The graph represents a network of 11,839 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, 26 October 2021 at 09:09 UTC.
The requested start date was Tuesday, 26 October 2021 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, 2-minute period from Saturday, 23 October 2021 at 12:17 UTC to Monday, 25 October 2021 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 : 11839
Unique Edges : 6871
Edges With Duplicates : 11651
Total Edges : 18522
Number of Edge Types : 5
Retweet : 5313
MentionsInRetweet : 6173
Tweet : 3402
Replies to : 1076
Mentions : 2558
Self-Loops : 3437
Reciprocated Vertex Pair Ratio : 0.00601773648648649
Reciprocated Edge Ratio : 0.0119634799034526
Connected Components : 3449
Single-Vertex Connected Components : 943
Maximum Vertices in a Connected Component : 1477
Maximum Edges in a Connected Component : 2988
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 10.15033
Graph Density : 6.79913979643622E-05
Modularity : 0.586708
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,839 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, 26 October 2021 at 09:09 UTC.
The requested start date was Tuesday, 26 October 2021 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, 2-minute period from Saturday, 23 October 2021 at 12:17 UTC to Monday, 25 October 2021 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:
[2329] covid,19 [225] contra,covid [161] covid,vaccine [154] americans,fry [154] fry,covid [153] abcdrih,americans [130] covid,cases [119] 19,vaccine [108] cpi,covid [108] end,covid Top Word Pairs in Tweet in G1:
[341] covid,19 [26] contra,covid [19] covid,vaccine [14] 19,vaccine [13] disaster,update [13] update,today [13] today,updatedisaster [13] updatedisaster,#earthquake [13] #earthquake,#deprem [13] #deprem,#terremoto Top Word Pairs in Tweet in G2:
[23] covid,19 [15] covid,cases [12] defy,anyone [12] anyone,government [12] government,ministers [12] ministers,included [12] included,read [12] read,exhaustive [12] exhaustive,report [12] report,state Top Word Pairs in Tweet in G3:
[154] americans,fry [154] fry,covid [153] abcdrih,americans Top Word Pairs in Tweet in G4:
[21] covid,19 [12] effets,indésirables [10] infirmières,quittent [10] quittent,l'hôpital [10] l'hôpital,vague [10] vague,démissions [10] démissions,s'est [10] s'est,accentuée [10] accentuée,#covid [10] énorme,manif Top Word Pairs in Tweet in G5:
[24] covid,19 [11] year,old [7] 19,vaccines [6] vaccine,misinformation [6] journalist,alex [6] alex,berenson [6] berenson,told [6] told,world [6] world,vaccinated [6] vaccinated,less Top Word Pairs in Tweet in G6:
[32] covid,19 [21] 100,crore [16] 19,vaccination [14] india,remarkable [12] time,stop [12] stop,undermining [12] undermining,government [12] government,efforts [11] shri,narendramodi [11] remarkable,covid Top Word Pairs in Tweet in G7:
[72] barroso,alertou [47] cpi,covid [37] crime,genocídio [36] urgente,barroso [36] alertou,cpi [36] cpi,crime [36] genocídio,não [36] não,sustentava [36] sustentava,barroso [36] alertou,aziz Top Word Pairs in Tweet in G8:
[44] covid,19 [19] uk,government [18] government,decide [18] decide,need [18] need,extra [18] extra,scientific [18] scientific,help [18] help,deal [18] deal,covid [18] 19,crisis Top Word Pairs in Tweet in G9:
[2] btw,intrigued [2] intrigued,krug [2] krug,reference [2] reference,rsv [2] rsv,covid [2] covid,turn [2] turn,article [2] article,jhowardbrainmd [2] jhowardbrainmd,see [2] doritmi,dcgreenzone1 Top Word Pairs in Tweet in G10:
[17] italy,facing [17] facing,over [17] over,16 [17] 16,workforce [17] workforce,being [17] being,unemployed [17] unemployed,banned [17] banned,working [17] working,unless [17] unless,comply Top Replied-To in Entire Graph:
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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: