The graph represents a network of 11,362 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 Wednesday, 25 May 2022 at 07:47 UTC.
The requested start date was Wednesday, 25 May 2022 at 00:01 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, 4-minute period from Sunday, 22 May 2022 at 12:15 UTC to Tuesday, 24 May 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 : 11362
Unique Edges : 6541
Edges With Duplicates : 11569
Total Edges : 18110
Number of Edge Types : 5
Retweet : 5232
MentionsInRetweet : 6172
Tweet : 2890
Replies to : 1200
Mentions : 2616
Self-Loops : 2926
Reciprocated Vertex Pair Ratio : 0.00499840476443688
Reciprocated Edge Ratio : 0.00994708994708995
Connected Components : 3141
Single-Vertex Connected Components : 955
Maximum Vertices in a Connected Component : 1825
Maximum Edges in a Connected Component : 3835
Maximum Geodesic Distance (Diameter) : 44
Average Geodesic Distance : 13.468648
Graph Density : 7.32083238840367E-05
Modularity : 0.58568
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,362 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 Wednesday, 25 May 2022 at 07:47 UTC.
The requested start date was Wednesday, 25 May 2022 at 00:01 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, 4-minute period from Sunday, 22 May 2022 at 12:15 UTC to Tuesday, 24 May 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:
[1657] covid,19 [332] long,covid [185] manuelrico,hoy [179] covid,tests [163] covid,vaccine [160] biden,cdc [160] cdc,requires [160] requires,covid [160] tests,citizens [160] citizens,return Top Word Pairs in Tweet in G1:
[239] covid,19 [18] during,covid [17] monkey,pox [17] pfizer,covid [14] covid,shots [13] covid,vaccine [13] children,under [12] long,covid [12] casos,covid [12] 19,vaccine Top Word Pairs in Tweet in G2:
[40] covid,19 [31] effets,secondaires [29] 17,000 [23] variole,singe [23] contre,covid [22] sommet,scientifique [22] scientifique,mondial [22] mondial,covid [22] covid,mai [22] mai,2022 Top Word Pairs in Tweet in G3:
[35] express,more [35] more,clearly [35] clearly,borisjohnson [35] borisjohnson,law [35] law,breaking [35] breaking,matters [35] matters,please [35] please,read [35] read,please [35] please,don Top Word Pairs in Tweet in G4:
[160] biden,cdc [160] cdc,requires [160] requires,covid [160] covid,tests [160] tests,citizens [160] citizens,return [160] return,country [160] country,abroad [160] abroad,strand [159] bucksexton,biden Top Word Pairs in Tweet in G5:
[15] saw,jake [15] jake,tapper [15] tapper,tested [15] tested,positive [15] positive,covid [15] covid,recently [15] recently,refused [15] refused,isolate [15] isolate,staff [15] staff,made Top Word Pairs in Tweet in G6:
[185] manuelrico,hoy [143] días,gobierno [143] gobierno,ayuso [143] ayuso,aprobó [143] aprobó,protocolo [143] protocolo,impedía [143] impedía,trasladar [143] trasladar,hospital [143] hospital,residentes [137] residentes,vulnerab Top Word Pairs in Tweet in G7:
[94] long,covid [81] today,officially [81] officially,long [81] covid,recognized [81] recognized,cdc [81] cdc,wanna [81] wanna,take [81] take,second [81] second,explain [81] explain,happening Top Word Pairs in Tweet in G8:
[69] old,enough [69] enough,remember [69] remember,david [69] david,perdue [69] perdue,secretly [69] secretly,sold [69] sold,millions [69] millions,dollars [69] dollars,worth [69] worth,stocks Top Word Pairs in Tweet in G9:
[17] covid,19 [13] covid,vaccine [9] drugmaker,astrazeneca [9] astrazeneca,covid [9] vaccine,vaxzevria [9] vaxzevria,approved [9] approved,european [9] european,union [9] union,bloc's [9] bloc's,drugs Top Word Pairs in Tweet in G10:
[20] covid,19 [11] generated,media [11] media,coverage [11] coverage,generated [11] generated,ton [11] ton,two [11] two,columbia [11] columbia,professors [11] professors,write [11] write,essay 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:
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Top Mentioned in G6:
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:
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Top Tweeters in G5:
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Top Tweeters in G10: