The graph represents a network of 7,775 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 Tuesday, 07 December 2021 at 14:01 UTC.
The requested start date was Tuesday, 07 December 2021 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, 8-hour, 15-minute period from Saturday, 04 December 2021 at 16:45 UTC to Tuesday, 07 December 2021 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 : 7775
Unique Edges : 5254
Edges With Duplicates : 13165
Total Edges : 18419
Number of Edge Types : 5
Retweet : 4226
MentionsInRetweet : 5729
Replies to : 2441
Tweet : 951
Mentions : 5072
Self-Loops : 992
Reciprocated Vertex Pair Ratio : 0.0343906867457012
Reciprocated Edge Ratio : 0.0664945792462571
Connected Components : 957
Single-Vertex Connected Components : 316
Maximum Vertices in a Connected Component : 1657
Maximum Edges in a Connected Component : 7045
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.412537
Graph Density : 0.000160234006172773
Modularity : 0.482549
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,775 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 Tuesday, 07 December 2021 at 14:01 UTC.
The requested start date was Tuesday, 07 December 2021 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, 8-hour, 15-minute period from Saturday, 04 December 2021 at 16:45 UTC to Tuesday, 07 December 2021 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:
[772] covid,19 [541] air,passengers [521] passengers,regardless [520] status,show [519] show,negative [514] vaccination,status [512] regardless,vaccination [510] negative,#covid19 [507] starting,dec [452] 19,vaccine Top Word Pairs in Tweet in G1:
[162] cyrildufour2,gino_2019_ncov [154] gino_2019_ncov,mckinsey [148] mckinsey,également [148] également,participé [148] participé,création [148] création,lrem [148] lrem,2017 [148] 2017,oublions [148] oublions,également [148] également,11 Top Word Pairs in Tweet in G2:
[477] air,passengers [468] passengers,regardless [466] status,show [466] show,negative [464] negative,#covid19 [459] starting,dec [453] regardless,vaccination [453] vaccination,status [403] traveling,internationally [400] internationally,starting Top Word Pairs in Tweet in G3:
[405] covid,19 [405] 19,vaccine [394] adverse,events [231] case,myocarditis [231] public,health [213] myocarditis,pericarditis [208] ontario's,1st [208] 1st,case [208] pericarditis,report [208] report,public Top Word Pairs in Tweet in G4:
[106] covid,19 [41] shielding,approach [24] high,risk [22] ncov,19 [22] learn,more [22] risk,low [22] low,risk [21] chadox1,ncov [21] approach,cdc's [21] cdc's,end Top Word Pairs in Tweet in G5:
[36] week,shared [36] shared,steps [36] steps,cdc [36] cdc,taking [36] taking,stay [36] stay,ahead [36] ahead,#omicronvariant [36] #omicronvariant,including [36] including,increased [36] increased,surveillance Top Word Pairs in Tweet in G6:
[8] rtheatheist,kayvonpaul [8] kayvonpaul,themelyssak [8] themelyssak,bebert701 [8] bebert701,andylumm [8] andylumm,barryjohnreid21 [8] barryjohnreid21,pawley_robert [8] pawley_robert,burgerlab12 [8] burgerlab12,markmcdougall13 [6] truth_in_number,unclebuckj [6] nyob7714,browningneelyn Top Word Pairs in Tweet in G7:
[242] #新型コロナウイルス,感染症情報 [242] 本日の新規陽性者数,0名 [242] 0名,本日の退院等回復者数 [242] 本日の退院等回復者数,0名 [242] 0名,現在の入院者数 [242] 現在の入院者数,0名 [242] 0名,うち重症者数 [242] うち重症者数,0名 [242] 0名,詳しくはこちらをご覧ください [239] ibaraki_kouhou,#新型コロナウイルス Top Word Pairs in Tweet in G8:
[54] contra,#covid19 [36] vacunas,contra [27] #covid19,seguras [27] seguras,fda [27] fda,autorizado [27] autorizado,niños [27] niños,vacunas [27] covid,19 [26] cdcespanol,vacunas [26] vacunas,contr Top Word Pairs in Tweet in G9:
[37] public,spaces [37] spaces,business [37] business,homes [37] homes,take [37] take,steps [37] steps,improve [37] improve,indoor [37] indoor,air [37] air,quality [37] quality,reduce Top Word Pairs in Tweet in G10:
[48] shielding,approach [43] thread,cdc [43] cdc,shielding [43] approach,cdc's [43] cdc's,end [43] end,game [43] game,plan [43] plan,establishing [43] establishing,camps [43] camps,separate Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: