The graph represents a network of 7,661 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 Sunday, 14 November 2021 at 10:28 UTC.
The requested start date was Sunday, 14 November 2021 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 3-day, 4-hour, 22-minute period from Tuesday, 09 November 2021 at 08:05 UTC to Friday, 12 November 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 : 7661
Unique Edges : 5508
Edges With Duplicates : 12741
Total Edges : 18249
Number of Edge Types : 5
Tweet : 1114
Mentions : 4405
Retweet : 4387
MentionsInRetweet : 6240
Replies to : 2103
Self-Loops : 1159
Reciprocated Vertex Pair Ratio : 0.0269586267605634
Reciprocated Edge Ratio : 0.0525018750669667
Connected Components : 1012
Single-Vertex Connected Components : 287
Maximum Vertices in a Connected Component : 3674
Maximum Edges in a Connected Component : 12811
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.929679
Graph Density : 0.00015904024418548
Modularity : 0.477555
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,661 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 Sunday, 14 November 2021 at 10:28 UTC.
The requested start date was Sunday, 14 November 2021 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 3-day, 4-hour, 22-minute period from Tuesday, 09 November 2021 at 08:05 UTC to Friday, 12 November 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:
[707] covid,19 [402] #新型コロナウイルス,感染症情報 [396] ibaraki_kouhou,#新型コロナウイルス [328] vaccinated,against [328] #covid19,vaccine [317] against,#covid19 [316] うち重症者数,0名 [316] 0名,詳しくはこちらをご覧ください [251] ask,doctor [245] re,due Top Word Pairs in Tweet in G1:
[175] gino_2019_ncov,jaimehorta17 [161] fc,barcelone [107] el_dic_tator,gino_2019_ncov [95] jaimehorta17,peterbobbaze [93] ramucho67,el_dic_tator [82] médias,n'arrivent [82] n'arrivent,cacher [82] cacher,dégâts [82] dégâts,puisque [82] puisque,c'est Top Word Pairs in Tweet in G2:
[304] vaccinated,against [301] against,#covid19 [259] #covid19,vaccine [237] re,due [237] due,mammogram [237] mammogram,recently [237] recently,vaccinated [237] #covid19,ask [237] ask,doctor [237] doctor,long Top Word Pairs in Tweet in G3:
[137] covid,19 [36] 19,vaccine [29] learn,more [29] ncov,19 [28] chadox1,ncov [27] 2019,ncov [21] sars,cov [19] 19,vaccines [16] 2021,11 [13] fully,vaccinated Top Word Pairs in Tweet in G4:
[2] savoir,êtes [2] êtes,éligible [2] éligible,très [2] très,rares [2] rares,exceptions [2] exceptions,co [2] co,wi2fzovlll [2] voyageurs,nationalité [2] nationalité,étrangère [2] étrangère,destination Top Word Pairs in Tweet in G5:
[396] #新型コロナウイルス,感染症情報 [391] ibaraki_kouhou,#新型コロナウイルス [312] うち重症者数,0名 [312] 0名,詳しくはこちらをご覧ください [210] 本日の退院等回復者数,2名 [210] 2名,現在の入院者数 [206] 本日の新規陽性者数,3名 [106] 感染症情報,11月9日 [106] 11月9日,本日の新規陽性者数 [106] 本日の新規陽性者数,2名 Top Word Pairs in Tweet in G6:
[124] 数週間後の重症者数や病床使用率などが推計できる,予測ツール [124] 予測ツール,を用いて [124] を用いて,都道府県ごとに判断 [124] 都道府県ごとに判断,この [124] この,予測ツール [124] 予測ツール,どうもこれのようです [123] curioshiki,数週間後の重症者数や病床使用率などが推計できる [123] どうもこれのようです,なんとexc [16] 新型コロナワクチンの有効性を検討した症例対照研究の暫定報告,第二報 [16] 第二報,が公表されました Top Word Pairs in Tweet in G7:
[2] covid,vaccines [2] covid,19 Top Word Pairs in Tweet in G8:
[89] 公開されました,新型コロナワクチンの有効性を検討した症例対照研究の暫定報告 [89] 新型コロナワクチンの有効性を検討した症例対照研究の暫定報告,第二報 [89] 第二報,デルタ株流行期における有効性 [89] デルタ株流行期における有効性,デルタ株が流行の主体となった2021年8月時点で [89] デルタ株が流行の主体となった2021年8月時点で,有効性は2回目接種14日以降で87 [89] 有効性は2回目接種14日以降で87,95 [89] 95,ci [89] ci,79 [89] 79,92 [89] 92,だった Top Word Pairs in Tweet in G9:
[100] sexy,mentally [100] mentally,ill [100] ill,bitches [100] bitches,according [100] according,cdc [100] cdc,qualify [100] qualify,covid [100] covid,booster [100] booster,go [100] go,boosted Top Word Pairs in Tweet in G10:
[14] genetic,sequencing [14] sequencing,used [14] used,identify [14] identify,track [14] track,variants [12] variants,co [12] co,jsdv5ovrpn [8] #covid19,vaccine [7] children,aged [7] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G10:
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: