The graph represents a network of 12,257 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 08 January 2022 at 08:39 UTC.
The requested start date was Saturday, 08 January 2022 at 01:01 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, 0-hour, 0-minute period from Wednesday, 05 January 2022 at 12:19 UTC to Friday, 07 January 2022 at 12:19 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 : 12257
Unique Edges : 6790
Edges With Duplicates : 11612
Total Edges : 18402
Number of Edge Types : 5
Retweet : 5446
MentionsInRetweet : 6193
Tweet : 3664
Replies to : 975
Mentions : 2124
Self-Loops : 3705
Reciprocated Vertex Pair Ratio : 0.0028678579307302
Reciprocated Edge Ratio : 0.00571931368235812
Connected Components : 4007
Single-Vertex Connected Components : 1035
Maximum Vertices in a Connected Component : 404
Maximum Edges in a Connected Component : 760
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.969792
Graph Density : 6.05238419736066E-05
Modularity : 0.581309
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,257 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 08 January 2022 at 08:39 UTC.
The requested start date was Saturday, 08 January 2022 at 01:01 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, 0-hour, 0-minute period from Wednesday, 05 January 2022 at 12:19 UTC to Friday, 07 January 2022 at 12:19 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 : COVID
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:
[1767] covid,19 [238] positive,covid [193] covid,cases [171] contra,covid [158] covid,gt [145] tested,positive [133] having,covid [122] ค,ดด [118] shame,having [110] pep,guardiola Top Word Pairs in Tweet in G1:
[198] covid,19 [31] positive,covid [15] #mügeanlı,hakan [15] hakan,ural [15] ural,#kulüp [15] #kulüp,#covid [15] #covid,#yargı [15] #yargı,#kazakistan [15] #kazakistan,askeri [15] askeri,azerbaycan Top Word Pairs in Tweet in G2:
[116] shame,having [116] having,covid [59] highly,contagious [58] hey,shame [58] covid,highly [58] contagious,virus [58] virus,shame [58] covid,telling [57] tionnalashae,hey [57] telling,th Top Word Pairs in Tweet in G3:
[11] long,covid [11] face,masks [8] limerick,difficult [8] difficult,time [8] time,keir_starmer [8] keir_starmer,julia [8] julia,aged [8] aged,53 [8] 53,once [8] once,mp Top Word Pairs in Tweet in G4:
[151] covid,gt [77] suicidio,gt [75] fallecidos,menores [75] menores,50 [75] 50,año [75] año,2020 [75] 2020,29 [75] 29,covid [75] gt,84 [75] 84,suicidio Top Word Pairs in Tweet in G5:
[14] covid,19 [9] jean,castex [9] castex,#nonvaccinés [9] #nonvaccinés,être [9] être,libre [9] libre,ce [9] ce,contaminer [9] contaminer,autres [9] autres,alors [9] alors,juste Top Word Pairs in Tweet in G6:
[10] treatment,asylum [10] asylum,seekers [10] seekers,park [10] park,hotel [10] hotel,national [10] national,disgrace [10] disgrace,detained [10] detained,years [10] years,amid [9] nickmccallum7,treatment Top Word Pairs in Tweet in G7:
[34] covid,19 [9] alex,saab [8] positive,covid [6] covid,case [6] district,attorney [6] vaccine,mandates [6] test,positive [6] casos,covid [5] one,year [5] pfizer,covid Top Word Pairs in Tweet in G8:
[4] yesterday,17 [4] 17,people [4] people,died [4] died,covid [4] covid,nsw [4] nsw,vic [4] vic,today [4] today,pm [4] pm,cricket [4] cricket,celebrating Top Word Pairs in Tweet in G9:
[27] regardant,ce [27] ce,type [27] type,vidéo [27] vidéo,datant [27] datant,2012 [27] 2012,qu [27] qu,comprend [27] comprend,qu [27] qu,vraiment [27] vraiment,basculé Top Word Pairs in Tweet in G10:
[4] covid,positive [4] positive,college [3] covid,protocol [3] hai,covid [3] स,ट [3] रह,ह [3] share,information [3] information,students [3] students,#covid_19 [3] #covid_19,positive Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: