The graph represents a network of 11,973 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 Saturday, 25 September 2021 at 07:39 UTC.
The requested start date was Saturday, 25 September 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, 1-minute period from Wednesday, 22 September 2021 at 12:18 UTC to Friday, 24 September 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 : 11973
Unique Edges : 6882
Edges With Duplicates : 11632
Total Edges : 18514
Number of Edge Types : 5
Retweet : 5267
MentionsInRetweet : 6155
Replies to : 1046
Tweet : 3603
Mentions : 2443
Self-Loops : 3638
Reciprocated Vertex Pair Ratio : 0.00493986254295533
Reciprocated Edge Ratio : 0.00983116050438128
Connected Components : 3690
Single-Vertex Connected Components : 1004
Maximum Vertices in a Connected Component : 1662
Maximum Edges in a Connected Component : 3526
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 12.91136
Graph Density : 6.52849912414303E-05
Modularity : 0.582747
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,973 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 Saturday, 25 September 2021 at 07:39 UTC.
The requested start date was Saturday, 25 September 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, 1-minute period from Wednesday, 22 September 2021 at 12:18 UTC to Friday, 24 September 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:
[2476] covid,19 [211] contra,covid [163] covid,vaccine [150] covid,vaccines [138] 19,vaccine [133] covid,aşısı [116] against,covid [107] prevent,senior [95] covid,deaths [94] ministro,saúde Top Word Pairs in Tweet in G1:
[369] covid,19 [33] contra,covid [27] 19,vaccine [22] covid,vaccine [18] 19,pandemic [12] ia,14 [12] 100,000h [10] casos,covid [10] 2021,09 [10] casos,16 Top Word Pairs in Tweet in G2:
[75] covid,19 [11] 19,vaccine [10] against,covid [10] hair,dye [9] york,governor [9] governor,kathy [9] kathy,hochul [9] hochul,announced [9] announced,state [9] state,health Top Word Pairs in Tweet in G3:
[28] know,need [28] need,vaccine [28] vaccine,passport [28] passport,enter [28] enter,businesses [28] businesses,nyc [28] nyc,need [28] need,one [28] one,enter [28] enter,subway Top Word Pairs in Tweet in G4:
[104] covid,19 [40] september,2021 [19] kes,covid [15] dalam,kalangan [15] 2021,untuk [15] seluruh,negara [13] ini,adalah [13] kadar,kebolehjangkitan [13] kebolehjangkitan,covid [13] 19,atau Top Word Pairs in Tweet in G5:
[25] covid,19 [15] vaccinating,children [15] children,against [15] against,covid [15] 19,peer [15] peer,reviewed [15] reviewed,published [15] published,credible [15] credible,journal [15] journal,impact Top Word Pairs in Tweet in G6:
[27] covid,19 [22] prevent,senior [16] cpi,covid [15] positivo,covid [10] eduardo,bolsonaro [9] médico,denunciou [8] ministro,saúde [8] testa,positivo [8] prevent,sênior [8] sênior,vai Top Word Pairs in Tweet in G7:
[17] 100,000 [12] covid,19 [9] 50,100 [9] pass,sanitaire [8] indicateur,considérer [8] considérer,grippe [8] grippe,comme [8] comme,épidémique [8] épidémique,situe [8] situe,173 Top Word Pairs in Tweet in G8:
[32] covid,19 [18] near,end [13] non,covid [12] high,risk [11] people,serious [11] serious,conditions [11] conditions,waiting [11] waiting,several [11] several,weeks [11] weeks,non Top Word Pairs in Tweet in G9:
[32] occupydemocrats,breaking [17] breaking,sent [17] sent,grantstern [17] grantstern,ask [17] ask,governor [17] governor,desantis [17] desantis,gives [17] gives,damn [17] damn,rate [17] rate,kids Top Word Pairs in Tweet in G10:
[24] government,claims [24] vip,lane [24] lane,testing [22] remember,government [22] claims,over [22] over,vip [22] testing,'completely [22] 'completely,false' [22] false',well [22] well,guess 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:
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Top Tweeters in G10: