The graph represents a network of 8,072 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 06 October 2022 at 10:27 UTC.
The requested start date was Thursday, 06 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 24-minute period from Monday, 03 October 2022 at 11:00 UTC to Wednesday, 05 October 2022 at 12:24 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 8072
Unique Edges : 3574
Edges With Duplicates : 11772
Total Edges : 15346
Number of Edge Types : 5
Retweet : 5153
MentionsInRetweet : 5597
Tweet : 2153
Mentions : 1752
Replies to : 691
Self-Loops : 2290
Reciprocated Vertex Pair Ratio : 0.0046643109540636
Reciprocated Edge Ratio : 0.00928531232414181
Connected Components : 1801
Single-Vertex Connected Components : 808
Maximum Vertices in a Connected Component : 2613
Maximum Edges in a Connected Component : 5841
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 8.572033
Graph Density : 0.000109103559231936
Modularity : 0.501055
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,072 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 06 October 2022 at 10:27 UTC.
The requested start date was Thursday, 06 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 24-minute period from Monday, 03 October 2022 at 11:00 UTC to Wednesday, 05 October 2022 at 12:24 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Coronavirus
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[870] covid,19 [329] #prevención,acude [329] acude,centro [329] centro,inmunización [329] inmunización,cercano [329] cercano,domicilio [329] domicilio,lugar [329] lugar,trabajo [329] trabajo,ponte [329] ponte,vacuna Top Word Pairs in Tweet in G1:
[160] covid,19 [79] 200,000 [70] 000,over [70] over,25 [70] 25,years [43] rates,200 [38] 32,mortgage [34] 32,rates [30] coronavirus,pandemic [24] #covid19,#coronavirus Top Word Pairs in Tweet in G2:
[315] attention,brigitte [315] brigitte,autran [315] autran,dirige [315] dirige,nouveau [315] nouveau,conseil [315] conseil,scientifique [315] scientifique,vient [315] vient,cracher [315] cracher,morceau [315] morceau,ils Top Word Pairs in Tweet in G3:
[226] covid,19 [225] norway,recommend [225] recommend,covid [225] 19,boosters [225] boosters,healthy [225] healthy,individuals [225] individuals,lt [225] lt,65 [225] 65,years [225] years,age Top Word Pairs in Tweet in G4:
[209] unbelievable,fauci [209] fauci,waning [209] waning,months [209] months,head [209] head,niaid [209] niaid,greenlit [209] greenlit,600k [209] 600k,grant [209] grant,peter [209] peter,dzask Top Word Pairs in Tweet in G5:
[309] #prevención,acude [309] acude,centro [309] centro,inmunización [309] inmunización,cercano [309] cercano,domicilio [309] domicilio,lugar [309] lugar,trabajo [309] trabajo,ponte [309] ponte,vacuna [291] vtvcanal8,#prevención Top Word Pairs in Tweet in G6:
[88] liebe,kinder [88] kinder,melanie [88] melanie,klassensprecherin [88] klassensprecherin,expertenrats [88] expertenrats,bundesregierung [88] bundesregierung,erklärt [88] erklärt,allen [87] holmenkollin,liebe [27] covid,19 [26] immer,mehr Top Word Pairs in Tweet in G7:
[32] coronavirus,infections [32] infections,once [32] once,again [32] again,rise [32] rise,primary [32] primary,secondary [32] secondary,education [32] education,minister [32] minister,dennis [32] dennis,wiersma Top Word Pairs in Tweet in G8:
[145] #新型コロナウイルス,#covid19 [135] 詳細は下記urlより,#新型コロナウイルス [45] 死者が増えても本当に何もしない,今日の感染者数は4万1193人となかなか収まらない [45] 今日の感染者数は4万1193人となかなか収まらない,死者は74人 [45] 死者は74人,累計で4万5225人と着実に増えている [45] 累計で4万5225人と着実に増えている,キシダメ統一教会内閣の無能無策ゆえに [45] キシダメ統一教会内閣の無能無策ゆえに,2022年に入ってから2万6819人が亡くなった [44] masaru_kaneko,死者が増えても本当に何もしない [44] 2022年に入ってから2万6819人が亡くなった,コロナ死の約 [26] 丁寧な説明,というだけで何もしないキシダメ Top Word Pairs in Tweet in G9:
[28] covid,19 [26] covid,deaths [25] meanwhile,german [25] german,covid [25] 19,rules [25] rules,being [25] being,introduced [25] introduced,infections [25] infections,rise [25] rise,colder Top Word Pairs in Tweet in G10:
[80] noorwegen,sijpelt [80] sijpelt,wat [80] wat,gezond [80] gezond,verstand [80] verstand,door [80] door,geen [80] geen,boosters [80] boosters,meer [80] meer,gewone [80] gewone,mensen Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: