The graph represents a network of 10,664 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 Sunday, 25 December 2022 at 09:09 UTC.
The requested start date was Sunday, 25 December 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 2-day, 0-hour, 3-minute period from Wednesday, 21 December 2022 at 12:16 UTC to Friday, 23 December 2022 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 : 10664
Unique Edges : 6135
Edges With Duplicates : 11506
Total Edges : 17641
Number of Edge Types : 5
Retweet : 5210
MentionsInRetweet : 6058
Mentions : 2077
Replies to : 1186
Tweet : 3110
Self-Loops : 3171
Reciprocated Vertex Pair Ratio : 0.0043064369900272
Reciprocated Edge Ratio : 0.00857594222523132
Connected Components : 2921
Single-Vertex Connected Components : 946
Maximum Vertices in a Connected Component : 2899
Maximum Edges in a Connected Component : 6265
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 11.106616
Graph Density : 7.79349390475256E-05
Modularity : 0.564947
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,664 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 Sunday, 25 December 2022 at 09:09 UTC.
The requested start date was Sunday, 25 December 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 2-day, 0-hour, 3-minute period from Wednesday, 21 December 2022 at 12:16 UTC to Friday, 23 December 2022 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:
[1608] covid,19 [177] covid,vaccine [162] contra,covid [157] त,र [148] covid,cases [132] manuelrico,hoy [121] र,न [120] क,स [119] क,र [117] न,क Top Word Pairs in Tweet in G1:
[195] covid,19 [17] क,र [17] covid,cases [15] #ukraine,#oscars2023 [15] #covid,#zelensky [14] क,ल [14] #بندر_القرهدي,#covid [14] #wintersolstice,#ukraine [14] #zelensky,#wintersolstice [14] र,न Top Word Pairs in Tweet in G2:
[66] covid,19 [52] स,थ [39] त,र [37] य,स [36] र,य [35] व,स [33] health,ministers [32] need,panic [30] state,health [28] review,meeting Top Word Pairs in Tweet in G3:
[40] covid,protocol [38] स,व [37] bharat,jodo [35] jodo,yatra [34] क,स [32] त,र [31] र,म [28] क,ल [27] covid,protocols [24] ल,ग Top Word Pairs in Tweet in G4:
[34] covid,19 [22] cette,fin [22] pourquoi,ursula [22] question,laquelle [22] toujours,réponse [22] 2022,pourquoi [22] fin,2022 [22] ursula,leyen [22] laquelle,exigeons [22] réponse,cette Top Word Pairs in Tweet in G5:
[15] number,eminent [15] conclusions,externally [15] externally,peer [15] internationally,commented [15] eminent,doctors [15] commented,conclusions [15] doctors,internationally [15] covid,vaccine [14] draseemmalhotra,number [14] covid,vaccines Top Word Pairs in Tweet in G6:
[43] covid,19 [15] covid,vaccine [15] 19,vaccine [14] public,health [13] caused,throw [13] people,keep [13] little,bit [13] crawling,under [13] throw,little [13] keep,crawling Top Word Pairs in Tweet in G7:
[18] covid,19 [8] breaking,florida [8] approves,desantis [8] vaccine,manufacturers [8] investigate,mrna [8] jury,investigate [8] supreme,court [8] mrna,covid [8] florida,supreme [8] court,approves Top Word Pairs in Tweet in G8:
[132] manuelrico,hoy [111] ayuso,aprobó [111] aprobó,protocolo [111] gobierno,ayuso [111] días,gobierno [111] trasladar,hospital [111] impedía,trasladar [111] protocolo,impedía [110] hospital,residentes [102] residentes,vulner Top Word Pairs in Tweet in G9:
[13] allemagne,données [13] covid,19 [11] d'assurés,révèlent [11] multipliée,par [11] mort,subite [11] 10,allemagne [11] subite,multipliée [11] millions,d'assurés [11] par,10 [11] 72,millions Top Word Pairs in Tweet in G10:
[51] grand,jury [51] supreme,court [51] florida,supreme [51] investigate,mrna [51] jury,investigate [41] mrna,covid [28] covid,19 [25] vaccine,manufacturers [25] 19,vaccine [23] desantis,grand Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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 G10: