# A socio-semantic analysis of the research domain on Xylella fastidiosa Structure and scientific dynamics

Marc Barbier, Pauline Farigoule, Astrid Cruaud, Jean-Pierre Rossi

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## To cite this version:

Marc Barbier, Pauline Farigoule, Astrid Cruaud, Jean-Pierre Rossi. A socio-semantic analysis of the research domain on Xylella fastidiosa Structure and scientific dynamics. 3rd European Conference on Xylella Fastidiosa and XF-ACTORS final meeting, Apr 2021, Online, France. , 10.5281/zen-odo.4683429. hal-03364873

HAL Id: hal-03364873

https://hal.science/hal-03364873

Submitted on 5 Oct 2021

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# A socio-semantic analysis of the research domain on *Xylella fastidiosa*

## Structure and scientific dynamics

Marc Barbier<fnref n="3" />, Pauline Farigoule<fnref n="1" />,<fnref n="2" />, Astrid Cruaud<fnref n="2" />, Jean-Pierre Rossi<fnref n="2" />

<footnote n="1">¹ AgroParisTech, Paris, France</footnote>

<footnote n="2">² CBGP, INRAE, CIRAD, IRD, Montpellier SupAgro, Univ. Montpellier, Montferrier-sur-Lez, France</footnote>

<footnote n="3">³ UMR LISIS, INRAE, Marne-la-Vallée, France</footnote>
# OBJECTIVE

This poster intends to offer a socio-semantic overall view of the research domain on *Xylella fastidiosa* as a major quarantine pest with worldwide expansion. This scientometric analysis is applied on a corpus of bibliographic notices delineated in the Web of Science (WoS) database with a query based on the topic "*Xylella fastidiosa*".

The purpose of this analysis is to deliver to researchers and policy-makers a retrospective account of the constitution and development of the research domain on *Xylella fastidiosa*. This account is based on the complementary visions and knowledge of authors' discipline: computational social science, ecology and genomics.

## Features of the Corpus extracted from WoS

**Date of extraction:**

15/03/2021 – Time

**Span:** 1987-2021

**Topics:** TS=xylella fastidiosa

**Size:** 1840 publications

**Export:** Full records and cited references

<table><tbody><tr><th>AUTHORS</th><th>Total Nb of Authors</th><th>4207</th></tr><tr><th></th><th>Number of Authors</th><th>Prct of Total Pub.</th></tr><tr><td>With 3 publications at least</td><td>791</td><td>50%</td></tr><tr><td>With 4 publications at least</td><td>593</td><td>40%</td></tr><tr><td>With 7 publications at least</td><td>229</td><td>30%</td></tr><tr><th>JOURNALS</th><th>Total Nb of Journals</th><th>7763</th></tr><tr><th></th><th>Number of Journals</th><th>Prct of Total Publications</th></tr><tr><td>Threshold 117 articles published</td><td>90</td><td>60%</td></tr><tr><td>Threshold 17 articles published</td><td>449</td><td>80%</td></tr><tr><th>CITED REFERENCES</th><th>Total Nb of Cited Ref</th><th>Prct of Total Publications</th></tr><tr><td>Threshold 3 citations</td><td>3993</td><td>51%</td></tr><tr><td>Threshold 10 citations</td><td>846</td><td>39%</td></tr><tr><td>Threshold 29 citations</td><td>229</td><td>20%</td></tr><tr><td>Threshold 70 citations</td><td>60</td><td>10%</td></tr></tbody></table>

Analysis are conducted with the CorTexT Platform, an open science capacity to run various type of textual and network analysis which belong to the RISIS European Infrastructure for science and innovation policies.
## AUTHORS

A growing population of authors but structurally stable in terms of new comers and links of co-authorship

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Cumulated Nb of Publications

Total Nb of Authors per year

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New author ratio per year

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Average number of links per author

The gradient of colours represents the years from 1985 to 2021

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### Network of co-authorship

Top 593 Authors
40% of Publications
The corpus includes
Notices of authors that
have more than 4
publications
Metric Raw, Louvain
viz.

**Node size** reflects the number of publications and **lines** show links between authors. The landscape of co-authors clusters is calculate with louvain algo.

Two variables are projected: the **main continents** to which authors of each cluster belong (Chi2 score) and the top 3 **WoS Category** (Chi2 score).

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CORTEXT
# THE EPISTEMIC COMMUNITIES OF THE RESEARCH DOMAIN

This map shows clusters of terms extracted from abstracts (top 150) built with a vectorial metric (Cosine-Heterogene) that measure the proximity of terms thanks to the calculation of the weighted contributions of Cited References (Top 500, this threshold corresponds to a score of citation above 10).

On each cluster the main Continents are projected (Top 3 with Chi2 score). Each Cluster is interpreted as an epistemic communities, meaning the proximity of concepts and objects of enquiry that emerged from authors' practices of citations.

The landscape shows **three clusters** that are **diseases dependant** (Pierce Dis., Blue; CVC Yellow; QDS Orange) with **clear geographical association**.

Two other main **clusters** are less disease dependant, one (Orange) on **vector life cycle** (US & OCEANIA), another cluster (Red) on **biofilm formation** (ASIA & LATINO & MIDEAST). A last cluster (Green) is associated to the Blue one and shows the research on **pathogen transmission and feeding behavior** (US)

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GEO-SCIENCE OF XYLELLA
FASTIDIOSA RESEARCH

1

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3

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1. The **demography** of Continents shows an **expansion** of Xyl.fast. Res Domain through years and continents. This extension is **related** to disease outbreaks.

2. A Contingency Matrix crossing Clusters of epistemic communities (see colours) with Continents shows a clear specificity of association (measured by the Nb of documents and the Chi 2 score)

3. To better highlight the position of European countries a heat map (Scale of Chi2 intensity, red background) shows how Europe impacts the global landscape with research targeted around QDS.

2

chi2 score: 203.6 (sign. with p-value 3.61e-24)

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QDS

CVC

Biofilm

Pierce

Vector

Transmission

Endophytic bact.