The graph represents a network of 11,949 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, 24 December 2021 at 08:55 UTC.
The requested start date was Friday, 24 December 2021 at 01:01 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 6-day, 0-hour, 1-minute period from Friday, 17 December 2021 at 12:18 UTC to Thursday, 23 December 2021 at 12:19 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 : 11949
Unique Edges : 6639
Edges With Duplicates : 11561
Total Edges : 18200
Number of Edge Types : 5
Tweet : 3741
Retweet : 5351
MentionsInRetweet : 6088
Replies to : 1061
Mentions : 1959
Self-Loops : 3797
Reciprocated Vertex Pair Ratio : 0.00293553121824546
Reciprocated Edge Ratio : 0.00585387819430373
Connected Components : 3933
Single-Vertex Connected Components : 1009
Maximum Vertices in a Connected Component : 389
Maximum Edges in a Connected Component : 821
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.275524
Graph Density : 6.22204126493069E-05
Modularity : 0.576091
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,949 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, 24 December 2021 at 08:55 UTC.
The requested start date was Friday, 24 December 2021 at 01:01 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 6-day, 0-hour, 1-minute period from Friday, 17 December 2021 at 12:18 UTC to Thursday, 23 December 2021 at 12:19 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:
[1919] covid,19 [193] positive,covid [187] due,covid [169] boxing,day [164] covid,cases [163] contra,covid [158] pasaporte,covid [132] premier,league [107] tested,positive [106] covid,test Top Word Pairs in Tweet in G1:
[242] covid,19 [22] positive,covid [19] due,covid [18] covid,cases [17] contra,covid [15] boxing,day [13] pasaporte,covid [13] covid,test [13] rafael,nadal [11] positivo,covid Top Word Pairs in Tweet in G2:
[112] boxing,day [108] covid,19 [103] premier,league [82] due,covid [74] vs,leeds [71] wolves,vs [69] liverpool,vs [69] leeds,wolves [69] vs,watford [51] fixture,leeds Top Word Pairs in Tweet in G3:
[58] covid,19 [18] moderna,lab [13] lab,tests [13] tests,booster [13] booster,vaccine [13] vaccine,show [13] show,significantly [13] significantly,raises [13] raises,level [13] level,antibodies Top Word Pairs in Tweet in G4:
[17] covid,19 [6] due,covid [6] 19,cases [6] healthcare,workers [5] positive,test [5] nadhimzahawi,getintoteaching [4] died,due [4] covid,pass [4] ffp3,masks [4] borisjohnson,10downingstreet Top Word Pairs in Tweet in G5:
[52] covid,19 [37] laurent,toubiana [24] chiffres,rapportent [24] rapportent,40 [24] 40,malades [24] malades,semaine [24] semaine,100 [24] 100,000 [24] 000,habitants [24] habitants,france Top Word Pairs in Tweet in G6:
[28] friday,15th [28] 15th,2020 [28] 2020,pm [28] pm,held [28] held,minute [28] minute,silence [28] silence,ward [28] ward,throughout [28] throughout,hospital [28] hospital,memory Top Word Pairs in Tweet in G7:
[38] nfl,95 [38] 95,vaccinated [38] vaccinated,nba [38] nba,97 [38] 97,vaccinated [38] vaccinated,nhl [38] nhl,nearly [38] nearly,100 [38] 100,vaccinated [38] vaccinated,three Top Word Pairs in Tweet in G8:
[14] covid,19 [11] world,economic [11] economic,forum [11] forum,davos [11] davos,called [11] called,due [11] due,omicron [11] omicron,variant [11] variant,covid [11] 19,uk's Top Word Pairs in Tweet in G9:
[12] म,र [10] र,क [9] shelf,life [9] life,extension [9] extension,covaxin [9] covaxin,#covaxin [9] #covaxin,#covid19 [9] #covid19,#covid [9] #covid,#bharatbiotech [9] #bharatbiotech,#pandemic Top Word Pairs in Tweet in G10:
[16] covid,19 [10] patients,being [10] being,treated [9] treated,covid [8] weekly,breakdown [8] breakdown,hospital [8] hospital,patients [8] covid,vs [8] vs,those [8] those,covid 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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