The graph represents a network of 17,044 Twitter users whose recent tweets contained "#Covid19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 01 August 2022 at 23:02 UTC.
The tweets in the network were tweeted over the 8-hour, 3-minute period from Monday, 01 August 2022 at 13:38 UTC to Monday, 01 August 2022 at 21:42 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 : 17044
Unique Edges : 22926
Edges With Duplicates : 7157
Total Edges : 30083
Number of Edge Types : 5
Mentions : 3644
Retweet : 14415
MentionsInRetweet : 7864
Tweet : 3496
Replies to : 664
Self-Loops : 3704
Reciprocated Vertex Pair Ratio : 0.00792912513842746
Reciprocated Edge Ratio : 0.0157334974070493
Connected Components : 2318
Single-Vertex Connected Components : 1095
Maximum Vertices in a Connected Component : 10382
Maximum Edges in a Connected Component : 19860
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 9.123078
Graph Density : 7.83321747717574E-05
Modularity : 0.757357
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 17,044 Twitter users whose recent tweets contained "#Covid19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 01 August 2022 at 23:02 UTC.
The tweets in the network were tweeted over the 8-hour, 3-minute period from Monday, 01 August 2022 at 13:38 UTC to Monday, 01 August 2022 at 21:42 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 : TwitterSearch
Graph Term : #Covid19
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2900] de,la [2203] le,gouvernement [2196] état,urgence [2193] ne,peut [2191] gouvernement,ne [2064] la,#covid19 [1711] et,aux [1699] port,du [1695] du,masque [1660] urgence,sanitaire Top Word Pairs in Tweet in G1:
[1553] et,aux [1550] état,urgence [1550] urgence,sanitaire [1550] sanitaire,pris [1550] pris,fin [1550] fin,le [1550] le,gouvernement [1550] gouvernement,ne [1550] ne,peut [1550] peut,recourir Top Word Pairs in Tweet in G2:
[356] ont,fait [315] et,les [223] la,crise [219] pour,les [217] du,#covid19 [213] ça,est [208] crise,#covid19 [206] de,nombreuses [205] les,responsables [204] #covid19,#pfizer Top Word Pairs in Tweet in G3:
[104] covid,19 [74] de,la [60] de,#covid19 [48] #covid19,#pandemic [42] #assistedliving,#entertainment [42] #pandemic,ruined [42] ruined,precious [42] precious,time [42] time,lost [42] lost,elders Top Word Pairs in Tweet in G4:
[1428] la,#covid19 [1419] de,la [723] las,medidas [721] medidas,de [640] de,bioseguridad [579] el,contagio [576] la,guardia [566] todas,las [563] con,todas [560] #covid19,mantengamos Top Word Pairs in Tweet in G5:
[701] #covid19,hospital [701] schools,starting [696] pediatric,#covid19 [696] hospital,admissions [696] admissions,shows [696] shows,signs [696] signs,slowing [696] slowing,down [696] down,schools [696] starting,open Top Word Pairs in Tweet in G6:
[73] #covid19,vaccine [52] help,protect [51] people,obeying [51] obeying,authority [51] authority,mindlessly [51] mindlessly,rights [51] rights,think [51] think,time [51] time,sharav [51] sharav,memories Top Word Pairs in Tweet in G7:
[584] état,urgence [584] le,gouvernement [584] gouvernement,ne [584] ne,peut [535] flash,état [535] urgence,prend [535] prend,officiellement [535] officiellement,fin [535] fin,ce [535] ce,1er Top Word Pairs in Tweet in G8:
[111] #covid19,#monkeypox [91] #hiv,#covid19 [87] access,life [87] life,saving [87] saving,prevention [87] prevention,tools [87] tools,testing [87] testing,treatment [87] treatment,#hiv [87] #monkeypox,relies Top Word Pairs in Tweet in G9:
[140] fact,criminals [140] criminals,empowered [140] empowered,gop [140] gop,foxnews [140] foxnews,set [140] set,tone [140] tone,national [140] national,discourse [140] discourse,grappled [140] grappled,issues Top Word Pairs in Tweet in G10:
[462] overlijden,aan [233] zo,groot [233] aan,#covid19 [231] cijfers,#vaccinatiedoden [231] #vaccinatiedoden,bekend [231] bekend,kans [231] kans,op [231] op,overlijden [231] aan,#vaccinatie [231] #vaccinatie,42x Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
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Top Mentioned in G4:
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Top Mentioned in G8:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: