The graph represents a network of 7,813 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, 12 November 2020 at 11:57 UTC.
The requested start date was Thursday, 12 November 2020 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, 0-hour, 21-minute period from Monday, 09 November 2020 at 00:39 UTC to Thursday, 12 November 2020 at 01:00 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 : 7813
Unique Edges : 4634
Edges With Duplicates : 11330
Total Edges : 15964
Number of Edge Types : 5
Mentions : 2127
Replies to : 846
Retweet : 4981
MentionsInRetweet : 6486
Tweet : 1524
Self-Loops : 1564
Reciprocated Vertex Pair Ratio : 0.0066429418742586
Reciprocated Edge Ratio : 0.013198208814518
Connected Components : 1253
Single-Vertex Connected Components : 591
Maximum Vertices in a Connected Component : 4166
Maximum Edges in a Connected Component : 10176
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 4.896385
Graph Density : 0.000139034624569486
Modularity : 0.52285
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,813 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, 12 November 2020 at 11:57 UTC.
The requested start date was Thursday, 12 November 2020 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, 0-hour, 21-minute period from Monday, 09 November 2020 at 00:39 UTC to Thursday, 12 November 2020 at 01:00 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:
[723] covid,19 [550] cloth,masks [518] masks,help [465] 2019,ncov [459] help,reduce [457] reduce,inhalation [454] protect,others [448] inhalation,droplets [447] personal,protection [446] droplets,wearer Top Word Pairs in Tweet in G1:
[436] masks,help [433] help,reduce [433] reduce,inhalation [432] inhalation,droplets [432] droplets,wearer [429] yeah,cdcgov [429] cdcgov,making [429] making,things [429] things,masks [428] alexberenson,yeah Top Word Pairs in Tweet in G2:
[165] covid,19 [50] wear,mask [49] 2019,ncov [49] sars,cov [42] cloth,masks [35] scientific,brief [34] spread,sars [33] community,use [32] use,cloth [32] control,spread Top Word Pairs in Tweet in G3:
[415] cloth,masks [415] protect,others [414] updated,today [414] today,cdc [414] cdc,recognizes [414] recognizes,cloth [414] masks,act [414] act,both [414] both,source [414] source,control Top Word Pairs in Tweet in G4:
[161] datos,#covid19 [88] actualización,datos [85] sanidadgob,actualización [73] #covid19,españa [73] españa,primer [73] primer,caso [73] caso,inicial [73] inicial,actualizados [73] actualizados,hoy [73] noviembre,confirmados Top Word Pairs in Tweet in G5:
[227] #新型コロナウイルス,感染症情報 [221] ibaraki_kouhou,#新型コロナウイルス [154] 引き続き感染防止にご協力をお願いします,#いばらきアマビエちゃん [148] の登録,利用を徹底し [117] #茨城版コロナnext,本日 [117] 本日,県のコロナ対策指針をstage2から [117] 県のコロナ対策指針をstage2から,#stage3 [117] #stage3,に強化しました [117] に強化しました,#いばらきアマビエちゃん [117] #いばらきアマビエちゃん,の登録 Top Word Pairs in Tweet in G6:
[129] green,zones [121] high,risk [119] cdc,doc [116] alert,cdc [116] doc,talks [116] talks,separating [116] separating,families [116] families,isolating [116] isolating,high [116] risk,members Top Word Pairs in Tweet in G7:
[60] cdcemergency,#wearamask [59] spread,#covid19 [54] #covid19,public [53] contact,tracing [52] during,contact [52] tracing,#covid19 [52] public,health [52] health,worker [52] worker,ask [52] ask,money Top Word Pairs in Tweet in G8:
[20] 2019,ncov [7] sars,cov [6] whole,corona [6] corona,covid [6] covid,sars [6] cov,2019 [6] ncov,scam [6] scam,much [6] much,bigger [6] bigger,people Top Word Pairs in Tweet in G9:
[21] texasdshs,utahdepofhealth [21] utahdepofhealth,dr_kfo [21] dr_kfo,erinyoun [20] thanks,#opendata [20] #opendata,sharing [20] sharing,gisaid [20] gisaid,we've [20] we've,updated [20] #covid19,#sarscov2 [20] #sarscov2,sequences Top Word Pairs in Tweet in G10:
[68] nytimes,updates [68] updates,findings [68] findings,mask [68] mask,wearing [68] wearing,protects [68] protects,those [68] those,around [68] around,apoorva_nyc [67] greg_folkers,nytimes [67] apoorva_nyc,#covi Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: