The graph represents a network of 8,082 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, 03 December 2020 at 11:54 UTC.
The requested start date was Thursday, 03 December 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 2-day, 12-hour, 32-minute period from Monday, 30 November 2020 at 12:28 UTC to Thursday, 03 December 2020 at 01:01 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 : 8082
Unique Edges : 3955
Edges With Duplicates : 11629
Total Edges : 15584
Number of Edge Types : 5
Tweet : 1436
Retweet : 5048
MentionsInRetweet : 5879
Mentions : 2252
Replies to : 969
Self-Loops : 1461
Reciprocated Vertex Pair Ratio : 0.003281999495077
Reciprocated Edge Ratio : 0.00654252642174132
Connected Components : 1238
Single-Vertex Connected Components : 528
Maximum Vertices in a Connected Component : 4201
Maximum Edges in a Connected Component : 9677
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.383848
Graph Density : 0.000121695327998766
Modularity : 0.503691
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,082 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, 03 December 2020 at 11:54 UTC.
The requested start date was Thursday, 03 December 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 2-day, 12-hour, 32-minute period from Monday, 30 November 2020 at 12:28 UTC to Thursday, 03 December 2020 at 01:01 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:
[1386] covid,19 [560] 2019,ncov [545] advisory,committee [502] wear,mask [411] spread,#covid19 [383] pandemic,over [358] still,spread [357] mask,know [357] know,sick [357] sick,#wearamask Top Word Pairs in Tweet in G1:
[540] covid,19 [523] advisory,committee [440] wear,mask [373] spread,#covid19 [364] pandemic,over [343] mask,know [343] know,sick [343] sick,#wearamask [343] #wearamask,still [343] still,spread Top Word Pairs in Tweet in G2:
[249] covid,19 [81] 2019,ncov [39] learn,more [27] coronavirus,covid [24] total,deaths [24] mesures,especials [23] #coronavirus,#covid19 [22] 21,desembre [21] 2020,12 [21] total,confirmed Top Word Pairs in Tweet in G3:
[263] #新型コロナウイルス,感染症情報 [263] 引き続き,感染症対策にご協力をお願いします [259] ibaraki_kouhou,#新型コロナウイルス [170] 対象市町,土浦市 [170] 本日追加,上記市町の皆さまには [170] 上記市町の皆さまには,#不要不急の外出自粛 [170] #不要不急の外出自粛,及び [170] 及び,#営業時間短縮要請 [168] 感染症情報,12月1日 [168] 12月1日,本日の新規陽性者数 Top Word Pairs in Tweet in G4:
[111] today,issued [111] issued,guidelines [111] guidelines,wearing [111] wearing,masks [111] masks,including [111] including,indoors [111] indoors,during [111] during,heavy [111] heavy,exercise [110] laurie_garrett,today Top Word Pairs in Tweet in G5:
[112] datos,#covid19 [62] actualización,datos [62] #covid19,infografías [62] infografías,materiales [62] materiales,#coronavirus [59] sanidadgob,actualización [50] #covid19,españa [50] españa,primer [50] primer,caso [50] caso,inicial Top Word Pairs in Tweet in G6:
[173] 21,desembre [173] mesures,especials [173] dies,més [172] entraran,vigor [171] partir,21 [171] vigor,mesures [171] especials,dies [171] més,assenyalats [170] desembre,entraran [169] assenyalats,nadal Top Word Pairs in Tweet in G7:
[57] covid,19 [52] 19,media [52] cdc,antibody [52] antibody,test [52] test,results [52] results,used [52] used,diagnose [52] diagnose,someone [51] someone,active [51] active,infection Top Word Pairs in Tweet in G8:
[49] bombshell,dropped [49] dropped,november [49] november,27th [49] 27th,2020 [49] 2020,open [49] open,letter [49] letter,exposing [49] exposing,ten [49] ten,critical [49] critical,errors Top Word Pairs in Tweet in G9:
[12] nextstrain,gisaid [11] thanks,#opendata [11] #opendata,sharing [11] sharing,gisaid [11] gisaid,we've [11] we've,updated [11] #covid19,#sarscov2 [11] #sarscov2,sequences [9] migscenter,lsuhs [9] lsuhs,lsuhsevtlab Top Word Pairs in Tweet in G10:
[107] #onthisday,2019 [107] 2019,first [107] first,known [107] known,case [107] case,2019 [107] 2019,ncov [107] ncov,infection [107] infection,reported [107] reported,wuhan [107] wuhan,china 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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