The graph represents a network of 9,632 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 Thursday, 12 May 2022 at 07:20 UTC.
The requested start date was Thursday, 12 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, 14-minute period from Monday, 09 May 2022 at 12:03 UTC to Wednesday, 11 May 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 : 9632
Unique Edges : 5593
Edges With Duplicates : 11454
Total Edges : 17047
Number of Edge Types : 5
Retweet : 5033
MentionsInRetweet : 5977
Tweet : 3073
Replies to : 537
Mentions : 2427
Self-Loops : 3167
Reciprocated Vertex Pair Ratio : 0.00963297158883063
Reciprocated Edge Ratio : 0.0190821256038647
Connected Components : 2804
Single-Vertex Connected Components : 1200
Maximum Vertices in a Connected Component : 786
Maximum Edges in a Connected Component : 1745
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.204863
Graph Density : 8.92570399226473E-05
Modularity : 0.551444
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,632 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 Thursday, 12 May 2022 at 07:20 UTC.
The requested start date was Thursday, 12 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, 14-minute period from Monday, 09 May 2022 at 12:03 UTC to Wednesday, 11 May 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:
[5949] covid,19 [270] contra,covid [267] shut,down [253] year,old [248] 19,pandemic [241] taking,pfizer [240] breaking,gofundme [240] gofundme,shut [240] down,campaign [240] campaign,raise Top Word Pairs in Tweet in G1:
[1173] covid,19 [59] 19,pandemic [44] contra,covid [41] 19,vaccine [36] positive,covid [34] 19,cases [32] bill,gates [27] puan,presiden [27] presiden,kita [25] during,covid Top Word Pairs in Tweet in G2:
[236] breaking,gofundme [236] gofundme,shut [236] shut,down [236] down,campaign [236] campaign,raise [236] raise,money [236] money,year [236] year,old [236] old,girl [236] girl,injured Top Word Pairs in Tweet in G3:
[228] covid,19 [67] medidas,bioseguridad [65] cumplir,medidas [65] bioseguridad,combatir [65] combatir,covid [63] uso,adecuado [60] #prevención,uso [60] adecuado,mascarilla [60] mascarilla,indica [60] indica,métodos Top Word Pairs in Tweet in G4:
[85] ministre,santé [77] cour,suprême [76] l'espagne,désormais [76] désormais,9e [76] 9e,pays [76] pays,poursuivre [76] poursuivre,ministre [76] santé,justice [76] justice,gagner [76] gagner,cour Top Word Pairs in Tweet in G5:
[67] wef,organized [67] organized,crime [67] crime,syndicate [67] syndicate,creates [67] creates,chaos [67] chaos,help [67] help,infiltrated [67] infiltrated,government [67] government,officials [67] officials,steal Top Word Pairs in Tweet in G6:
[57] covid,19 [12] uganda,turkey [11] investment,trade [11] 19,testing [10] 19,vaccination [9] turkey,investment [9] mandatory,covid [8] vaccination,sites [7] trade,industry [7] testing,going Top Word Pairs in Tweet in G7:
[112] covid,19 [35] bill,gates [28] gates,tested [28] tested,positive [28] positive,covid [28] 19,experiencing [28] experiencing,mild [28] mild,symptoms [28] symptoms,adding [28] adding,fortunate Top Word Pairs in Tweet in G8:
[45] covid,19 [7] contra,covid [6] 12,18 [5] drericding,normanswan [5] #covid,19 [5] prosigue,#cuba [4] camagüey,reporta [4] reporta,16 [4] 16,casos [4] casos,covid Top Word Pairs in Tweet in G9:
[13] covid,19 [4] eretico_l,modamanager [4] modamanager,laperlaneranera [4] laperlaneranera,anna302478978 [4] anna302478978,smitarianna [4] smitarianna,lisargadata [4] lisargadata,victoria_wet [4] victoria_wet,silviofb66 [4] silviofb66,dorayak56884206 [4] chouhanshivraj,officeofssc Top Word Pairs in Tweet in G10:
[51] covid,19 [17] last,two [17] two,years [17] years,covid [17] 19,killed [17] killed,000 [17] 000,000 [17] 000,americans [17] americans,flu [17] flu,cdc Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: