The graph represents a network of 5,959 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 Thursday, 19 May 2022 at 10:40 UTC.
The requested start date was Thursday, 19 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, 1-hour, 50-minute period from Saturday, 14 May 2022 at 10:36 UTC to Wednesday, 18 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 : 5959
Unique Edges : 5737
Edges With Duplicates : 13812
Total Edges : 19549
Number of Edge Types : 5
Retweet : 4302
MentionsInRetweet : 7673
Replies to : 2575
Mentions : 4228
Tweet : 771
Self-Loops : 817
Reciprocated Vertex Pair Ratio : 0.0445549477871706
Reciprocated Edge Ratio : 0.0853089593449491
Connected Components : 497
Single-Vertex Connected Components : 178
Maximum Vertices in a Connected Component : 3891
Maximum Edges in a Connected Component : 15780
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.008872
Graph Density : 0.000295828138807531
Modularity : 0.427074
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,959 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 Thursday, 19 May 2022 at 10:40 UTC.
The requested start date was Thursday, 19 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, 1-hour, 50-minute period from Saturday, 14 May 2022 at 10:36 UTC to Wednesday, 18 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:
[659] adverse,events [602] events,following [602] following,immunization [601] ontario,quietly [601] quietly,dropped [601] dropped,adverse [601] immunization,aefi [601] aefi,report [601] report,reports [601] reports,met Top Word Pairs in Tweet in G1:
[84] _2019_ncov,ces [84] benoitm_mtl,_2019_ncov [78] ont,compris [77] guerre,mondiale [76] toute,l'europe [76] 3e,guerre [75] ces,italiens [75] italiens,ont [75] compris,leur [75] leur,gouvernement Top Word Pairs in Tweet in G2:
[645] adverse,events [593] ontario,quietly [593] quietly,dropped [593] dropped,adverse [593] events,following [593] following,immunization [593] immunization,aefi [593] aefi,report [593] report,reports [593] reports,met Top Word Pairs in Tweet in G3:
[339] 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 [339] 米国cdcは,5億7900万回のワクチン接種が行われ [339] 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 [339] 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 [339] janssenの9例だったと説明しています,ワクチンは安全で [339] ワクチンは安全で,有効です [338] 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 [338] 有効です,ワクチンの利 [57] の新型コロナウイルス感染症の情報,新規感染者数 [57] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日 Top Word Pairs in Tweet in G4:
[93] diogene_2020,_2019_ncov [92] zyrs10,diogene_2020 [92] _2019_ncov,enmodemacaron [92] enmodemacaron,el_dic_tator [92] el_dic_tator,rasekrasek [83] comment,prendre [83] prendre,gens [83] gens,imbéciles [83] imbéciles,zyrs10 [82] louan07,comment Top Word Pairs in Tweet in G5:
[85] covid,19 [38] years,older [35] very,sick [34] #covid19,make [34] make,children [34] children,very [34] sick,resulting [34] resulting,hospitalization [34] hospitalization,intensive [34] intensive,care Top Word Pairs in Tweet in G6:
[96] covid,19 [18] 2022,05 [16] scholars,portal [12] public,transportation [12] döda,har [12] har,tillfrisknat [10] transportation,settings [10] #korea,#publicdata [10] #publicdata,#medicaldata [10] #medicaldata,#공공데이터 Top Word Pairs in Tweet in G7:
[9] jillkeene20,9898guitar [9] 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:
[64] _2019_ncov,titiserres2 [33] _lice40,_2019_ncov [32] unifred6,bag_ofsp_ufsp [32] bag_ofsp_ufsp,fedpolch [31] deborah756522,_2019_ncov [30] _2019_ncov,unifred6 [27] solarcx69,_2019_ncov [24] pirouette15,solarcx69 [18] dadadidi42,pirouette15 [18] fedpolch,autour Top Word Pairs in Tweet in G9:
[324] 詳細は,co [324] co,0iqvdzsuud [324] 0iqvdzsuud,検査前で症状がある方 [319] ibaraki_kouhou,#新型コロナウイルス感染症情報 [255] うち重症者数,2名 [230] 2名,詳細は [153] 検査前で症状がある方,検査で陽性と判明した方 [148] 検査で陽性と判明した方,濃厚 [106] 2名,本日の死亡者数 [104] 検査前で症状がある方,検査で Top Word Pairs in Tweet in G10:
[121] forget,people [121] people,underlying [121] underlying,medical [121] medical,conditions [121] conditions,need [121] need,2nd [121] 2nd,booster [121] booster,list [120] socialistdogmom,forget [120] list,cond Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: