The graph represents a network of 9,073 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, 30 November 2022 at 08:17 UTC.
The requested start date was Wednesday, 30 November 2022 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 4-day, 0-hour, 22-minute period from Friday, 25 November 2022 at 11:55 UTC to Tuesday, 29 November 2022 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 : 9073
Unique Edges : 4402
Edges With Duplicates : 12074
Total Edges : 16476
Number of Edge Types : 5
Retweet : 5503
MentionsInRetweet : 6181
Tweet : 2684
Replies to : 529
Mentions : 1579
Self-Loops : 2805
Reciprocated Vertex Pair Ratio : 0.00584251759394503
Reciprocated Edge Ratio : 0.0116171617161716
Connected Components : 2490
Single-Vertex Connected Components : 1015
Maximum Vertices in a Connected Component : 1605
Maximum Edges in a Connected Component : 3469
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.214492
Graph Density : 9.20298437657635E-05
Modularity : 0.51814
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,073 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, 30 November 2022 at 08:17 UTC.
The requested start date was Wednesday, 30 November 2022 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 4-day, 0-hour, 22-minute period from Friday, 25 November 2022 at 11:55 UTC to Tuesday, 29 November 2022 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:
[6045] covid,19 [502] enforcing,covid [426] twitter,longer [371] misinformation,policy [367] 19,misinformation [354] longer,enforcing [349] vtvcanal8,#prevención [323] combate,covid [320] 19,mejor [317] mascarilla,vacunas Top Word Pairs in Tweet in G1:
[996] covid,19 [54] 19,pandemic [41] contra,covid [38] casos,covid [25] #covid,19 [25] 19,vaccination [24] 19,cases [21] 19,booster [20] 19,vaccine [19] against,covid Top Word Pairs in Tweet in G2:
[536] covid,19 [340] vtvcanal8,#prevención [310] combate,covid [310] mascarilla,vacunas [310] consciente,cuídate [310] combinación,mascarilla [310] mejor,combinación [310] vacunas,sé [310] sé,consciente [310] 19,mejor Top Word Pairs in Tweet in G3:
[245] covid,19 [218] enforcing,covid [217] longer,enforcing [217] twitter,longer [166] 19,misinformation [166] breaking,twitter [166] misinformation,policy [165] january,2020 [165] reports,january [165] twitter,reports Top Word Pairs in Tweet in G4:
[87] covid,19 [47] président,république [47] république,emmanuelmacron [47] non,vaccinés [41] soignants,non [35] contre,covid [27] emmanuelmacron,vient [27] retour,l'hôpital [27] vient,déclarer [27] l'hôpital,soignants Top Word Pairs in Tweet in G5:
[147] covid,19 [146] misinformation,policy [146] 19,misinformation [122] enforcing,covid [122] breaking,twitter [119] twitter,stopped [119] november,23rd [119] stopped,enforcing [119] policy,november [118] alx,breaking Top Word Pairs in Tweet in G6:
[81] covid,19 [15] 19,vaccine [14] chrystia,freeland [14] approval,process [13] freeland,admitted [13] 19,restrictions [13] arrest,accredited [13] 19,vaccines [13] launch,public [13] brenden,miller Top Word Pairs in Tweet in G7:
[105] covid,19 [87] enforcing,covid [87] highlighted,orange [87] addendum,policy [87] longer,enforcing [87] twitter,longer [87] information,policy [87] policy,addendum [87] policy,highlighted [87] 19,misleading Top Word Pairs in Tweet in G8:
[77] covid,19 [70] twitter,longer [69] 19,misleading [69] information,policy [69] misleading,information [68] policy,platform [68] longer,enforces [68] enforces,covid [65] disclosetv,twitter [19] 新型コロナウイルス感染症,の条件を満たしていません Top Word Pairs in Tweet in G9:
[4] hoax,film [4] told,hoax [4] course,one [4] slowly,becoming [4] dozens,lies [4] one,dozens [4] lies,told [4] becoming,consensus [4] film,slowly [3] covid,19 Top Word Pairs in Tweet in G10:
[58] covid,19 [35] jusqu,#covid_19 [35] santé,lequel [35] douté,notre [35] confiance,totale [35] notre,système [35] avais,douté [35] jamais,avais [35] système,santé [35] lequel,avais Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G6:
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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:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: