The graph represents a network of 11,638 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, 07 July 2021 at 07:48 UTC.
The requested start date was Wednesday, 07 July 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 Sunday, 04 July 2021 at 12:20 UTC to Tuesday, 06 July 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 : 11638
Unique Edges : 6496
Edges With Duplicates : 11726
Total Edges : 18222
Number of Edge Types : 5
Retweet : 5283
MentionsInRetweet : 6030
Tweet : 3742
Replies to : 951
Mentions : 2216
Self-Loops : 3794
Reciprocated Vertex Pair Ratio : 0.00421796625626995
Reciprocated Edge Ratio : 0.00840049948915881
Connected Components : 3708
Single-Vertex Connected Components : 1111
Maximum Vertices in a Connected Component : 1043
Maximum Edges in a Connected Component : 2359
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.223455
Graph Density : 6.50439972542262E-05
Modularity : 0.56473
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,638 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, 07 July 2021 at 07:48 UTC.
The requested start date was Wednesday, 07 July 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 Sunday, 04 July 2021 at 12:20 UTC to Tuesday, 06 July 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:
[2894] covid,19 [203] contra,covid [170] long,covid [159] positive,covid [129] covid,cases [128] 19,vaccine [119] tested,positive [95] fully,vaccinated [90] delta,variant [89] due,covid Top Word Pairs in Tweet in G1:
[503] covid,19 [75] #dreadfulcovidamidmilitarycoup,#whatshappeninginmyanmar [73] #whatshappeninginmyanmar,#july6coup [68] despite,high [68] high,prevalence [68] prevalence,covid [68] residents,kale [68] kale,town [68] against,sac [68] sac,dictatorship Top Word Pairs in Tweet in G2:
[61] long,covid [46] covid,cases [21] 000,covid [20] 100,000 [19] learn,live [19] live,covid [15] due,covid [14] covid,19 [13] mail,sunday [13] herd,immunity Top Word Pairs in Tweet in G3:
[51] indonesian,friends [49] faheemyounus,indonesian [48] friends,milk [48] milk,vitamins [48] vitamins,ivermectin [48] ivermectin,role [48] role,covid [48] covid,treatment [48] treatment,susu [48] susu,ini Top Word Pairs in Tweet in G4:
[28] covid,19 [14] due,covid [9] taking,precautions [8] indian,civilization [8] civilization,considers [8] considers,whole [8] whole,world [8] family,pandemic [8] pandemic,made [8] made,many Top Word Pairs in Tweet in G5:
[97] covid,19 [78] jenazah,tidak [78] tidak,dibenarkan [78] dibenarkan,dibawa [78] dibawa,ke [78] ke,rumah [78] rumah,kerana [78] kerana,sop [78] sop,ketat [78] ketat,kes Top Word Pairs in Tweet in G6:
[84] covid,19 [31] saat,ini [20] ini,kita [20] kita,jdi [20] jdi,ditampar [20] ditampar,betul [20] betul,dengan [20] dengan,keadaan [20] keadaan,sakit [20] sakit,itu Top Word Pairs in Tweet in G7:
[15] sajid,javid [13] labour,little [13] little,disparate [13] disparate,statements [13] statements,masks [13] masks,financial [13] financial,help [13] help,isolation [13] isolation,etc [13] etc,welcome Top Word Pairs in Tweet in G8:
[30] covid,19 [10] 19,pariwar [10] pariwar,aarthik [10] aarthik,sahayata [9] cm,arvindkejriwal [9] families,lost [8] व,र [8] 'mukhyamantri,covid [7] arvindkejriwal,launches [7] social,security Top Word Pairs in Tweet in G9:
[38] ini,aku [38] aku,bikin [38] bikin,web [38] web,terpusat [38] terpusat,untuk [38] untuk,crowdsourcing [38] crowdsourcing,info [38] info,yg [38] yg,dpt [38] dpt,membantu Top Word Pairs in Tweet in G10:
[48] bible,experts [48] experts,determine [48] determine,goliath [48] goliath,died [48] died,covid [48] covid,19 [47] thebabylonbee,bible 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: