The graph represents a network of 11,781 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 Friday, 28 May 2021 at 07:57 UTC.
The requested start date was Friday, 28 May 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, 1-minute period from Tuesday, 25 May 2021 at 12:21 UTC to Thursday, 27 May 2021 at 12:22 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 : 11781
Unique Edges : 6498
Edges With Duplicates : 12458
Total Edges : 18956
Number of Edge Types : 5
Retweet : 5690
MentionsInRetweet : 6658
Tweet : 3472
Replies to : 763
Mentions : 2373
Self-Loops : 3503
Reciprocated Vertex Pair Ratio : 0.00434736507263281
Reciprocated Edge Ratio : 0.00865709459459459
Connected Components : 3485
Single-Vertex Connected Components : 887
Maximum Vertices in a Connected Component : 1092
Maximum Edges in a Connected Component : 2457
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 8.668331
Graph Density : 6.82518209732831E-05
Modularity : 0.571937
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,781 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 Friday, 28 May 2021 at 07:57 UTC.
The requested start date was Friday, 28 May 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, 1-minute period from Tuesday, 25 May 2021 at 12:21 UTC to Thursday, 27 May 2021 at 12:22 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:
[2836] covid,19 [227] contra,covid [203] 19,vaccine [186] cpi,covid [147] covid,vaccine [137] tahu,tak [136] korang,tahu [133] care,homes [127] dominic,cummings [123] wuhan,lab Top Word Pairs in Tweet in G1:
[323] covid,19 [30] contra,covid [23] covid,vaccine [23] 19,vaccine [16] moderna,covid [14] cpi,covid [12] pfizer,biontech [10] kids,young [10] young,12 [10] vaccination,covid Top Word Pairs in Tweet in G2:
[75] covid,19 [17] india,covid [13] #kisanandolan,allowing [13] allowing,such [13] such,protest [13] protest,covid [13] covid,such [13] such,super [13] super,spreader [13] spreader,events Top Word Pairs in Tweet in G3:
[39] care,homes [36] shield,around [33] rhetoric,put [33] put,shield [31] cummings,government [30] homes,complete [22] government,rhetoric [20] back,care [20] bethrigby,cummings [18] around,people Top Word Pairs in Tweet in G4:
[104] guys,kakak [104] kakak,ipar [104] ipar,aku [104] aku,positif [104] positif,covid [104] covid,still [104] still,kena [104] kena,covid [104] covid,complete [104] complete,vaccine Top Word Pairs in Tweet in G5:
[84] kes,covid [52] covid,19 [39] housemates,dah [39] dah,orang [39] orang,ambil [39] ambil,astrazeneca [39] astrazeneca,alhamdulillah [39] alhamdulillah,semua [39] semua,sihat [39] sihat,masih Top Word Pairs in Tweet in G6:
[66] inspite,covid [66] covid,war [66] war,situation [66] situation,israel [66] israel,urgently [66] urgently,send [66] send,four [66] four,advanced [66] advanced,heron [66] heron,drones Top Word Pairs in Tweet in G7:
[53] covid,19 [32] science,reporter [32] reporter,york [32] york,times [32] times,calls [32] calls,herself [32] herself,investigative [32] investigative,reporter [32] reporter,covering [32] covering,covid Top Word Pairs in Tweet in G8:
[38] 35,000 [38] 000,exceess [38] exceess,care [38] care,home [38] home,deaths [38] deaths,first [38] first,two [38] two,months [38] months,pandemic [38] pandemic,scale Top Word Pairs in Tweet in G9:
[30] covid,19 [13] 100,000 [12] 19,vaccine [11] stunning,progress [11] progress,number [11] number,people [11] people,hospitalized [11] hospitalized,covid [11] covid,down [11] down,100 Top Word Pairs in Tweet in G10:
[45] covid,19 [35] please,spread [35] spread,word [35] word,24 [35] 24,until [35] until,july [35] july,uber [35] uber,lyft [35] lyft,offer [35] offer,everyone 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:
Top Tweeters in G1:
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Top Tweeters in G10: