The graph represents a network of 7,150 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 Friday, 18 February 2022 at 10:18 UTC.
The requested start date was Friday, 18 February 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 3-day, 1-hour, 37-minute period from Monday, 14 February 2022 at 10:49 UTC to Thursday, 17 February 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 : 7150
Unique Edges : 4875
Edges With Duplicates : 11719
Total Edges : 16594
Number of Edge Types : 5
Tweet : 1143
Retweet : 4368
MentionsInRetweet : 5963
Replies to : 2103
Mentions : 3017
Self-Loops : 1193
Reciprocated Vertex Pair Ratio : 0.0293635938231165
Reciprocated Edge Ratio : 0.0570519377201955
Connected Components : 859
Single-Vertex Connected Components : 295
Maximum Vertices in a Connected Component : 4145
Maximum Edges in a Connected Component : 12588
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.699631
Graph Density : 0.000172140071426685
Modularity : 0.499848
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,150 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 Friday, 18 February 2022 at 10:18 UTC.
The requested start date was Friday, 18 February 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 3-day, 1-hour, 37-minute period from Monday, 14 February 2022 at 10:49 UTC to Thursday, 17 February 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:
[961] covid,19 [958] 2019,ncov [627] isolates,2019 [626] quantified,virus [626] virus,isolates [625] ncov,available [625] available,cdc [625] cdc,use [625] use,time [622] document,quantified Top Word Pairs in Tweet in G1:
[57] ah,ah [40] ils,ont [38] levyloiseau,ansm [36] ils,sont [35] _2019_ncov,levyloiseau [34] _2019_ncov,zelenskyyua [32] annette_lexa,_2019_ncov [30] ansm,exact [30] exact,j'en [30] j'en,parle Top Word Pairs in Tweet in G2:
[456] covid,19 [289] right,away [279] test,positive [279] positive,covid [279] 19,risk [279] risk,becoming [279] becoming,very [279] very,sick [279] sick,contact [279] contact,health Top Word Pairs in Tweet in G3:
[625] 2019,ncov [609] quantified,virus [609] virus,isolates [609] isolates,2019 [609] ncov,available [609] available,cdc [609] cdc,use [609] use,time [607] ajacquitaylor,document [607] document,quantified Top Word Pairs in Tweet in G4:
[128] covid,19 [42] 2019,ncov [24] learn,more [17] ncov,19 [16] chadox1,ncov [12] sars,cov [11] 2022,02 [11] 19,vaccine [10] 19,vaccination [10] 19,vaccines Top Word Pairs in Tweet in G5:
[8] parents,#dyk [8] #dyk,safe [8] safe,children [8] children,ages [8] ages,years [8] years,older [8] older,#covid19 [8] #covid19,vaccine [8] vaccine,vaccines [8] vaccines,including Top Word Pairs in Tweet in G6:
[382] 詳細は,co [375] ibaraki_kouhou,#新型コロナウイルス感染症情報 [321] co,0iqvdzsuud [207] 本日の死亡者数,3名 [207] 3名,詳細は [175] 20,日 [175] 日,まで [171] うち重症者数,9名 [170] 9名,本日の死亡者数 [114] 0iqvdzsuud,20 Top Word Pairs in Tweet in G7:
[128] の新型コロナウイルス感染症の情報,新規感染者数 [128] 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になります [116] covid,19 [115] の広島県内の感染状況,本日の感染者はコチラ [115] information,multiple [115] multiple,languages [115] languages,covid [110] hiroshima_pref,本日 [59] 本日の感染者はコチラ,co [56] 本日の感染者はコチラ,information Top Word Pairs in Tweet in G8:
[99] summary,recommendations [99] recommendations,#covid19 [99] #covid19,vaccination [99] vaccination,pregnancy [99] pregnancy,re [99] re,pregnant [99] pregnant,vaccination [28] those,trying [28] trying,conceive [28] conceive,studies Top Word Pairs in Tweet in G9:
[78] _2019_ncov,marc_doyer [78] marc_doyer,verity_france [78] verity_france,veroniquegenest [78] veroniquegenest,alainhoupert [78] alainhoupert,martinewonner [78] martinewonner,mullerbronnl [78] crepin_sylvain,_2019_ncov [65] mullerbronnl,merci [65] merci,d'avance [64] d'avance,po Top Word Pairs in Tweet in G10:
[93] 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,第三報 [93] 第三報,3回接種後のワクチンによる感染予防効果は81 [92] earl_covid19_tw,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 [13] ω,分からん [13] 分からん,何故に韓国はこの新型コロナ予防接種状況なのに [13] 何故に韓国はこの新型コロナ予防接種状況なのに,人口比あたりで日本の2倍以上の感染者数を記録しておるのだ [12] koutm,ω [12] 人口比あたりで日本の2倍以上の感染者数を記録しておるのだ,オミクロン2号が悪さしてる [2] д,火曜日分9万443人 [2] 火曜日分9万443人,ｺﾞｸﾘ 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 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: