The graph represents a network of 8,325 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 Saturday, 12 March 2022 at 10:08 UTC.
The requested start date was Saturday, 12 March 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, 21-minute period from Wednesday, 09 March 2022 at 12:03 UTC to Friday, 11 March 2022 at 12:25 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 : 8325
Unique Edges : 3676
Edges With Duplicates : 11895
Total Edges : 15571
Number of Edge Types : 5
Tweet : 2611
Retweet : 5065
MentionsInRetweet : 5581
Replies to : 462
Mentions : 1852
Self-Loops : 2668
Reciprocated Vertex Pair Ratio : 0.00488786658999425
Reciprocated Edge Ratio : 0.00972818311874106
Connected Components : 2188
Single-Vertex Connected Components : 1048
Maximum Vertices in a Connected Component : 1177
Maximum Edges in a Connected Component : 3339
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 7.354982
Graph Density : 0.000100869730855315
Modularity : 0.503676
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,325 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 Saturday, 12 March 2022 at 10:08 UTC.
The requested start date was Saturday, 12 March 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, 21-minute period from Wednesday, 09 March 2022 at 12:03 UTC to Friday, 11 March 2022 at 12:25 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:
[620] covid,19 [559] mediavenir,flash [517] flash,#covid19 [517] #covid19,désormais [517] désormais,moins [517] moins,mortelle [517] mortelle,grippe [517] grippe,#royaumeuni [517] taux,létalité [515] létalité,035 Top Word Pairs in Tweet in G1:
[141] covid,19 [37] #coronavirus,#covid19 [29] coronavirus,pandemic [27] #covid19,#coronavirus [22] coronavirus,cases [20] coronavirus,murciélagos [19] two,years [17] hong,kong [16] 100,000 [16] casos,coronavirus Top Word Pairs in Tweet in G2:
[555] mediavenir,flash [508] flash,#covid19 [508] #covid19,désormais [508] désormais,moins [508] moins,mortelle [508] mortelle,grippe [508] grippe,#royaumeuni [508] #royaumeuni,taux [508] taux,létalité [508] létalité,035 Top Word Pairs in Tweet in G3:
[180] urgente,coronavirus [178] alertanews24,urgente [171] coronavirus,nueve [171] nueve,millones [171] millones,habitantes [171] habitantes,ciudad [171] ciudad,changchun [171] changchun,noreste [171] noreste,china [171] china,fueron Top Word Pairs in Tweet in G4:
[155] based,documents [155] documents,received [155] received,ukrainian [155] ukrainian,employees [155] employees,russian [155] russian,modd [155] modd,states [155] states,research [155] research,samples [147] realpepeescobar,biowarfare Top Word Pairs in Tweet in G5:
[23] keine,einschränkungen [23] einschränkungen,mehr [23] mehr,alltag [23] alltag,#inzidenz [23] #inzidenz,gt [23] gt,1300 [23] 1300,220 [23] 220,toten [23] toten,tag [23] tag,neuen Top Word Pairs in Tweet in G6:
[397] #バヒエコロナ禍ライブ反対,#ヒュニンバヒエコロナ禍ライブ反対 [397] #kep1er,#bahiyyih [396] #bahiyyih,#coronavirus [388] #coronavirus,#퀸덤2 [360] #場冷え,#covid_19 [360] #covid_19,#kep1er [357] #ヒュニンバヒエコロナ禍ライブ反対,#バヒエ [354] #バヒエ,#場冷え [313] #퀸덤2,#엠넷 [281] #엠넷,#バヒエ Top Word Pairs in Tweet in G7:
[66] security,council [60] breaking,russians [60] russians,going [60] going,security [60] council,evidence [60] evidence,pentagon [60] pentagon,funded [60] funded,biolabs [60] biolabs,program [54] kylenabecker,breaking Top Word Pairs in Tweet in G8:
[48] minister,verbänden [48] verbänden,stündige [48] stündige,frist [48] frist,stellungsnahme [48] stellungsnahme,neuen [48] neuen,ifsg [48] ifsg,eingeräumt [48] eingeräumt,uhr [48] uhr,nachts [47] frankfurtzack,minister Top Word Pairs in Tweet in G9:
[56] millones,habitantes [51] confina,ciudad [49] covid,19 [48] vive,peor [48] peor,brote [48] brote,coronavirus [48] ciudad,millones [47] china,vive [47] coronavirus,confina [46] elmundoes,china Top Word Pairs in Tweet in G10:
[51] bat,coronavirus [50] russian,defense [50] defense,ministry [33] bio,labs [29] labs,ukraine [29] labs,#ukraine [28] funded,biological [27] ministry,announced [27] biological,labs [26] funded,bio Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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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 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 G10: