The graph represents a network of 7,854 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, 13 January 2022 at 12:00 UTC.
The requested start date was Thursday, 13 January 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, 4-hour, 30-minute period from Monday, 10 January 2022 at 07:56 UTC to Wednesday, 12 January 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 : 7854
Unique Edges : 3423
Edges With Duplicates : 13285
Total Edges : 16708
Number of Edge Types : 5
Retweet : 5801
MentionsInRetweet : 6853
Mentions : 2125
Replies to : 1242
Tweet : 687
Self-Loops : 749
Reciprocated Vertex Pair Ratio : 0.0152254765225477
Reciprocated Edge Ratio : 0.0299942759015455
Connected Components : 698
Single-Vertex Connected Components : 212
Maximum Vertices in a Connected Component : 4949
Maximum Edges in a Connected Component : 12467
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.018224
Graph Density : 0.000141623856052961
Modularity : 0.503291
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,854 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, 13 January 2022 at 12:00 UTC.
The requested start date was Thursday, 13 January 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, 4-hour, 30-minute period from Monday, 10 January 2022 at 07:56 UTC to Wednesday, 12 January 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:
[713] symptom,onset [695] days,symptom [633] peak,days [620] viral,loads [613] study,japan [607] important,study [607] japan,finds [607] finds,omicron [607] omicron,infectious [607] infectious,viral Top Word Pairs in Tweet in G1:
[171] quisuisje13,_2019_ncov [149] _2019_ncov,oups [44] crepin_sylvain,_2019_ncov [37] pandantag,_2019_ncov [35] _2019_ncov,saikonobiwa [31] _2019_ncov,mon [31] magnac3,_2019_ncov [29] _2019_ncov,c'est [29] verocaro18,crepin_sylvain [29] _2019_ncov,suite Top Word Pairs in Tweet in G2:
[570] important,study [570] study,japan [570] japan,finds [570] finds,omicron [570] omicron,infectious [570] infectious,viral [570] viral,loads [570] loads,peak [570] peak,days [570] days,symptom Top Word Pairs in Tweet in G3:
[364] son's,5d [364] 5d,symptoms [364] symptoms,better [364] better,mild [364] mild,sore [364] sore,throat [364] throat,fever [364] fever,binax [364] binax,below [364] below,study Top Word Pairs in Tweet in G4:
[151] #covid19,vaccine [143] booster,shot [138] ages,12 [137] 12,years [137] #covid19,booster [136] #parents,#caregivers [136] #caregivers,kids [136] kids,teens [136] teens,ages [136] years,free Top Word Pairs in Tweet in G5:
[339] การต,ดตามปร [339] ดตามปร,มาณไวร [339] มาณไวร,สรายว [339] สรายว,นของผ [339] นของผ,ต [339] ต,ดเช [339] ดเช,อ [339] อ,omicron [339] omicron,พบว [339] พบว,าปร Top Word Pairs in Tweet in G6:
[250] research,isolation [250] isolation,stop [250] stop,days [250] days,neg [250] neg,rapid [250] rapid,test [250] test,many [250] many,infectious [250] infectious,small [249] michaelmina_lab,research Top Word Pairs in Tweet in G7:
[266] em,dias [265] quem,libertando [265] libertando,isolamento [265] isolamento,dias [265] dias,pare [265] pare,já [265] já,primeiro [265] primeiro,estudo [265] estudo,ômicron [265] ômicron,50 Top Word Pairs in Tweet in G8:
[130] の広島県内の感染状況,本日の感染者はコチラ [130] information,multiple [130] multiple,languages [130] languages,covid [130] covid,19 [128] 本日の感染者はコチラ,co [125] hiroshima_pref,本日 [116] 新型コロナウイルス感染症の情報,新規感染者数 [116] 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 [116] 県ホームページの更新は翌日,土日祝日を除く Top Word Pairs in Tweet in G9:
[107] 방역패스는,사회적 [107] 사회적,거리두기를 [107] 거리두기를,대신하여 [107] 대신하여,유행을 [107] 유행을,통제할 [107] 통제할,수 [107] 수,있는 [107] 있는,중요한 [107] 중요한,방역 [107] 방역,수단입니다 Top Word Pairs in Tweet in G10:
[57] covid,19 [44] 2019,ncov [35] cases,increase [34] ncov,recombinomics [34] recombinomics,inc [33] covid,cases [12] sars,cov [9] chadox1,ncov [9] ncov,19 [9] farmàcies,adherides 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 G6:
Top Replied-To in G9:
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: