The graph represents a network of 10,653 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 Monday, 19 September 2022 at 08:42 UTC.
The requested start date was Monday, 19 September 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, 5-minute period from Wednesday, 14 September 2022 at 12:14 UTC to Friday, 16 September 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 : 10653
Unique Edges : 6284
Edges With Duplicates : 11666
Total Edges : 17950
Number of Edge Types : 5
Retweet : 5319
MentionsInRetweet : 6369
Tweet : 2545
Mentions : 2410
Replies to : 1307
Self-Loops : 2577
Reciprocated Vertex Pair Ratio : 0.00507077963236848
Reciprocated Edge Ratio : 0.010090393104898
Connected Components : 2571
Single-Vertex Connected Components : 735
Maximum Vertices in a Connected Component : 3104
Maximum Edges in a Connected Component : 6892
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 12.030498
Graph Density : 8.38416974283035E-05
Modularity : 0.577747
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10,653 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 Monday, 19 September 2022 at 08:42 UTC.
The requested start date was Monday, 19 September 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, 5-minute period from Wednesday, 14 September 2022 at 12:14 UTC to Friday, 16 September 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:
[1787] covid,19 [401] long,covid [215] manuelrico,hoy [205] covid,vaccine [173] contra,covid [160] under,50 [157] días,gobierno [150] 19,vaccine [150] gobierno,ayuso [150] ayuso,aprobó Top Word Pairs in Tweet in G1:
[236] covid,19 [29] 19,vaccine [28] leggi,più [28] più,#casaitaliaradio [28] #radio,#casa [28] #casa,#home [28] #home,#design [28] #design,#politica [28] #politica,#interiordesign [28] #interiordesign,#covid Top Word Pairs in Tweet in G2:
[58] long,covid [40] covid,19 [17] opportunity,reconnect [17] reconnect,last [17] last,evening [17] evening,colleague [17] colleague,runs [17] runs,long [17] covid,clinic [17] clinic,busy Top Word Pairs in Tweet in G3:
[32] lors,1ère [32] 1ère,réunion [32] réunion,conseil [32] conseil,scientifique [32] scientifique,pr [32] pr,raoult [32] raoult,était [32] était,présent [32] présent,macron [32] macron,entré Top Word Pairs in Tweet in G4:
[65] long,covid [39] covid,19 [23] meetjess,one [21] one,first [21] first,lies [21] lies,public [21] public,led [21] led,believe [21] believe,covid [21] covid,didn Top Word Pairs in Tweet in G5:
[23] forced,ventilators [23] ventilators,died [22] 88,those [22] those,forced [22] died,people [22] people,fathers [22] fathers,mothers [22] mothers,grandfathers [22] grandfathers,far [22] far,younger Top Word Pairs in Tweet in G6:
[215] manuelrico,hoy [150] días,gobierno [150] gobierno,ayuso [150] ayuso,aprobó [150] aprobó,protocolo [150] protocolo,impedía [150] impedía,trasladar [150] trasladar,hospital [150] hospital,residentes [134] residentes,vulnerab Top Word Pairs in Tweet in G7:
[18] long,covid [14] covid,19 [14] remember,awful [14] awful,last [14] last,summer [14] summer,summer [14] summer,omicron [14] omicron,covid [14] covid,variant [14] variant,emerges Top Word Pairs in Tweet in G8:
[6] ianbrow06641140,vikilovesfacs [6] vikilovesfacs,mainsmains3 [4] leonchi85271604,ianbrow06641140 [2] jess89720553,doritmi [2] doritmi,lefthandedkeith [2] lefthandedkeith,realise [2] realise,study [2] study,ran [2] ran,1985 [2] 1985,2015 Top Word Pairs in Tweet in G9:
[12] biometrics,legislation [12] legislation,being [12] being,adopted [12] adopted,globally [12] globally,strips [12] strips,privacy [12] privacy,self [12] self,determination [12] determination,covid [12] covid,fear Top Word Pairs in Tweet in G10:
[90] vaccine,narrative [90] narrative,collapses [90] collapses,harvard [90] harvard,study [90] study,shows [90] shows,jab [90] jab,more [90] more,dangerous [90] dangerous,covid [89] janehughesmd,vaccine Top Replied-To in Entire Graph:
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 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:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: