The graph represents a network of 12,024 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 05 November 2021 at 07:55 UTC.
The requested start date was Friday, 05 November 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 2-day, 0-hour, 2-minute period from Monday, 01 November 2021 at 12:17 UTC to Wednesday, 03 November 2021 at 12:19 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 : 12024
Unique Edges : 7103
Edges With Duplicates : 11271
Total Edges : 18374
Number of Edge Types : 5
Retweet : 5171
MentionsInRetweet : 6075
Tweet : 3461
Mentions : 2565
Replies to : 1102
Self-Loops : 3508
Reciprocated Vertex Pair Ratio : 0.00699448919033489
Reciprocated Edge Ratio : 0.0138918122500526
Connected Components : 3668
Single-Vertex Connected Components : 1049
Maximum Vertices in a Connected Component : 715
Maximum Edges in a Connected Component : 1456
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 8.940771
Graph Density : 6.57284228294084E-05
Modularity : 0.592821
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,024 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 05 November 2021 at 07:55 UTC.
The requested start date was Friday, 05 November 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 2-day, 0-hour, 2-minute period from Monday, 01 November 2021 at 12:17 UTC to Wednesday, 03 November 2021 at 12:19 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
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:
[2380] covid,19 [214] sa,covid [199] covid,vaccine [193] 19,vaccine [183] contra,covid [160] ang,ating [111] mapabilis,ang [111] covid,ang [109] paglaya,sa [109] ang,kailangan Top Word Pairs in Tweet in G1:
[415] covid,19 [33] contra,covid [24] covid,vaccine [23] 19,vaccine [17] 19,pandemic [13] casos,covid [10] anti,covid [10] positive,covid [10] during,covid [10] covid,vaccines Top Word Pairs in Tweet in G2:
[188] sa,covid [160] ang,ating [111] mapabilis,ang [109] paglaya,sa [109] covid,ang [109] ang,kailangan [109] kailangan,klaro [109] klaro,malawakan [109] malawakan,strategic [109] strategic,mapagpalayang Top Word Pairs in Tweet in G3:
[39] against,covid [34] one,best [34] best,vaccine [33] ani,long [33] long,due [33] due,covaxin [33] covaxin,one [33] vaccine,against [33] covid,treated [33] treated,unfairly Top Word Pairs in Tweet in G4:
[40] covid,19 [13] lancet,study [13] study,finds [13] finds,covid [13] covid,shots [13] shots,prevent [13] prevent,transmission [13] covid,recovered [12] rwmalonemd,lancet [10] porta,voz Top Word Pairs in Tweet in G5:
[29] covid,deaths [14] 293,covid [14] deaths,today [14] today,one [14] one,fifth [14] fifth,total [14] total,road [14] road,traffic [14] traffic,fatalities [14] fatalities,entire Top Word Pairs in Tweet in G6:
[55] covid,19 [30] vaccination,drive [29] vaccine,remains [29] remains,best [29] best,way [29] way,defeat [29] defeat,covid [29] 19,take [29] take,vaccination [29] drive,next Top Word Pairs in Tweet in G7:
[20] positive,covid [19] jen,psaki [18] covid,19 [13] more,floridians [13] floridians,died [12] tested,positive [11] president,biden [10] psaki,tested [10] died,covid [10] covid,total Top Word Pairs in Tweet in G8:
[19] オーストラリア,covid法規の罰金を払わない違反者の家を没収 [19] covid法規の罰金を払わない違反者の家を没収,銀行口座を捜査 [19] 銀行口座を捜査,運転免許書取り消し [19] 運転免許書取り消し,これでパンデミック終息するんでしたっけ [18] islande18646376,オーストラリア [11] wear,masks [9] mps,told [9] told,wear [9] masks,parliament [9] parliament,amid Top Word Pairs in Tweet in G10:
[94] don,anymore [94] anymore,10 [94] 10,year [94] year,plans [94] plans,grief [94] grief,covid [94] covid,ruined [94] ruined,until [93] itslinzzzz,don Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: