conversationsnetwork.org

Multilingual Wikipedia

In June 2020 the website conversationsnetwork.org was on the 57,394th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 77,415th place in June 2020. From Wikipedians' point of view, "conversationsnetwork.org" is the 44,428th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before police.homeoffice.gov.uk and after stevenpressfield.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
57,394th place
377,893
-27,012
AR-score:
44,428th place
71,489
-93
F-score:
77,415th place
100
0

English Wikipedia (en)

PR-score:
49,049th place
222,790
-20,430
AR-score:
47,835th place
27,045
-170
F-score:
64,419th place
40
0

Thai Wikipedia (th)

PR-score:
2,668th place
22,550
-4,550
AR-score:
2,250th place
5,050
0
F-score:
22,538th place
1
0

Bulgarian Wikipedia (bg)

PR-score:
2,541st place
22,285
+4,714
AR-score:
2,403rd place
5,785
0
F-score:
11,177th place
3
0

Indonesian Wikipedia (id)

PR-score:
4,700th place
19,957
+1,300
AR-score:
5,623rd place
3,300
0
F-score:
51,553rd place
1
0

Portuguese Wikipedia (pt)

PR-score:
36,292nd place
12,193
-619
AR-score:
37,241st place
1,885
0
F-score:
75,594th place
2
0

Simple English Wikipedia (simple)

PR-score:
2,542nd place
10,441
-1,731
AR-score:
2,706th place
4,638
0
F-score:
6,734th place
5
0

Macedonian Wikipedia (mk)

PR-score:
711th place
6,993
+280
AR-score:
634th place
4,246
0
F-score:
8,209th place
2
0

Chinese Wikipedia (zh)

PR-score:
87,020th place
2,339
-621
AR-score:
88,587th place
310
+2
F-score:
57,539th place
3
0

Arabic Wikipedia (ar)

PR-score:
118,645th place
100
-400
AR-score:
71,181st place
366
0
F-score:
50,459th place
3
0
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BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...