The graph represents a network of 6,042 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 Monday, 23 May 2022 at 09:42 UTC.
The requested start date was Monday, 23 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, 45-minute period from Wednesday, 18 May 2022 at 10:41 UTC to Sunday, 22 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 : 6042
Unique Edges : 5813
Edges With Duplicates : 13898
Total Edges : 19711
Number of Edge Types : 5
Retweet : 4204
MentionsInRetweet : 7327
Replies to : 2595
Mentions : 4790
Tweet : 795
Self-Loops : 833
Reciprocated Vertex Pair Ratio : 0.0439169139465875
Reciprocated Edge Ratio : 0.084138715179079
Connected Components : 543
Single-Vertex Connected Components : 205
Maximum Vertices in a Connected Component : 4016
Maximum Edges in a Connected Component : 15939
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.485908
Graph Density : 0.000289152887246648
Modularity : 0.407606
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,042 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 Monday, 23 May 2022 at 09:42 UTC.
The requested start date was Monday, 23 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, 45-minute period from Wednesday, 18 May 2022 at 10:41 UTC to Sunday, 22 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:
[871] covid,19 [864] 19,vaccination [860] chadox1,ncov [851] ncov,19 [660] severe,pemphigus [660] pemphigus,vulgaris [660] vulgaris,following [659] development,severe [651] review,literature [648] vaccination,review Top Word Pairs in Tweet in G1:
[60] ils,sont [60] chriscottonstat,_2019_ncov [57] ah,ah [51] effets,secondaires [45] ils,ont [45] cporteu,_2019_ncov [44] _2019_ncov,c'est [41] _2019_ncov,narashi13876794 [35] liste,effets [34] variole,singe Top Word Pairs in Tweet in G2:
[218] chriscottonstat,_2019_ncov [182] _2019_ncov,4eme [182] 4eme,zona [182] zona,mes [182] mes,amies [182] amies,suite [182] suite,dose [177] yvespdb,_2019_ncov [145] petite,fille [144] _2019_ncov,malade Top Word Pairs in Tweet in G3:
[628] chadox1,ncov [628] ncov,19 [607] development,severe [607] severe,pemphigus [607] pemphigus,vulgaris [607] vulgaris,following [607] following,#astrazeneca [607] #astrazeneca,chadox1 [607] review,literature [605] 19,vaccination Top Word Pairs in Tweet in G4:
[98] getting,seriously [96] seriously,sick [73] covid,19 [57] getting,vaccinated [55] vaccinated,best [55] best,way [55] way,avoid [55] avoid,getting [55] sick,dying [55] dying,#covid19 Top Word Pairs in Tweet in G5:
[5] jillkeene20,9898guitar [5] 9898guitar,claireh37444648 [4] alex_on_a14,isthisnetaken [4] isthisnetaken,malo_j [4] malo_j,tryingmypatient [4] diar380,realshocks [4] realshocks,kath2cats [4] kath2cats,756elizabeth [4] 756elizabeth,skepticalprune [4] skepticalprune,shocktraumanp Top Word Pairs in Tweet in G6:
[409] covid,19 [216] 19,vaccination [204] cdc,recommends [204] recommends,everyone [204] everyone,test [204] test,covid [204] 19,prior [204] prior,domestic [204] domestic,travel [204] travel,including Top Word Pairs in Tweet in G7:
[125] covid,19 [27] ncov,19 [26] chadox1,ncov [21] 19,vaccine [17] 2022,05 [15] 2019,ncov [14] learn,more [12] scholars,portal [11] 新型コロナウイルス感染症,covid [11] 19,に関する情報 Top Word Pairs in Tweet in G8:
[131] マスクのエビデンスが,という声が一部あるようですので [131] という声が一部あるようですので,参考まで [131] 参考まで,マスク単独で予防できない [131] マスク単独で予防できない,マスク効果なし [131] マスク効果なし,というのも不正確 [131] というのも不正確,複数の対策 [131] 複数の対策,ワクチン [131] ワクチン,換気等々 [131] 換気等々,と組み合わせると [131] と組み合わせると,感染に至る穴を防ぎやすいということ Top Word Pairs in Tweet in G9:
[309] 詳細は,co [309] co,0iqvdzsuud [309] 0iqvdzsuud,検査前で症状がある方 [303] ibaraki_kouhou,#新型コロナウイルス感染症情報 [284] 検査前で症状がある方,検査で陽性と判明した方 [278] 検査で陽性と判明した方,濃厚 [249] うち重症者数,2名 [249] 2名,詳細は [102] 現在の入院者数,63名 [102] 63名,うち重症者数 Top Word Pairs in Tweet in G10:
[59] の広島県内の感染状況,本日の感染者はコチラ [59] information,multiple [59] multiple,languages [59] languages,covid [59] covid,19 [56] の新型コロナウイルス感染症の情報,新規感染者数 [56] 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 [56] 県ホームページの更新は翌日,土日祝日を除く [56] 土日祝日を除く,になります [54] hiroshima_pref,本日 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 G5:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: