3 art.  Article

Joint Publications

List of your co-publications with this researcher, sorted by date.

Types of Collaborators

The system categorizes your collaborators:

Type	Definition	Typical example
Regular collaborator	5+ articles, continuous collaboration	Laboratory colleague
Project partner	2-4 articles, defined period	Joint ANR project
One-time collaboration	1 article	Conference, invited article
Historical	No co-publication for over 3 years	Former thesis advisor

Network Statistics

Global Metrics

Metric	Your value	Description
Unique co-authors	47	Total number of collaborators
Extended network size	312	Collaborators of your collaborators
Collaboration index	3.2	Average co-authors per article
Internationalization	65%	Proportion of foreign collaborators

Geographic Distribution

Map showing the location of your collaborators:

France            ████████████████  35 (45%)
United States     ████████          15 (19%)
United Kingdom    █████             10 (13%)
Germany           ████               8 (10%)
China             ███                6 (8%)
Other             ██                 4 (5%)

Distribution by Domain

Machine Learning    ████████████████████  28 collaborators
NLP                 ████████████          18 collaborators
Computer Vision     ████████               12 collaborators
Data Science        ██████                  9 collaborators

Validate Your Network

Confirm a Collaboration

If a collaborator is correctly identified, you can confirm them to improve reliability.

Report an Error

If a person incorrectly appears as a collaborator:

Homonym: That's not you on this article
Database error: Incorrect attribution

Add a Missing Collaborator

If a collaborator doesn't appear:

First check that the joint publication is in your list
If so, report the missing collaborator
Provide their identifier (preferably ORCID)

Extended Network

Second-level Collaborators

Discover researchers close to your network:

Dr. Laurent Dubois (University of Lyon)
Collaborator of: Dr. Martin, Prof. Bernard
Domains: Machine Learning, Optimization
23 publications (including 5 highly cited)

These suggestions can help you identify future partners.

Collaboration Paths

The system shows how you are connected to a distant researcher:

You → Dr. Martin → Prof. Anderson → Dr. Target
         (8 art.)      (3 art.)

Temporal Dimension

Network Evolution

Visualize how your network has grown:

2015: ●●● (5 collaborators)
2018: ●●●●●●● (12 collaborators)
2021: ●●●●●●●●●●●● (25 collaborators)
2024: ●●●●●●●●●●●●●●●●●●● (47 collaborators)

Active vs Historical Collaborations

Status	Definition	Count
Active	Co-publication < 2 years ago	18
On hold	2-5 years without co-publication	15
Historical	> 5 years without co-publication	14

Export Formats

PDF: Visual report of your network
CSV: List of collaborators with metrics
GraphML: For analysis in Gephi or other tools
JSON: Structured data for integration

CV Integration

Automatically generate a "Collaborations" section for your CV:

International collaborations
47 co-authors from 15 countries
Established partnerships with 12 institutions
Regular collaborations with CNRS, MIT, Max Planck Institute

Your Collaboration Network ​

What is the Collaboration Network? ​

Network Visualization ​

Collaboration Graph ​

Available Filters ​

Collaboration Details ​

Collaborator Profile ​

Collaboration History ​

Joint Publications ​

Types of Collaborators ​

Network Statistics ​

Global Metrics ​

Geographic Distribution ​

Distribution by Domain ​

Validate Your Network ​

Confirm a Collaboration ​

Report an Error ​

Add a Missing Collaborator ​

Extended Network ​

Second-level Collaborators ​

Collaboration Paths ​

Temporal Dimension ​

Network Evolution ​

Active vs Historical Collaborations ​

Export and Sharing ​

Export Formats ​

CV Integration ​

See Also ​