The graph represents a network of 11,513 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, 14 May 2022 at 07:33 UTC.
The requested start date was Saturday, 14 May 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, 0-hour, 3-minute period from Wednesday, 11 May 2022 at 12:16 UTC to Friday, 13 May 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 : 11513
Unique Edges : 6856
Edges With Duplicates : 11421
Total Edges : 18277
Number of Edge Types : 5
Retweet : 5142
MentionsInRetweet : 6209
Tweet : 3081
Mentions : 2610
Replies to : 1235
Self-Loops : 3121
Reciprocated Vertex Pair Ratio : 0.0059855087682453
Reciprocated Edge Ratio : 0.0118997912317328
Connected Components : 3240
Single-Vertex Connected Components : 998
Maximum Vertices in a Connected Component : 2137
Maximum Edges in a Connected Component : 4383
Maximum Geodesic Distance (Diameter) : 41
Average Geodesic Distance : 14.405733
Graph Density : 7.22813447070469E-05
Modularity : 0.588858
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,513 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, 14 May 2022 at 07:33 UTC.
The requested start date was Saturday, 14 May 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, 0-hour, 3-minute period from Wednesday, 11 May 2022 at 12:16 UTC to Friday, 13 May 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:
[1850] covid,19 [202] long,covid [141] manuelrico,hoy [136] united,states [129] during,covid [129] north,korea [129] covid,deaths [110] días,gobierno [110] gobierno,ayuso [110] ayuso,aprobó Top Word Pairs in Tweet in G1:
[300] covid,19 [30] north,korea [23] pandemi,covid [17] puan,maharani [16] contra,covid [16] covid,vaccine [15] covid,test [14] casos,covid [14] covid,deaths [13] long,covid Top Word Pairs in Tweet in G2:
[45] covid,19 [32] श,म [18] due,covid [17] ह,गए [17] ड,ल [17] ल,ह [17] म,द [17] न,र [17] ब,ज [16] द,श Top Word Pairs in Tweet in G3:
[19] tested,positive [17] wearing,masks [16] dorks,entire [16] entire,hollywood [16] hollywood,bowl [16] bowl,wearing [16] wearing,kn95s [16] kn95s,saturday [16] saturday,person [16] person,group Top Word Pairs in Tweet in G4:
[4] covid,19 [4] accepted,models [4] models,failed [4] failed,account [4] account,economic [4] economic,health [4] health,harms [4] harms,covid [4] covid,lockdowns [4] lockdowns,caused Top Word Pairs in Tweet in G5:
[13] fact,cdc [13] cdc,continues [13] continues,propagate [13] propagate,green [13] green,bullshit [13] bullshit,tells [13] tells,ve [13] ve,made [13] made,decision [13] decision,hide Top Word Pairs in Tweet in G6:
[18] covid,19 [14] vaccins,covid [12] nouvelle,étude [12] étude,vaccins [12] covid,augmentent [12] augmentent,25 [12] 25,risque [12] risque,arrêt [12] arrêt,cardiaque [12] cardiaque,chez Top Word Pairs in Tweet in G7:
[68] last,night [68] night,joined [68] joined,members [68] members,congress [68] congress,steps [68] steps,united [68] united,states [68] states,capitol [68] capitol,hold [68] hold,moment Top Word Pairs in Tweet in G8:
[141] manuelrico,hoy [110] días,gobierno [110] gobierno,ayuso [110] ayuso,aprobó [110] aprobó,protocolo [110] protocolo,impedía [110] impedía,trasladar [110] trasladar,hospital [109] hospital,residentes [102] residentes,vulnerab Top Word Pairs in Tweet in G9:
[19] shots,later [19] later,gates [19] gates,hotez [19] hotez,finally [19] finally,getting [19] getting,covid [19] covid,immune [19] immune,systems [19] systems,weakened [19] weakened,bodies Top Word Pairs in Tweet in G10:
[57] junior,staff [28] staff,told [28] told,pm's [28] pm's,pps [28] pps,coordinating [28] coordinating,covid [28] covid,taskforce [28] taskforce,ensure [28] ensure,no10 [28] no10,events Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: