The graph represents a network of 7,839 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 September 2020 at 08:45 UTC.
The requested start date was Wednesday, 02 September 2020 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, 8-hour, 45-minute period from Sunday, 30 August 2020 at 15:15 UTC to Wednesday, 02 September 2020 at 00:00 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 : 7839
Unique Edges : 3176
Edges With Duplicates : 12470
Total Edges : 15646
Number of Edge Types : 5
Tweet : 1165
Retweet : 5696
MentionsInRetweet : 6525
Replies to : 684
Mentions : 1576
Self-Loops : 1194
Reciprocated Vertex Pair Ratio : 0.00466818067120868
Reciprocated Edge Ratio : 0.00929298003265101
Connected Components : 976
Single-Vertex Connected Components : 388
Maximum Vertices in a Connected Component : 4726
Maximum Edges in a Connected Component : 10868
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.072009
Graph Density : 0.00012960172801436
Modularity : 0.505043
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,839 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 September 2020 at 08:45 UTC.
The requested start date was Wednesday, 02 September 2020 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, 8-hour, 45-minute period from Sunday, 30 August 2020 at 15:15 UTC to Wednesday, 02 September 2020 at 00:00 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 : NCoV
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:
[1449] covid,19 [620] differences,between [458] rnc,speech [458] speech,biggest [458] biggest,stage [458] stage,23m [458] 23m,watched [458] watched,question [458] question,trump [458] trump,choose Top Word Pairs in Tweet in G1:
[781] covid,19 [481] differences,between [327] slow,spread [316] help,slow [315] symptoms,key [314] share,many [314] many,symptoms [314] key,differences [313] #covid19,seasonal [307] between,two Top Word Pairs in Tweet in G2:
[193] contacto,estrecho [181] datos,#covid19 [174] #covid19,españa [152] considera,contacto [152] positivo,#covid19 [152] #covid19,protección [152] protección,distancia [149] saludpublicaes,considera [142] distancia,15 [140] estrecho,estar Top Word Pairs in Tweet in G3:
[447] rnc,speech [447] speech,biggest [447] biggest,stage [447] stage,23m [447] 23m,watched [447] watched,question [447] question,trump [447] trump,choose [447] choose,socially [447] socially,distance Top Word Pairs in Tweet in G4:
[146] covid,19 [30] learn,more [24] 2019,ncov [21] seasonal,allergies [21] protect,yourself [19] spread,covid [18] face,cover [17] slow,spread [15] yourself,others [14] wear,mask Top Word Pairs in Tweet in G5:
[313] covid,deaths [313] deaths,50 [312] case,missed [312] missed,ontario [312] ontario,admitted [312] admitted,inflating [312] inflating,reported [312] reported,covid [312] 50,took [312] took,screenshot Top Word Pairs in Tweet in G6:
[266] help,protect [114] #covid19,seasonal [114] share,many [114] many,symptoms [114] symptoms,key [114] wear,mask [112] differences,between [111] #wearamask,help [107] key,differences [107] between,two Top Word Pairs in Tweet in G7:
[5] covid,19 [4] portpjl,raeanon [4] raeanon,ortainedevian [4] ortainedevian,sjorolan [4] sjorolan,cylantjustice [4] cylantjustice,missesj3 [4] missesj3,lenlucas46 [4] lenlucas46,slavewar [4] slavewar,maca691 [4] maca691,michaelnp1701 Top Word Pairs in Tweet in G8:
[149] health,services [69] pulse,survey [60] nearly,country [60] seen,health [58] study,shows [58] shows,nearly [58] services,disrupted [58] disrupted,#covid19 [56] essential,health [53] country,earth Top Word Pairs in Tweet in G9:
[57] els,brots [56] ús,mascareta [56] mascareta,accediu [56] accediu,centre [56] centre,amb [56] amb,febre [56] febre,símptomes [56] símptomes,#covid19 [56] #covid19,renteu [56] renteu,sovint Top Word Pairs in Tweet in G10:
[149] trump,years [149] years,ago [149] ago,basic [149] basic,duty [149] duty,government [149] government,defend [149] defend,lives [149] lives,citizens [149] citizens,government [149] government,fails Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: