The graph represents a network of 6,249 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 18 May 2022 at 08:55 UTC.
The requested start date was Wednesday, 18 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 4-day, 3-hour, 42-minute period from Friday, 13 May 2022 at 08:44 UTC to Tuesday, 17 May 2022 at 12:27 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 : 6249
Unique Edges : 5051
Edges With Duplicates : 14104
Total Edges : 19155
Number of Edge Types : 5
Tweet : 660
Retweet : 4917
MentionsInRetweet : 8072
Replies to : 2099
Mentions : 3407
Self-Loops : 710
Reciprocated Vertex Pair Ratio : 0.0372489959839357
Reciprocated Edge Ratio : 0.0718226696350789
Connected Components : 425
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 3154
Maximum Edges in a Connected Component : 13037
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.423862
Graph Density : 0.000264600594737924
Modularity : 0.435776
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,249 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 18 May 2022 at 08:55 UTC.
The requested start date was Wednesday, 18 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 4-day, 3-hour, 42-minute period from Friday, 13 May 2022 at 08:44 UTC to Tuesday, 17 May 2022 at 12:27 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 : NCoV
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:
[1157] ワクチンをうって何千人の人が亡くなったなどとデマが流されています,米国cdcは [1157] 米国cdcは,5億7900万回のワクチン接種が行われ [1157] 5億7900万回のワクチン接種が行われ,死亡例に関係しているのは [1157] 死亡例に関係しているのは,janssenの9例だったと説明しています [1157] janssenの9例だったと説明しています,ワクチンは安全で [1157] ワクチンは安全で,有効です [1156] konotarogomame,ワクチンをうって何千人の人が亡くなったなどとデマが流されています [1156] 有効です,ワクチンの利 [820] adverse,events [743] events,following Top Word Pairs in Tweet in G1:
[1156] ワクチンをうって何千人の人が亡くなったなどとデマが流されています,米国cdcは [1156] 米国cdcは,5億7900万回のワクチン接種が行われ [1156] 5億7900万回のワクチン接種が行われ,死亡例に関係しているのは [1156] 死亡例に関係しているのは,janssenの9例だったと説明しています [1156] janssenの9例だったと説明しています,ワクチンは安全で [1156] ワクチンは安全で,有効です [1155] konotarogomame,ワクチンをうって何千人の人が亡くなったなどとデマが流されています [1155] 有効です,ワクチンの利 [4] コロナワクチン接種4回目の申請受付開始,基礎疾患等 [4] 基礎疾患等,4回目接種を希望する18歳以上60歳未満で Top Word Pairs in Tweet in G2:
[87] benoitm_mtl,_2019_ncov [84] _2019_ncov,ces [81] ont,compris [79] 3e,guerre [79] guerre,mondiale [78] ces,italiens [78] italiens,ont [78] compris,leur [78] leur,gouvernement [78] gouvernement,poussait Top Word Pairs in Tweet in G3:
[803] adverse,events [731] ontario,quietly [731] quietly,dropped [731] dropped,adverse [731] events,following [731] following,immunization [731] immunization,aefi [731] aefi,report [731] report,reports [731] reports,met Top Word Pairs in Tweet in G4:
[57] _2019_ncov,dpolianski [53] asphixias,_2019_ncov [53] dpolianski,titré [53] titré,français [53] français,vidéo [53] vidéo,2min [23] ici,trois [23] trois,cas [23] cas,répondant [23] répondant,aux Top Word Pairs in Tweet in G5:
[48] covid,19 [43] years,older [43] admitted,know [43] know,found [43] found,twitter [43] twitter,considered [43] considered,medically [43] medically,high [43] high,risk [42] kristinrawls,admitted Top Word Pairs in Tweet in G6:
[343] 詳細は,co [338] ibaraki_kouhou,#新型コロナウイルス感染症情報 [306] co,0iqvdzsuud [306] 0iqvdzsuud,検査前で症状がある方 [272] うち重症者数,2名 [203] 2名,本日の死亡者数 [200] 検査前で症状がある方,検査で [152] 2名,詳細は [143] 検査前で症状がある方,検査で陽性と判明した方 [138] 検査で陽性と判明した方,濃厚 Top Word Pairs in Tweet in G7:
[7] jillkeene20,9898guitar [7] 9898guitar,claireh37444648 [7] going,note [7] note,counties [7] counties,zero [7] zero,covid [7] covid,hospitalizations [7] hospitalizations,rural [7] rural,counties [6] arrianna_planey,going Top Word Pairs in Tweet in G8:
[83] diogene_2020,_2019_ncov [82] zyrs10,diogene_2020 [82] _2019_ncov,enmodemacaron [82] enmodemacaron,el_dic_tator [82] el_dic_tator,rasekrasek [77] comment,prendre [77] prendre,gens [77] gens,imbéciles [77] imbéciles,zyrs10 [76] louan07,comment Top Word Pairs in Tweet in G9:
[77] covid,19 [16] döda,har [16] har,tillfrisknat [14] 2022,05 [12] public,transportation [12] scholars,portal [11] 2019,ncov [10] chadox1,ncov [10] transportation,settings [9] wearing,masks Top Word Pairs in Tweet in G10:
[83] forget,people [83] people,underlying [83] underlying,medical [83] medical,conditions [83] conditions,need [83] need,2nd [83] 2nd,booster [83] booster,list [82] socialistdogmom,forget [82] list,cond 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 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: