The graph represents a network of 8,839 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, 16 September 2021 at 10:55 UTC.
The requested start date was Thursday, 16 September 2021 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, 15-hour, 29-minute period from Sunday, 12 September 2021 at 20:58 UTC to Wednesday, 15 September 2021 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 : 8839
Unique Edges : 5021
Edges With Duplicates : 15073
Total Edges : 20094
Number of Edge Types : 5
Replies to : 1094
Mentions : 4463
Retweet : 5754
MentionsInRetweet : 7958
Tweet : 825
Self-Loops : 860
Reciprocated Vertex Pair Ratio : 0.00788373860182371
Reciprocated Edge Ratio : 0.015644142870606
Connected Components : 872
Single-Vertex Connected Components : 253
Maximum Vertices in a Connected Component : 4570
Maximum Edges in a Connected Component : 13002
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.577786
Graph Density : 0.000135831089259344
Modularity : 0.504174
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,839 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, 16 September 2021 at 10:55 UTC.
The requested start date was Thursday, 16 September 2021 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, 15-hour, 29-minute period from Sunday, 12 September 2021 at 20:58 UTC to Wednesday, 15 September 2021 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:
[893] vaccine,changes [892] changes,rna [891] someone,stand [891] stand,behind [891] behind,seal [891] seal,florida [891] florida,vaccine [890] govrondesantis,someone [889] moments,ago [889] ago,govrondesantis Top Word Pairs in Tweet in G1:
[875] someone,stand [875] stand,behind [875] behind,seal [875] seal,florida [875] florida,vaccine [875] vaccine,changes [875] changes,rna [874] govrondesantis,someone [873] moments,ago [873] ago,govrondesantis Top Word Pairs in Tweet in G2:
[687] against,#covid19 [682] vaccinated,against [585] cdcgov,fact [555] trying,pregnant [555] pregnant,future [554] fact,vaccinated [554] #covid19,re [554] re,trying [554] future,evidence [554] evidence,date Top Word Pairs in Tweet in G3:
[46] strategieduchoc,mammiebocockiq [46] mammiebocockiq,cab2626 [36] cab2626,divizio1 [34] zyrs10,nuxbsd [34] nuxbsd,maya29854628 [34] maya29854628,strategieduchoc [33] gino_2019_ncov,zyrs10 [32] reinfocovid,reinfocovidoff [31] divizio1,rendezmomotchi [29] lrestistant73,laissonslespre1 Top Word Pairs in Tweet in G4:
[146] 接種日は,10月9日 [122] covid19times_pr,練馬区 [117] nerima_tokyo,住民接種担当課です [104] 住民接種担当課です,追加でモデルナ社製のワクチンを確保したため [104] 追加でモデルナ社製のワクチンを確保したため,臨時会場を [104] 臨時会場を,練馬区職員研修所 [104] 練馬区職員研修所,に設置し [104] に設置し,接種予約を9月16日 [104] 接種予約を9月16日,木曜 [104] 木曜,午後5時から受け付けます Top Word Pairs in Tweet in G5:
[84] covid,19 [13] 2019,ncov [11] 2021,09 [10] 0시,기준 [9] #보건복지부,#klab [9] #klab,#korea [9] #korea,#covid19korea [9] #covid19korea,#data [9] casos,confirmados [8] 19,vaccination Top Word Pairs in Tweet in G6:
[237] 複数機関でまとめたコロナ孤児の調査報告,衝撃的内容 [237] 衝撃的内容,父か母 [237] 父か母,もしくは祖父母 [237] もしくは祖父母,養育に中心的に関わる [237] 養育に中心的に関わる,を失った子供は [237] を失った子供は,全世界で180万人と推定 [237] 全世界で180万人と推定,父か母または両方を失った子供は [237] 父か母または両方を失った子供は,米国だけで11万6千人以上もいる [237] 米国だけで11万6千人以上もいる,本当に悲しい現実 [236] satoruo,複数機関でまとめたコロナ孤児の調査報告 Top Word Pairs in Tweet in G7:
[217] latest,numbers [217] numbers,myocarditis [217] myocarditis,canada [217] canada,vax [217] vax,highest [217] highest,rate [217] rate,seen [217] seen,men [217] men,18 [217] 18,24 Top Word Pairs in Tweet in G8:
[39] covid,19 [22] genetic,sequencing [19] 19,vaccine [19] mrna,covid [18] myocarditis,pericarditis [18] inflammation,heart [18] heart,mrna [18] vaccine,people [16] pericarditis,following [16] following,vaccination Top Word Pairs in Tweet in G9:
[43] important,#cdc [43] #cdc,update [43] update,yesterday [43] yesterday,improves [43] improves,guidance [43] guidance,mask [43] mask,quality [43] quality,fit [43] fit,recommends [43] recommends,#n95 Top Word Pairs in Tweet in G10:
[318] #新型コロナウイルス,感染症情報 [313] ibaraki_kouhou,#新型コロナウイルス [219] うち重症者数,25名 [219] 25名,詳しくはこちらをご覧ください [115] 感染症情報,9月14日 [115] 9月14日,本日の新規陽性者数 [115] 本日の新規陽性者数,78名 [115] 78名,本日の退院等回復者数 [115] 本日の退院等回復者数,170名 [115] 170名,現在の入院者数 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: