The graph represents a network of 9,560 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 July 2022 at 07:23 UTC.
The requested start date was Friday, 01 July 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, 12-minute period from Tuesday, 28 June 2022 at 12:05 UTC to Thursday, 30 June 2022 at 12:17 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 : 9560
Unique Edges : 4750
Edges With Duplicates : 12084
Total Edges : 16834
Number of Edge Types : 5
Retweet : 5555
MentionsInRetweet : 6464
Tweet : 2688
Mentions : 1731
Replies to : 396
Self-Loops : 2736
Reciprocated Vertex Pair Ratio : 0.00541538461538462
Reciprocated Edge Ratio : 0.0107724323662627
Connected Components : 2514
Single-Vertex Connected Components : 1000
Maximum Vertices in a Connected Component : 938
Maximum Edges in a Connected Component : 1949
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 8.909844
Graph Density : 8.93919769797877E-05
Modularity : 0.544606
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,560 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 July 2022 at 07:23 UTC.
The requested start date was Friday, 01 July 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, 12-minute period from Tuesday, 28 June 2022 at 12:05 UTC to Thursday, 30 June 2022 at 12:17 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-19
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:
[6498] covid,19 [1716] ม,แพ [580] ออกมาว,า [572] คนไข,ท [572] ท,เป [572] เป,นภ [572] นภ,ม [572] แพ,ท [572] ท,งภ [572] งภ,ม Top Word Pairs in Tweet in G1:
[947] covid,19 [41] 19,vaccine [35] 19,pandemic [28] contra,covid [28] #covid,19 [25] positive,covid [22] casos,covid [18] 19,cases [16] 19,vaccines [16] during,covid Top Word Pairs in Tweet in G2:
[1716] ม,แพ [580] ออกมาว,า [573] covid,19 [572] คนไข,ท [572] ท,เป [572] เป,นภ [572] นภ,ม [572] แพ,ท [572] ท,งภ [572] งภ,ม Top Word Pairs in Tweet in G3:
[191] covid,19 [141] มาร,วมส [141] วมส,งกำล [141] งกำล,งใจให [141] งใจให,เจฟ [141] เจฟ,ซาเตอร [141] ซาเตอร,jeffsatur [141] jeffsatur,หายป [141] หายป,วยจาก [141] วยจาก,covid Top Word Pairs in Tweet in G4:
[191] covid,19 [81] 19,venezuela [73] contra,covid [64] venezuela,registra [57] últimas,24 [57] 24,horas [56] lucha,contra [54] nuevos,contagios [49] contagios,últimas [42] vtvcanal8,día Top Word Pairs in Tweet in G5:
[77] covid,19 [42] doctors,canada's [42] canada's,federal [42] federal,covid [42] 19,policies [42] policies,need [42] need,go [39] opinion,doctors [39] booster,shot [38] let's,make Top Word Pairs in Tweet in G6:
[133] ยวก,บผลตรวจ [133] บผลตรวจ,covid [133] covid,19 [131] ประกาศเก,ยวก [129] bnk48official,ประกาศเก [113] 19,ของสมาช [113] ของสมาช,ก [113] ก,bnk48 [113] bnk48,ต [113] ต,อไปน Top Word Pairs in Tweet in G7:
[109] covid,19 [58] scotland,msps [58] msps,voted [58] voted,make [58] make,emergency [58] emergency,covid [58] 19,powers [58] powers,permanent [58] permanent,incl [58] incl,ability Top Word Pairs in Tweet in G8:
[47] covid,19 [16] schade,die [16] die,präsidentin [16] präsidentin,europäischen [16] europäischen,kommission [16] kommission,ursula [16] ursula,leyen [16] leyen,mehr [16] mehr,besitz [16] besitz,textnachrichten Top Word Pairs in Tweet in G9:
[97] はいはーい,持続化給付金を不正受給した人はhpに公表されてますよ [97] 持続化給付金を不正受給した人はhpに公表されてますよ,持続化給付金の不正受給者の認定及び公表について [97] 持続化給付金の不正受給者の認定及び公表について,meti [97] meti,経済産業省 [96] tigerkittymom,はいはーい Top Word Pairs in Tweet in G10:
[23] covid,19 [23] pfizer,trial [23] trial,data [22] gov,advise [22] advise,pregnant [22] pregnant,women [22] women,jabs [22] jabs,safe [22] safe,pfizer [22] data,shows Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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:
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 G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: