The graph represents a network of 12,077 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 Tuesday, 19 January 2021 at 08:34 UTC.
The requested start date was Tuesday, 19 January 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 3-day, 0-hour, 0-minute period from Friday, 15 January 2021 at 13:46 UTC to Monday, 18 January 2021 at 13:47 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 : 12077
Unique Edges : 6959
Edges With Duplicates : 11929
Total Edges : 18888
Number of Edge Types : 5
Retweet : 5493
MentionsInRetweet : 6477
Tweet : 3543
Mentions : 2500
Replies to : 875
Self-Loops : 3581
Reciprocated Vertex Pair Ratio : 0.0047438330170778
Reciprocated Edge Ratio : 0.00944287063267233
Connected Components : 3808
Single-Vertex Connected Components : 991
Maximum Vertices in a Connected Component : 581
Maximum Edges in a Connected Component : 1310
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.10988
Graph Density : 6.53516111410873E-05
Modularity : 0.582488
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 12,077 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 Tuesday, 19 January 2021 at 08:34 UTC.
The requested start date was Tuesday, 19 January 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 3-day, 0-hour, 0-minute period from Friday, 15 January 2021 at 13:46 UTC to Monday, 18 January 2021 at 13:47 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:
[3023] covid,19 [538] contra,covid [204] covid,vaccine [181] 19,vaccine [161] tratamento,precoce [150] last,night [124] nurse,seattle [124] seattle,last [124] night,seattlepd [124] seattlepd,officers Top Word Pairs in Tweet in G1:
[367] covid,19 [43] contra,covid [23] covid,vaccine [20] 19,vaccine [11] due,covid [7] anti,covid [7] vacuna,contra [7] #covid,19 [7] 19,cases [7] tratamento,precoce Top Word Pairs in Tweet in G2:
[229] covid,19 [105] venezuela,decidida [104] decidida,cuidarse [100] cuidarse,#18ene [87] #cuarentenaconsciente,venezuela [84] etiqueta,día [82] día,#cuarentenaconsciente [76] contra,covid [71] #18ene,etiqueta [61] #18ene,#24ene Top Word Pairs in Tweet in G3:
[124] nurse,seattle [124] seattle,last [124] last,night [124] night,seattlepd [124] seattlepd,officers [124] officers,came [124] came,obtain [124] obtain,statement [124] statement,assault [124] assault,patient Top Word Pairs in Tweet in G4:
[46] covid,19 [26] contra,covid [20] reporte,#covid_19mx [20] #covid_19mx,#edoméx [16] alfredodelmazo,reporte [8] vacuna,pfizer [8] responsable,aumento [8] aumento,contagios [8] contagios,covd [8] covd,19 Top Word Pairs in Tweet in G5:
[38] covid,19 [27] science,behind [17] president,elect [14] climate,change [14] behind,covid [13] behind,climate [13] change,hoax [13] hoax,science [13] 19,partisan [13] partisan,president Top Word Pairs in Tweet in G6:
[112] live,covid [112] covid,times [112] times,believe [112] believe,used [112] used,go [112] go,work [112] work,cold [112] cold,normal [111] chelseasomba,live [6] contra,covid Top Word Pairs in Tweet in G7:
[30] covid,19 [14] think,narendramodi [14] narendramodi,wasn [14] wasn,leading [14] leading,country [14] following,threats [14] threats,happened [13] country,during [13] during,following [12] vivekagnihotri,think Top Word Pairs in Tweet in G8:
[30] covid,19 [12] miguel,uribe [10] subcuenta,covid [8] grupo,político [8] político,miguel [8] claudia,lópez [5] contra,covid [5] ivanduque,entregó [5] entregó,grupo [5] uribe,manejo Top Word Pairs in Tweet in G9:
[75] passed,away [75] away,covid [75] covid,yesterday [75] yesterday,afternoon [75] afternoon,26 [74] terry_kelly69,passed [14] kena,covid'' [14] covid'',''tak [14] ''tak,boleh [14] boleh,fokus Top Word Pairs in Tweet in G10:
[95] covid,true [95] true,killer [95] killer,far [95] far,killed [95] killed,flu [95] flu,cancer [95] cancer,heart [95] heart,disease [95] disease,killed [95] killed,ability Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: