The graph represents a network of 10,740 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 Thursday, 31 December 2020 at 08:25 UTC.
The requested start date was Thursday, 31 December 2020 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, 2-minute period from Monday, 28 December 2020 at 13:42 UTC to Wednesday, 30 December 2020 at 13:45 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 : 10740
Unique Edges : 5969
Edges With Duplicates : 12460
Total Edges : 18429
Number of Edge Types : 5
Tweet : 3658
Retweet : 5592
MentionsInRetweet : 6571
Mentions : 2155
Replies to : 453
Self-Loops : 3690
Reciprocated Vertex Pair Ratio : 0.00379572118702553
Reciprocated Edge Ratio : 0.00756273633551048
Connected Components : 3345
Single-Vertex Connected Components : 1077
Maximum Vertices in a Connected Component : 771
Maximum Edges in a Connected Component : 1860
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.205247
Graph Density : 7.56653163611355E-05
Modularity : 0.54824
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 10,740 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 Thursday, 31 December 2020 at 08:25 UTC.
The requested start date was Thursday, 31 December 2020 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, 2-minute period from Monday, 28 December 2020 at 13:42 UTC to Wednesday, 30 December 2020 at 13:45 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:
[7138] covid,19 [774] contra,covid [474] 19,vaccine [215] vacunas,sputnik [212] acuerdo,rusia [210] firma,acuerdo [209] venezuela,firma [208] rusia,adquirir [207] adquirir,vacunas [198] #sputnikvparaelpueblo,venezuela Top Word Pairs in Tweet in G1:
[911] covid,19 [77] 19,vaccine [62] contra,covid [19] 28,12 [19] casos,covid [17] 12,2020 [17] 19,pandemic [16] #covid,19 [14] 19,cases [14] vacunación,contra Top Word Pairs in Tweet in G2:
[437] covid,19 [211] contra,covid [207] vacunas,sputnik [205] acuerdo,rusia [203] firma,acuerdo [202] venezuela,firma [201] rusia,adquirir [199] adquirir,vacunas [193] #sputnikvparaelpueblo,venezuela [177] etiqueta,día Top Word Pairs in Tweet in G3:
[161] #ขอค,นไม [161] นไม,ได [161] ได,ขอทาน [138] ท,กคนคร [138] กคนคร,บ [138] บ,ฝากต [138] ฝากต,ดตามข [138] ดตามข,าว [138] าว,#ขอค [138] ขอทาน,ก Top Word Pairs in Tweet in G4:
[120] covid,19 [71] due,covid [66] due,date [62] date,extension [60] extension,problem [60] problem,faced [60] faced,people [60] people,due [59] 19,government [59] government,aware Top Word Pairs in Tweet in G5:
[101] covid,19 [13] 19,death [12] 000,deaths [11] 19,vaccine [11] luke,letlow [11] russia,admits [11] admits,having [11] having,world's [11] world's,third [11] third,worst Top Word Pairs in Tweet in G6:
[173] covid,19 [36] 19,vaccine [23] vaccinated,nurse [23] nurse,contracts [23] contracts,covid [23] 19,expert [23] expert,pfizer [23] pfizer,shot [23] shot,needed [23] needed,more Top Word Pairs in Tweet in G7:
[57] covid,19 [25] take,nothing [25] nothing,story [25] story,take [25] take,quote [25] quote,chicago [25] chicago,west [25] west,side [25] side,resident [25] resident,rochelle Top Word Pairs in Tweet in G8:
[51] covid,19 [32] trump,signed [32] employers,longer [32] longer,provide [32] provide,paid [32] paid,sick [24] luke,letlow [19] sick,leave [19] leave,workers [18] bill,donald Top Word Pairs in Tweet in G9:
[165] smtown,live [163] live,culture [163] culture,humanity [130] during,difficult [122] covid,19 [115] difficult,time [115] time,covid [114] 19,enjoy [114] enjoy,smtown [114] encourage,cheer Top Word Pairs in Tweet in G10:
[23] covid,19 [4] people,ontario [4] vaccine,rollout [3] ontario,finance [3] finance,minister [3] minister,rodphillips01 [3] rodphillips01,undermined [3] undermined,single [3] single,appeal [3] appeal,fordnation Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Tweeters in G10: