The graph represents a network of 4,601 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, 23 November 2022 at 09:49 UTC.
The requested start date was Wednesday, 23 November 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, 15-hour, 8-minute period from Saturday, 19 November 2022 at 21:19 UTC to Tuesday, 22 November 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 : 4601
Unique Edges : 3248
Edges With Duplicates : 9944
Total Edges : 13192
Number of Edge Types : 5
Replies to : 1991
Mentions : 3358
Retweet : 3210
MentionsInRetweet : 4252
Tweet : 381
Self-Loops : 409
Reciprocated Vertex Pair Ratio : 0.0406805877803558
Reciprocated Edge Ratio : 0.0781807372175981
Connected Components : 252
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 3432
Maximum Edges in a Connected Component : 10976
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.620327
Graph Density : 0.000317889305727488
Modularity : 0.421267
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,601 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, 23 November 2022 at 09:49 UTC.
The requested start date was Wednesday, 23 November 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, 15-hour, 8-minute period from Saturday, 19 November 2022 at 21:19 UTC to Tuesday, 22 November 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:
[1008] estudos,relacionando [1008] outras,revistas [1008] tentativa,#suicídio [1008] revistas,científicas [1008] científicas,publicaram [1008] ideação,suicida [1008] publicaram,estudos [1008] oms,outras [1008] suicida,tentativa [1008] #suicídio,vacina Top Word Pairs in Tweet in G1:
[1007] estudos,relacionando [1007] outras,revistas [1007] científicas,publicaram [1007] relacionando,ideação [1007] revistas,científicas [1007] oms,outras [1007] publicaram,estudos [1007] suicida,tentativa [1007] tentativa,#suicídio [1007] #suicídio,vacina Top Word Pairs in Tweet in G2:
[112] _2019_ncov,frcsbraun [63] frcsbraun,sante_gouv [46] ah,ah [34] beachmilk2,spa_officiel [26] brunolemaire,gabrielattal [25] ils,sont [22] ils,ont [21] _2019_ncov,ça [21] _2019_ncov,c'est [20] twittdeflo,_2019_ncov Top Word Pairs in Tweet in G3:
[189] dying,covid [189] released,eye [189] gives,clearer [189] eye,opening [189] cdc,released [189] covid,age [189] technical,report [189] report,gives [189] clearer,picture [189] opening,technical Top Word Pairs in Tweet in G4:
[39] tuckercarlson,robertkennedyjr [39] robertkennedyjr,cristianterhes [35] caudehenrion,crashdebug_fr [34] crashdebug_fr,gaelianprincess [34] gaelianprincess,tuckercarlson [25] alainsebil,caudehenrion [24] cristianterhes,solobucketpo [18] sitting_bull_d,alainsebil [14] _2019_ncov,veritediffusee [14] solobucketpond,niusmarco Top Word Pairs in Tweet in G5:
[103] cdc,describe [103] describe,500 [103] week,during [103] both,heartbreaking [103] 500,000 [103] heartbreaking,maddening [103] during,omicron [103] deaths,week [103] covid,deaths [103] see,cdc Top Word Pairs in Tweet in G6:
[56] beachmilk2,spa_officiel [47] _2019_ncov,beachmilk2 [10] _2019_ncov,strategieduchoc [8] niusmarco,_2019_ncov [5] sohesun,_2019_ncov [5] spa_officiel,c'est [5] _2019_ncov,c'est [4] _2019_ncov,zoomzebre [3] magnum_747,_2019_ncov [3] qu,ils Top Word Pairs in Tweet in G7:
[43] protect,yourself [41] bivalent,#covid19 [41] updated,bivalent [39] #covid19,booster [39] friends,family [39] family,indoors [37] together,days [37] cdcgov,more [37] days,friends [37] getting,together Top Word Pairs in Tweet in G8:
[49] の新型コロナウイルス感染症の情報,新規感染者数 [49] 県ホームページの更新は翌日,土日祝日を除く [49] 土日祝日を除く,になります [49] 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 [48] 12,木 [36] 土に加え,水曜日も運営し [36] 接種予約が堅調なことから,県営の集団接種会場において12月は火 [36] 県営の集団接種会場において12月は火,金 [36] おはようございます,接種予約が堅調なことから [36] 水曜日も運営し,週4日実施とします Top Word Pairs in Tweet in G9:
[6] more,40 [6] covid,vaccines [6] 40,000 [6] women,shown [6] 000,women [5] shown,covid [4] death,rate [3] vaccines,safe [3] statsguyuk,curfewx [3] safety,problem Top Word Pairs in Tweet in G10:
[38] covid,19 [23] 2019,ncov [19] covid,cases [19] ncov,recombinomics [19] recombinomics,inc [19] cases,increase [14] ncov,19 [13] chadox1,ncov [11] 2022,11 [9] updated,visit Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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: