The graph represents a network of 10,271 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 Wednesday, 24 November 2021 at 08:25 UTC.
The requested start date was Wednesday, 24 November 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 2-day, 0-hour, 8-minute period from Sunday, 21 November 2021 at 12:09 UTC to Tuesday, 23 November 2021 at 12:17 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 : 10271
Unique Edges : 5382
Edges With Duplicates : 12003
Total Edges : 17385
Number of Edge Types : 5
Tweet : 3506
Mentions : 1984
Retweet : 5306
MentionsInRetweet : 6091
Replies to : 498
Self-Loops : 3569
Reciprocated Vertex Pair Ratio : 0.00557413600891862
Reciprocated Edge Ratio : 0.0110864745011086
Connected Components : 3127
Single-Vertex Connected Components : 1130
Maximum Vertices in a Connected Component : 938
Maximum Edges in a Connected Component : 2164
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 10.320285
Graph Density : 7.69601444476877E-05
Modularity : 0.542033
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,271 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 Wednesday, 24 November 2021 at 08:25 UTC.
The requested start date was Wednesday, 24 November 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 2-day, 0-hour, 8-minute period from Sunday, 21 November 2021 at 12:09 UTC to Tuesday, 23 November 2021 at 12:17 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:
[6230] covid,19 [417] 19,vaccine [306] contra,covid [153] 19,vaccines [152] 19,pandemic [143] against,covid [127] covid,cases [115] cases,deaths [112] javid,marr [112] marr,morning Top Word Pairs in Tweet in G1:
[1016] covid,19 [42] 19,vaccine [37] contra,covid [27] 19,cases [25] 19,pandemic [23] against,covid [19] kasus,covid [19] #covid,19 [19] more,covid [17] 19,vaccines Top Word Pairs in Tweet in G2:
[144] covid,19 [51] par,covid [36] contre,covid [26] jeancastex,été [25] 19,alors [25] alors,qu'il [25] doses,vaccin [24] été,contaminé [24] contaminé,par [24] qu'il,disait Top Word Pairs in Tweet in G3:
[112] javid,marr [112] marr,morning [112] morning,doesn [112] doesn,see [112] see,uk [112] uk,covid [112] covid,cases [112] cases,deaths [112] deaths,reach [112] reach,european Top Word Pairs in Tweet in G4:
[52] covid,19 [39] 'covid,19' [37] honestly,believe [37] believe,'covid [37] 19',called [37] called,'coflu' [37] 'coflu',something [37] something,people [37] people,less [37] less,scared Top Word Pairs in Tweet in G5:
[64] covid,19 [34] même,plus [32] faute,personnels [32] personnels,sommes [32] sommes,même [32] plus,mesure [32] mesure,faire [32] faire,face [32] face,vaguelette [32] vaguelette,cause Top Word Pairs in Tweet in G6:
[118] covid,19 [82] 19,shots [81] immune,notice [81] notice,quit [81] quit,using [81] using,word [81] word,context [81] context,covid [81] shots,shots [81] shots,don Top Word Pairs in Tweet in G7:
[105] covid,19 [30] reuters,dutch [28] dutch,covid [28] 19,patients [28] patients,transferred [28] transferred,germany [28] germany,hospitals [28] hospitals,struggle [15] 19,restrictions [13] 19,vaccines Top Word Pairs in Tweet in G8:
[70] covid,19 [18] 19,vaccine [9] eligible,covid [8] 19,booster [7] kids,aged [6] months,critics [6] critics,prodded [6] prodded,drug [6] drug,companies [6] companies,more Top Word Pairs in Tweet in G9:
[35] covid,19 [17] updated,guidelines [11] guidelines,management [11] management,multisystem [11] multisystem,inflammatory [11] inflammatory,syndrome [11] syndrome,children [11] children,associated [11] associated,#covid19 [8] child,covid Top Word Pairs in Tweet in G10:
[32] covid,19 [12] last,attempt [10] ह,ज [9] त,म [7] सबस,अध [7] अध,क [7] क,च [7] च,त [7] त,जनक [7] जनक,पर 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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