The graph represents a network of 10,435 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 June 2021 at 07:18 UTC.
The requested start date was Monday, 14 June 2021 at 00:01 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, 3-minute period from Thursday, 10 June 2021 at 12:17 UTC to Sunday, 13 June 2021 at 12:20 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 : 10435
Unique Edges : 5209
Edges With Duplicates : 12721
Total Edges : 17930
Number of Edge Types : 5
Retweet : 5739
MentionsInRetweet : 6589
Mentions : 1888
Tweet : 3357
Replies to : 357
Self-Loops : 3398
Reciprocated Vertex Pair Ratio : 0.0046583850931677
Reciprocated Edge Ratio : 0.00927357032457496
Connected Components : 3029
Single-Vertex Connected Components : 949
Maximum Vertices in a Connected Component : 1056
Maximum Edges in a Connected Component : 2383
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.81187
Graph Density : 7.72510421910457E-05
Modularity : 0.541008
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,435 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 June 2021 at 07:18 UTC.
The requested start date was Monday, 14 June 2021 at 00:01 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, 3-minute period from Thursday, 10 June 2021 at 12:17 UTC to Sunday, 13 June 2021 at 12:20 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 : COVID-19
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:
[7040] covid,19 [518] contra,covid [355] 19,vaccine [239] 19,vaccines [184] positive,covid [177] ศ,นย [168] 19,pandemic [165] รพ,ศ [165] นย,แห [165] แห,งหน Top Word Pairs in Tweet in G1:
[861] covid,19 [70] contra,covid [43] 19,vaccine [22] 19,cases [21] 19,pandemic [19] 19,hits [19] hits,country [19] quarantine,center [18] 19,vaccines [15] #covid,19 Top Word Pairs in Tweet in G2:
[299] covid,19 [85] dijangkiti,covid [84] 15,jemaah [84] jemaah,masjid [84] masjid,taman [84] taman,mahsuri [84] mahsuri,jitra [84] jitra,disahkan [84] disahkan,meninggal [84] meninggal,dunia Top Word Pairs in Tweet in G3:
[175] covid,19 [155] favor,não [155] não,deixem [155] deixem,usar [155] usar,máscara [155] máscara,depois [155] depois,desse [155] desse,pronunciamento [155] pronunciamento,vacina [155] vacina,não Top Word Pairs in Tweet in G4:
[105] covid,19 [14] second,wave [14] g7,summit [12] participated,g7 [12] summit,session [12] session,health [12] health,thanked [12] thanked,partners [12] partners,support [12] support,during Top Word Pairs in Tweet in G5:
[165] รพ,ศ [165] ศ,นย [165] นย,แห [165] แห,งหน [165] งหน,งในภาคกลางกลายเป [165] งในภาคกลางกลายเป,น [165] น,cluster [165] cluster,covid [165] covid,19 [165] 19,ไปแล Top Word Pairs in Tweet in G6:
[228] covid,19 [49] dijangkiti,covid [35] rumah,kerana [34] sila,duduk [34] duduk,rumah [34] kerana,jika [34] jika,anda [34] anda,dan [34] dan,keluarga [34] keluarga,dijangkiti Top Word Pairs in Tweet in G7:
[109] covid,19 [99] hydroxychloroquine,zinc [99] zinc,increase [99] increase,covid [98] another,one [98] one,bites [98] bites,dust [98] dust,hydroxychloroquine [98] 19,survival [98] survival,rates Top Word Pairs in Tweet in G8:
[127] covid,19 [114] contra,covid [96] anvisa,autoriza [96] autoriza,vacina [96] vacina,pfizer [96] partir,12 [96] 12,anos [95] adolescentes,partir [94] pfizer,contra [94] 19,adolescentes Top Word Pairs in Tweet in G9:
[102] covid,19 [42] contra,covid [22] plan,ii [22] ii,fase [22] fase,vacunación [22] vacunación,través [22] través,sistema [22] sistema,carnetdlapatria [22] carnetdlapatria,estará [22] estará,convocando Top Word Pairs in Tweet in G10:
[112] covid,19 [20] testou,positivo [20] positivo,covid [20] foi,substituído [20] convocatória,euro [20] euro,2020 [18] petasreais,diogo [14] contra,covid [14] diogo,dalot [14] dalot,testou Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: