The graph represents a network of 8,491 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 June 2022 at 09:06 UTC.
The requested start date was Friday, 03 June 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, 1-hour, 17-minute period from Tuesday, 31 May 2022 at 11:08 UTC to Thursday, 02 June 2022 at 12:25 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 : 8491
Unique Edges : 4088
Edges With Duplicates : 11257
Total Edges : 15345
Number of Edge Types : 5
Retweet : 4936
MentionsInRetweet : 5546
Tweet : 2720
Replies to : 502
Mentions : 1641
Self-Loops : 2824
Reciprocated Vertex Pair Ratio : 0.00524153562827596
Reciprocated Edge Ratio : 0.0104284103720406
Connected Components : 2199
Single-Vertex Connected Components : 1088
Maximum Vertices in a Connected Component : 1152
Maximum Edges in a Connected Component : 2553
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.959269
Graph Density : 9.84344401797843E-05
Modularity : 0.520036
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,491 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 June 2022 at 09:06 UTC.
The requested start date was Friday, 03 June 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, 1-hour, 17-minute period from Tuesday, 31 May 2022 at 11:08 UTC to Thursday, 02 June 2022 at 12:25 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 : Coronavirus
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:
[692] covid,19 [223] vaccine,mandate [220] mandate,air [220] air,travellers [220] travellers,employees [220] employees,needs [220] needs,dropped [220] dropped,vaccines [220] vaccines,preventing [220] preventing,spreading Top Word Pairs in Tweet in G1:
[159] covid,19 [37] #coronavirus,#covid19 [30] coronavirus,pandemic [27] covid,cases [23] long,covid [22] #covid19,#coronavirus [20] contra,coronavirus [18] coronavirus,cases [18] nuovi,casi [18] #news,#coronavirus Top Word Pairs in Tweet in G2:
[217] vaccine,mandate [215] mandate,air [215] air,travellers [215] travellers,employees [215] employees,needs [215] needs,dropped [215] dropped,vaccines [215] vaccines,preventing [215] preventing,spreading [214] ahoensbroech,vaccine Top Word Pairs in Tweet in G3:
[138] breaking,news [138] government,quietly [138] quietly,withdrawn [138] healthcare,setting [114] news,government [114] withdrawn,c19 [114] c19,healthcare [114] setting,guidance [114] guidance,longer [113] ukmfa1,breaking Top Word Pairs in Tweet in G4:
[43] impfchampion,portugal [43] portugal,jahr [43] jahr,deutlich [43] deutlich,mehr [43] mehr,coronatote [43] coronatote,deutschland [43] deutschland,schutz [43] schutz,tod [42] shomburg,impfchampion [42] tod,letz Top Word Pairs in Tweet in G5:
[158] flash,étude [158] étude,pilotée [158] pilotée,par [158] par,chu [158] chu,#angers [158] #angers,confirme [158] confirme,utilité [158] utilité,vitamine [158] vitamine,contre [158] contre,#covid19 Top Word Pairs in Tweet in G6:
[85] coronavirus,cases [82] medriva,breaking [68] breaking,reports [68] reports,more [68] more,260 [68] 260,000 [68] 000,coronavirus [68] cases,highest [68] highest,february [22] covid,19 Top Word Pairs in Tweet in G7:
[4] blood,clotting [4] clotting,mrna [4] mrna,poison [4] poison,fucking [4] fucking,coronavirus [4] coronavirus,r3tard [4] r3tard,believes [4] believes,wise [3] cush53,shitsgigglesng1 [3] gerarddelaney39,jondonson172 Top Word Pairs in Tweet in G8:
[59] covid,19 [56] latest,data [56] data,prevalence [56] prevalence,ongoing [56] ongoing,symptoms [56] symptoms,following [56] following,coronavirus [56] coronavirus,covid [56] 19,infection [56] infection,uk Top Word Pairs in Tweet in G9:
[27] #coronavirus,#covid19 [23] क,र [22] र,न [22] recuperados,cierra [22] cierra,junio [22] junio,2022 [22] 2022,cuanto [22] cuanto,avance [22] avance,#coronavirus [22] casos,recuperados Top Word Pairs in Tweet in G10:
[74] know,media [74] media,82 [74] 82,vax [74] vax,toddler [74] toddler,covid [74] covid,88 [74] 88,longer [74] longer,fear [74] fear,covid [73] robber_baron_,know Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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: