The graph represents a network of 1,855 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 13 March 2021 at 12:24 UTC.
The requested start date was Saturday, 13 March 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 13-day, 10-hour, 41-minute period from Saturday, 27 February 2021 at 01:57 UTC to Friday, 12 March 2021 at 12:39 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 : 1855
Unique Edges : 1309
Edges With Duplicates : 1324
Total Edges : 2633
Number of Edge Types : 5
Retweet : 449
MentionsInRetweet : 686
Tweet : 208
Replies to : 369
Mentions : 921
Self-Loops : 218
Reciprocated Vertex Pair Ratio : 0.0087514585764294
Reciprocated Edge Ratio : 0.0173510699826489
Connected Components : 377
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 378
Maximum Edges in a Connected Component : 845
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.311952
Graph Density : 0.000502737579125196
Modularity : 0.664906
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1,855 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 13 March 2021 at 12:24 UTC.
The requested start date was Saturday, 13 March 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 13-day, 10-hour, 41-minute period from Saturday, 27 February 2021 at 01:57 UTC to Friday, 12 March 2021 at 12:39 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 : SARS-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:
[457] sars,cov [153] cov,の新規変異株について [152] 新型コロナウイルス,sars [144] 感染,伝播性の増加や抗原性の変化が懸念される [144] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [117] #covid19,#sarscov2 [112] covid,19 [92] thanks,#opendata [92] #opendata,sharing [92] sharing,gisaid Top Word Pairs in Tweet in G1:
[3] rancidginger,gregabbott_tx [2] cdc,actually [2] wearing,masks [2] cdc,website [2] co_hawk1,rancidginger [2] gregabbott_tx,dropped [2] dropped,school [2] school,huh [2] huh,scientific [2] scientific,brief Top Word Pairs in Tweet in G2:
[115] #covid19,#sarscov2 [91] thanks,#opendata [91] #opendata,sharing [91] sharing,gisaid [87] gisaid,we've [87] we've,updated [82] nextstrain,thanks [67] #sarscov2,sequences [50] covid,19 [50] scholars,portal Top Word Pairs in Tweet in G3:
[75] sars,cov [28] cov,の新規変異株について [27] 感染,伝播性の増加や抗原性の変化が懸念される [27] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [27] 新型コロナウイルス,sars [19] の新規変異株について,第7報 [12] covid,19 [10] 新型コロナウイルスsars,cov [10] cov,spikeタンパク質 [9] ncov,19 Top Word Pairs in Tweet in G4:
[8] hear,anyone [8] anyone,claim [8] know,virus [8] buy,well [8] well,labs [8] labs,around [8] around,globe [7] ydeigin,hear [6] sars,cov [6] 2019,ncov Top Word Pairs in Tweet in G5:
[72] sars,cov [71] 新型コロナウイルス,sars [71] cov,の新規変異株について [63] 感染,伝播性の増加や抗原性の変化が懸念される [63] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [61] の新規変異株について,第7報 [24] これは,感染 [24] 第7報,にあるのか [23] jun_makino,これは [17] 第7報,国立感染症研究所 Top Word Pairs in Tweet in G6:
[34] sars,cov [16] genomic,characterisation [16] characterisation,emergent [16] emergent,sars [16] cov,lineage [16] lineage,manaus [16] manaus,preliminary [16] preliminary,findings [16] findings,sars [16] cov,coronavirus Top Word Pairs in Tweet in G8:
[24] sars,cov [14] national,sars [13] cdcgov,updated [13] updated,national [13] cov,genomic [13] genomic,sequencing [13] sequencing,dashboard [13] dashboard,include [13] include,those [13] those,sequences Top Word Pairs in Tweet in G9:
[42] 感染,伝播性の増加や抗原性の変化が懸念される [42] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [42] 新型コロナウイルス,sars [42] sars,cov [42] cov,の新規変異株について [42] の新規変異株について,第6報 [42] 第6報,2021 [42] 2021,02 [42] 02,15国立感染症研究所 [41] bb45_colorado,感染 Top Word Pairs in Tweet in G10:
[20] five,mitigation [20] mitigation,strategies [20] strategies,reduce [19] droplets,drop [19] drop,#covidisairborne [19] #covidisairborne,today [19] today,march [19] march,2021 [19] 2021,cdc's [19] cdc's,top Top Replied-To in Entire Graph:
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Top Replied-To in G10:
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: