The graph represents a network of 4,171 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 Monday, 10 May 2021 at 09:52 UTC.
The requested start date was Monday, 10 May 2021 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 13-day, 11-hour, 50-minute period from Monday, 26 April 2021 at 00:42 UTC to Sunday, 09 May 2021 at 12:33 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 : 4171
Unique Edges : 1893
Edges With Duplicates : 6138
Total Edges : 8031
Number of Edge Types : 5
Tweet : 402
Retweet : 2729
MentionsInRetweet : 3238
Mentions : 1302
Replies to : 360
Self-Loops : 414
Reciprocated Vertex Pair Ratio : 0.003382949932341
Reciprocated Edge Ratio : 0.00674308833445718
Connected Components : 431
Single-Vertex Connected Components : 158
Maximum Vertices in a Connected Component : 2529
Maximum Edges in a Connected Component : 5912
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.02663
Graph Density : 0.000255791530764839
Modularity : 0.546651
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,171 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 Monday, 10 May 2021 at 09:52 UTC.
The requested start date was Monday, 10 May 2021 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 13-day, 11-hour, 50-minute period from Monday, 26 April 2021 at 00:42 UTC to Sunday, 09 May 2021 at 12:33 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:
[1435] sars,cov [356] scientific,brief [259] covid,19 [246] cov,transmission [230] brief,sars [208] インド株,二重変異 [208] 二重変異,などの言葉が飛び交っています [208] などの言葉が飛び交っています,この変異株 [208] この変異株,617系統 [208] 617系統,は Top Word Pairs in Tweet in G1:
[183] centers,disease [183] disease,control [183] control,prevention [183] prevention,states [183] states,explicitly [183] explicitly,large [183] large,bold [183] bold,lettering [183] lettering,airborne [183] airborne,virus Top Word Pairs in Tweet in G2:
[88] cdcgov,finalmente [88] finalmente,riconosce [88] riconosce,trasmissione [88] trasmissione,#sarscov2 [88] #sarscov2,avviene [88] avviene,tramite [88] tramite,#aerosol [88] #aerosol,oltre [88] oltre,metri [88] metri,ambienti Top Word Pairs in Tweet in G3:
[140] sars,cov [133] cov,transmet [133] transmet,1er [133] 1er,par [133] par,inhalation [133] inhalation,très [133] très,petites [133] petites,gouttes [133] gouttes,#aerosols [133] #aerosols,indique Top Word Pairs in Tweet in G4:
[182] sars,cov [97] transmission,sars [95] cdcが感染伝播様式を再改定,太字で [95] 太字で,ウィルスは6フィートを超えて大気に浮遊し [95] ウィルスは6フィートを超えて大気に浮遊し,吸入によって感染を引き起こすとしています [95] 吸入によって感染を引き起こすとしています,空気感染ですー [95] 空気感染ですー,transmission [94] mannie_ub,cdcが感染伝播様式を再改定 [94] cov,fr [43] scientific,brief Top Word Pairs in Tweet in G5:
[133] 原文での要旨として,近いと感染しやすい [133] 近いと感染しやすい,飛沫感染 [133] 飛沫感染,という推論が間違ってて [133] という推論が間違ってて,近いほうがエアロゾルも濃い [133] 近いほうがエアロゾルも濃い,空気感染も近いほうがリスク [133] 空気感染も近いほうがリスク,って理屈 [133] って理屈,ずっと放射線防護の遮蔽 [133] ずっと放射線防護の遮蔽,距離 [132] adultspotdiffer,原文での要旨として [132] 距離,時間の遮蔽以外の要素は似てるんだって言ってきたことと同 Top Word Pairs in Tweet in G6:
[182] sars,cov [180] インド株,二重変異 [180] 二重変異,などの言葉が飛び交っています [180] などの言葉が飛び交っています,この変異株 [180] この変異株,617系統 [180] 617系統,は [180] は,免疫性と感染性に関わる部分に変異があるが [180] 免疫性と感染性に関わる部分に変異があるが,その程度はまだ十分にはわかっていません [180] その程度はまだ十分にはわかっていません,感染研からの報告 [180] 感染研からの報告,超専門的ですが Top Word Pairs in Tweet in G7:
[86] sars,cov [20] cov,2の変異株b [19] 2の変異株b,617系統の検出について [16] covid,19 [15] chadox1,ncov [15] ncov,19 [11] cov,transmission [10] 2019,ncov [10] scientific,brief [9] brief,sars Top Word Pairs in Tweet in G8:
[117] 新型コロナは空気感染する,cdc [117] cdc,が認める [117] が認める,virus [117] virus,airborne [117] airborne,threat [117] threat,acknowledges [117] acknowledges,nyt [117] nyt,5月7日 [117] 5月7日,cdc [116] miakiza20100906,新型コロナは空気感染する Top Word Pairs in Tweet in G9:
[112] 空気感染をcdcが認めたといって騒いでいる人が増えている様子ですが,cdcのアップデートされたガイダンスはこれ [111] minesoh,空気感染をcdcが認めたといって騒いでいる人が増えている様子ですが [28] cdc,が空気感染を認めた [28] が空気感染を認めた,かどうか原文でチェックをね [28] かどうか原文でチェックをね,認めた [28] 認めた,と言い切った人は切っていいですよね [27] minesoh,cdc [17] sars,cov [10] imamura_kansen,インド株 [10] インド株,二重変異 Top Word Pairs in Tweet in G10:
[7] sars,ncov [5] burgerlab12,numbers_truth [5] angelifrankie,ds13_manon [5] ds13_manon,bryanvilleneuve [5] bryanvilleneuve,carolhakios [5] carolhakios,jamie83107302 [5] cjbowden1,kathmarval [5] kathmarval,_drcjm_ [5] _drcjm_,lilelectronblue [5] lilelectronblue,and_nothingelse Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: