You are browsing a read-only backup copy of Wikitech. The primary site can be found at wikitech.wikimedia.org
User:AKhatun/Wikidata Scholarly Articles Subgraph Analysis
Scholarly articles form a large portion of Wikidata, this has been established for some time. This page highlights the baseline analysis done on Scholarly articles in Wikidata. The aim is to identify not only what portion of Wikidata is schoalrly articles, but also how connected is it to other parts of Wikidata, how many users query this subgraph and what percentage of queries they are. The analysis is therefore divided into two parts:
- Analysis on Wikidata:
- What are schoalrly articles
- Number and percentage of Wikidata entities that are scholarly articles
- How many entities connect to scholarly articles
- How many entities do scholarly articles connect to
- Rate of growth of scholarly articles
- Number of authors that would be isolated from Wikidata if Scholarly articles were removed (meaning, these author entities were created probably only for the purposes of the articles they wrote.)
- Analysis of the WDQS SPARQL Queries:
- What defines a query to be associated with scholarly articles
- The number and percentage of queries associated with scholarly articles
- The number and percentage of queries that require entities other than scholarly articles vs those that rewuire only scholarly articles
The Wikidata dump of 20210719
was used for the following analysis.
Ticket: T281854
Definition of Scholarly Articles
Research papers or books can be considered scholarly articles. This includes journals articles, conference papers, books etc. Wikidata has several types of entities to cover these. More technically speaking, the entities involved are:
- academic journal article: Q18918145
- scholarly article: Q13442814
- scientific journal: Q5633421
- scholarly conference abstract: Q58632367
- conference paper: Q23927052
- scientific conference paper: Q10885494
- And their subclasses
Most of these have overlaps with scholarly articles, and with themselves. Scholarly articles have the largest count (37M) while everything else combined is in the thousands (~130K, excluding those that are included in scholarly articles), therefore the analysis is more focused on scholarly articles than others. The 130K could be even less if the other article types have overlap among themselves. This is not an exhaustive list, but cover most of what we can call scholarly articles or papers or journal articles. A detailed tree diagram of how these entities are related can be found in Scholarly Articles' Tree in Wikidata.
Scholarly Articles
Number of Scolarly Articles
- Total entity count: 94M [1]
- Number of entities that are
instance of
scholarly article: 37308158 (37.3M). 40% of all Wikidata entities are therefore schoalrly articles.
- Total triple count: 12819818340 (12.8B)
- Number of triples included within the scholarly articles: 6399256630 (6.4B). 50% of all triples are directly related to scholarly articles.
Technically, the triple related to scholarly articles come under the 'context' of items that are scholarly articles. Example context of an item is Q39790431 dump. The context count includes:
- + all triples in which the item is a subject
- + the statement triples that rise from these triples
- + triples that define the item itself
- - the refs and vals, as those are re-usable in other items.
Triples per article
i.e triples related to the artciles.
- Average triple per article: 171
- Minimum triple per article: 10
- Maximum triple per article: 41847
See examples of articles with high number of triples in Wikidata_Basic_Analysis#Items
Direct triples per article
i.e triples where scholarly article is the subject.
- Average direct triple per article: 84
- Minimum direct triple per article: 7
- Maximum direct triple per article: 16758
See examples of articles with high number of direct triples in Wikidata_Basic_Analysis#Top_Subjects
This raises the question: Are only a few articles responsible for this huge number of triples, or are the triples distributed evenly among the articles? So we look into the distribution of triples.
Distribution of triples per article
|
Number of days to recovery
If 6.4B triples were to be removed from wikidata, given the current rate of growth, how long would it take for wikidata to get back to its original size again?
The growth rate of triples is not constant, but considering the growth an approximate straight line, in grafana dashboard, Wikidata grows at a rate of 4.77M triples per day. This rate was calculated from the number of triples at the start and end of a 90-day interval (11/3/21 to 6/6/21). It could be faster or a bit slower than this.
- Wikidata will take 1300 days = 44 months = appx. 3.6 years to get back to it's original size. This is a wide approximation, since the growth rate of wikidata is not constant.
Entities connected to scholarly articles
Entities scholarly articles connect to
Rate of growth of scholarly articles
Predicates of Scolarly Articles
- Total distinct predicates: Total distinct predicates of scholarly articles is 2107
- Non-wikidata predicates: 17 of these predicates are non-wikidata predicates, i.e unlike P31/P279 etc, they do not start with the prefix
wikidata.org
. These predicates form 60% of the scholarly article triples. - Non-wiki predicates: 14 of these predicates don't start with
wikidata.org
orwikiba.se
. These are 46% of the scholarly article triples. - Descriptions: Descriptions of scholarly articles form 20.5% of the scholarly article triples. This is 10% of all wikidata triples. Recall that all descriptions (of all items) together forms 19.5% of the entire wikidata.
- External IDs: Of the predicates of scholarly articles, external IDs form #% of scholarly article triples, #% of all triples.
Top predicates
Top properties
Considering only wikidata predicates, i.e mainly properties of items, and combining the direct, prop, and statements of the property, we get the following count of top predicates.
Property name | # of Triples | % of Scholary Article Triples | % of all Triples |
---|---|---|---|
cites work | 789200575 | 12.332 | 6.122 |
author name string | 402859029 | 6.296 | 3.125 |
series ordinal | 154089316 | 2.408 | 1.195 |
publication date | 149227733 | 2.332 | 1.156 |
DOI | 134464365 | 2.100 | 1.045 |
instance of | 120957868 | 1.890 | 0.939 |
title | 112574265 | 1.758 | 0.873 |
published in | 109147370 | 1.707 | 0.846 |
page(s) | 104199512 | 1.629 | 0.807 |
volume | 103612864 | 1.620 | 0.804 |
PubMed ID | 95893499 | 1.499 | 0.744 |
issue | 95083032 | 1.485 | 0.738 |
author | 59439111 | 0.929 | 0.461 |
main subject | 41515900 | 0.648 | 0.321 |
language of work or name | 34801291 | 0.543 | 0.270 |
PMCID | 19059585 | 0.297 | 0.147 |
ResearchGate publication ID | 13734703 | 0.216 | 0.108 |
stated as | 8609378 | 0.135 | 0.067 |
exact match | 8162235 | 0.129 | 0.063 |
Dimensions Publication ID | 4617733 | 0.072 | 0.036 |
Distribution of predicates
Distribution of distinct predicates per article is given below:
- Average distinct predicate per article: 29
- Maximum distinct predicate per article: 102
- Minimum distinct predicate per article: 7
|
Scholarly Articles' Author
Number of authors that would be isolated from Wikidata if Scholarly articles were removed (meaning, these author entities were created probably only for the purposes of the articles they wrote.)