Readme

2026-04-07

Juselius_backdoor

Juselius_backdoor is an R pipeline for constructing and analyzing coauthorship networks of Sigrid Juselius Foundation grantees using OpenAlex author IDs. It extracts authors from a text file, resolves their OpenAlex IDs, retrieves their publications, and builds a weighted coauthorship network.

View Interactive version of this plot

Features

• Extracts grantee names from text files.
• Resolves authors to OpenAlex IDs.
• Collects publication data for each author.
• Builds a weighted coauthorship network.
• Computes network metrics:
  • Degree (number of collaborators)
  • Weighted degree
  • Betweenness (key connectors)
  • Eigenvector centrality (influence)
• Detects communities using the Louvain algorithm.
• Generates visualizations:
  • Network graph with community coloring
  • Scatter plot of one-time vs. total coauthorship
  • Histograms of centrality measures
• Exports networks for Gephi analysis (.gml format).

---

Installation

# Install required packages
install.packages(c(
  "httr", "jsonlite", "dplyr", "igraph", "ggraph", 
  "tidygraph", "ggplot2", "ggrepel", "viridis"
))

---

🚀 Usage

1. Place your grantee text file in the project folder (e.g., jus2026adult.txt).

2. Run the pipeline R scripts in order:

   • Extract author names
   • Search OpenAlex IDs
   • Retrieve papers
   • Build the coauthorship network
   • Compute network metrics
   • Visualize results

📊 Output

• Weighted coauthorship network (.gml) for Gephi
• Network metrics per author (netSummary)
• Visualizations of network structure and centrality

Top 10 Researchers (by weighted degree):

	author	degree	wdegree	betweenness	community	primary_neighbor_MaxW
193	Tammela Teuvo	33	4897	0.0006030	2	Auvinen Anssi
88	Knip Mikael	51	4574	0.0297573	13	Toppari Jorma
6	Aittokallio Tero	55	4097	0.0152286	6	Kontro Mika
165	Ristimäki Ari	62	3973	0.0156645	6	Haglund Caj
199	Toppari Jorma	52	3795	0.0267586	13	Knip Mikael
213	Visakorpi Tapio	44	3774	0.0185478	2	Nykter Matti
33	Haglund Caj	49	3681	0.0164748	6	Ristimäki Ari
19	Carpen Olli	76	3613	0.0279969	12	Hautaniemi Sampsa
147	Palotie Aarno	103	3493	0.0462684	1	Pirinen Matti
182	Schleutker Johanna	39	3291	0.0000411	2	Tammela Teuvo

Top 3 Researchers per Community:

author	wdegree	community
Palotie Aarno	3493	1
Hiltunen Mikko	2320	1
Rinne Juha	2090	1
Tammela Teuvo	4897	2
Visakorpi Tapio	3774	2
Schleutker Johanna	3291	2
Töyräs Juha	1442	3
Korhonen Rami	1246	3
Saarakkala Simo	951	3
Jalkanen Sirpa	2748	4
Salmi Marko	2182	4
Roivainen Anne	1763	4
Saarma Mart	627	5
Palva Matias	572	5
Palva Satu	456	5
Aittokallio Tero	4097	6
Ristimäki Ari	3973	6
Haglund Caj	3681	6
Alitalo Kari	2618	7
Yla Herttuala	2052	7
Malm Tarja	1599	7
Hallman Mikko	667	8
Rämet Mika	556	8
Ashorn Per	276	8
Groop Per-Henrik	1810	9
Pietiläinen Kirsi	1150	9
Sandholm-Lafferre Niina	873	9
Belogurov Georgi	80	10
Malinen Anssi	48	10
Metsä-Ketelä Mikko	44	10
Vapalahti Olli	2251	11
Varjosalo Markku	1830	11
Kere Juha	1722	11
Carpen Olli	3613	12
Hautaniemi Sampsa	3236	12
Kauppi Liisa	1576	12
Knip Mikael	4574	13
Toppari Jorma	3795	13
Hyöty Heikki	3224	13

View Interactive Co-authorship Network

⚠️ Notes & Limitations

• Author matching is based on name search and may introduce minor errors
• OpenAlex data is continuously updated → results may vary between runs
• API rate limits and connectivity can affect data retrieval
• Some manual validation was performed, but results are not error-free

📌 Interpretation Notes

• High degree + low wdegree → broad but shallow collaboration
• Low degree + high wdegree → deep collaboration with few partners
• Primary neighbor → strongest collaboration link (potential entry point into a research cluster)

License

MIT License – free to use and modify.

This is a fully self-contained **R Markdown README**.  

If you want, I can also add a **“Quick Start” code chunk** at the top so users can generate the scatter plot in **one go**, which is very handy for GitHub. Do you want me to do that?