The graph represents a network of 6,976 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, 20 February 2022 at 10:36 UTC.
The requested start date was Sunday, 20 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, 7-hour, 20-minute period from Wednesday, 16 February 2022 at 05:05 UTC to Saturday, 19 February 2022 at 12:26 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 : 6976
Unique Edges : 4351
Edges With Duplicates : 12133
Total Edges : 16484
Number of Edge Types : 5
Replies to : 1885
Mentions : 3365
Retweet : 4514
MentionsInRetweet : 5545
Tweet : 1175
Self-Loops : 1239
Reciprocated Vertex Pair Ratio : 0.0280715005035247
Reciprocated Edge Ratio : 0.0546100159177176
Connected Components : 831
Single-Vertex Connected Components : 286
Maximum Vertices in a Connected Component : 3269
Maximum Edges in a Connected Component : 9313
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.833574
Graph Density : 0.000167846338495939
Modularity : 0.475813
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,976 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, 20 February 2022 at 10:36 UTC.
The requested start date was Sunday, 20 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, 7-hour, 20-minute period from Wednesday, 16 February 2022 at 05:05 UTC to Saturday, 19 February 2022 at 12:26 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:
[1066] covid,19 [544] 2019,ncov [471] 詳細は,co [465] ibaraki_kouhou,#新型コロナウイルス感染症情報 [347] co,0iqvdzsuud [301] very,sick [267] positive,covid [256] test,positive [255] right,away [252] risk,becoming Top Word Pairs in Tweet in G1:
[40] _2019_ncov,el_dic_tator [40] _2019_ncov,c'est [39] el_dic_tator,corsairduroy [36] ils,ont [35] rdp1603,_2019_ncov [28] ah,ah [28] lrestistant73,_2019_ncov [24] yvespdb,poulin2012 [24] _2019_ncov,vu [24] taille,table Top Word Pairs in Tweet in G2:
[427] covid,19 [288] very,sick [245] right,away [243] positive,covid [242] test,positive [242] 19,risk [242] risk,becoming [242] becoming,very [242] sick,contact [242] contact,health Top Word Pairs in Tweet in G3:
[468] 詳細は,co [462] ibaraki_kouhou,#新型コロナウイルス感染症情報 [345] co,0iqvdzsuud [241] 本日の死亡者数,3名 [241] 3名,詳細は [136] の新型コロナウイルス感染症の情報,新規感染者数 [136] 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 [123] 本日の死亡者数,2名 [123] 2名,詳細は [123] co,0iqvdzjxwd Top Word Pairs in Tweet in G4:
[153] 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 [109] 第三報,3回接種後のワクチンによる感染予防効果は81 [108] 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 [100] 秘書です,ブースター接種後12時間以上経ちましたが [100] ブースター接種後12時間以上経ちましたが,今回も無熱で [100] 今回も無熱で,どこも痛く無い朝を迎えています [100] どこも痛く無い朝を迎えています,先生より [100] 先生より,国立感染症研究所からの日本国内のコロナワクチン関連心筋炎のレポートが出ました [100] 国立感染症研究所からの日本国内のコロナワクチン関連心筋炎のレポートが出ました,と [99] sguardo_bot,秘書です Top Word Pairs in Tweet in G5:
[114] covid,19 [34] 2019,ncov [18] sars,cov [16] learn,more [15] chadox1,ncov [15] ncov,19 [13] 19,vaccine [12] casos,confirmados [11] 2022,02 [10] coronavirus,2019 Top Word Pairs in Tweet in G6:
[97] contact,tracing [82] tracing,quarantine [81] guidance,contact [80] quarantine,places [80] places,extremely [80] extremely,high [80] high,cases [80] cases,due [80] due,#covid19 [80] #covid19,variant Top Word Pairs in Tweet in G7:
[221] 2019,ncov [210] quantified,virus [210] virus,isolates [210] isolates,2019 [210] ncov,available [210] available,cdc [210] cdc,use [210] use,time [207] ajacquitaylor,document [207] document,quantified Top Word Pairs in Tweet in G8:
[4] covid,19 [4] claudeddaniel,thatsnotmine125 [3] rtheatheist,kayvonpaul [3] kayvonpaul,themelyssak [3] themelyssak,bebert701 [3] bebert701,andylumm [3] andylumm,barryjohnreid21 [3] barryjohnreid21,pawley_robert [3] pawley_robert,burgerlab12 [3] burgerlab12,markmcdougall13 Top Word Pairs in Tweet in G9:
[2] uncommonsensepa,reopenpa [2] angryfleas,fvckyourfear [2] fvckyourfear,mattallica17 [2] mattallica17,drdeblk [2] drdeblk,septrose70 [2] septrose70,gumbeauxmike [2] gumbeauxmike,jonrfleming [2] jonrfleming,hoglitosis [2] hoglitosis,tom_neverwinter [2] confirmed,cases Top Word Pairs in Tweet in G10:
[166] covid,19 [157] golden_pup,covid [118] 19,vax [118] vax,deaths [118] deaths,reported [118] reported,ontario [118] ontario,week [118] week,report [118] report,interpret [118] interpret,deaths Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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