The graph represents a network of 12,343 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 Monday, 18 January 2021 at 09:22 UTC.
The requested start date was Monday, 18 January 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 3-day, 0-hour, 0-minute period from Thursday, 14 January 2021 at 13:46 UTC to Sunday, 17 January 2021 at 13:47 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 : 12343
Unique Edges : 7113
Edges With Duplicates : 11926
Total Edges : 19039
Number of Edge Types : 5
Retweet : 5463
MentionsInRetweet : 6482
Tweet : 3600
Replies to : 896
Mentions : 2598
Self-Loops : 3636
Reciprocated Vertex Pair Ratio : 0.00406885758998435
Reciprocated Edge Ratio : 0.00810473815461347
Connected Components : 3903
Single-Vertex Connected Components : 1011
Maximum Vertices in a Connected Component : 686
Maximum Edges in a Connected Component : 1520
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.43935
Graph Density : 6.31755953462903E-05
Modularity : 0.585189
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 12,343 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 Monday, 18 January 2021 at 09:22 UTC.
The requested start date was Monday, 18 January 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 3-day, 0-hour, 0-minute period from Thursday, 14 January 2021 at 13:46 UTC to Sunday, 17 January 2021 at 13:47 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:
[2990] covid,19 [453] contra,covid [216] covid,vaccine [181] tratamento,precoce [176] 19,vaccine [148] last,night [119] nurse,seattle [119] seattle,last [119] night,seattlepd [119] seattlepd,officers Top Word Pairs in Tweet in G1:
[383] covid,19 [35] contra,covid [34] 19,vaccine [23] covid,vaccine [9] vaksin,covid [9] due,covid [8] vacuna,covid [8] casos,covid [8] during,covid [8] anti,covid Top Word Pairs in Tweet in G2:
[153] covid,19 [79] contra,covid [49] uso,sputnik [49] sputnik,vacuna [49] vacuna,segura [47] minsaludve,aprobó [47] aprobó,uso [46] segura,eficaz [44] lucha,contra [42] #graciasrusia,minsaludve Top Word Pairs in Tweet in G3:
[43] covid,19 [36] covid,sceptic [33] uk,tragically [33] tragically,hits [33] hits,record [33] record,number [33] number,covid [33] 19,deaths [33] deaths,covid [32] sceptic,chief Top Word Pairs in Tweet in G4:
[119] nurse,seattle [119] seattle,last [119] last,night [119] night,seattlepd [119] seattlepd,officers [119] officers,came [119] came,obtain [119] obtain,statement [119] statement,assault [119] assault,patient Top Word Pairs in Tweet in G5:
[22] covid,lungs [22] lungs,look [22] look,worse [22] worse,type [22] type,terrible [22] covid,19 [20] psssst,pass [20] pass,covid [20] covid,lung [20] lung,worse Top Word Pairs in Tweet in G6:
[23] covid,19 [13] think,narendramodi [13] narendramodi,wasn [13] wasn,leading [13] leading,country [13] following,threats [13] threats,happened [12] country,during [12] during,following [12] 19,vaccination Top Word Pairs in Tweet in G7:
[45] people,dead [45] dead,capital [45] capital,riot [45] riot,terrible [45] terrible,trump [45] trump,lit [45] lit,fuse [45] fuse,400 [45] 400,000 [45] 000,americans Top Word Pairs in Tweet in G8:
[48] covid,19 [27] science,behind [22] president,elect [15] climate,change [14] behind,covid [13] behind,climate [13] change,hoax [13] hoax,science [13] 19,partisan [13] partisan,president Top Word Pairs in Tweet in G9:
[13] covid,19 [9] covid,vaccine [7] toby,young's [6] bbcnews,seen [6] seen,lay [6] lay,people [6] people,being [6] being,trained [6] trained,give [6] give,covid Top Word Pairs in Tweet in G10:
[37] covid,19 [23] reporte,#covid_19mx [23] #covid_19mx,#edoméx [17] alfredodelmazo,reporte [17] contra,covid [8] responsable,aumento [8] aumento,contagios [8] contagios,covd [8] covd,19 [8] 19,mundo Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: