The graph represents a network of 7,673 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 Friday, 07 August 2020 at 08:50 UTC.
The requested start date was Friday, 07 August 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, 14-hour, 26-minute period from Monday, 03 August 2020 at 21:56 UTC to Thursday, 06 August 2020 at 12:23 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 : 7673
Unique Edges : 3878
Edges With Duplicates : 11289
Total Edges : 15167
Number of Edge Types : 5
Retweet : 5032
MentionsInRetweet : 5949
Mentions : 1677
Replies to : 914
Tweet : 1595
Self-Loops : 1641
Reciprocated Vertex Pair Ratio : 0.00518962075848303
Reciprocated Edge Ratio : 0.0103256552819698
Connected Components : 1393
Single-Vertex Connected Components : 608
Maximum Vertices in a Connected Component : 3088
Maximum Edges in a Connected Component : 7733
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.498103
Graph Density : 0.000128322611130371
Modularity : 0.498772
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,673 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 Friday, 07 August 2020 at 08:50 UTC.
The requested start date was Friday, 07 August 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, 14-hour, 26-minute period from Monday, 03 August 2020 at 21:56 UTC to Thursday, 06 August 2020 at 12:23 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:
[760] covid,19 [540] masks,one [540] fight,against [538] one,powerful [538] powerful,weapons [538] weapons,fight [538] mask,re [470] #新型コロナウイルス,感染症情報 [465] ibaraki_kouhou,#新型コロナウイルス [422] wear,mask Top Word Pairs in Tweet in G1:
[523] masks,one [523] one,powerful [523] powerful,weapons [523] weapons,fight [523] fight,against [523] mask,re [343] #covid19,wearing [343] wearing,mask [342] against,#covid19 [339] cdcdirector,masks Top Word Pairs in Tweet in G2:
[206] covid,19 [63] 2019,ncov [38] learn,more [32] risk,severe [32] severe,illness [31] illness,covid [29] age,older [29] 19,increases [28] adults,risk [28] increases,age Top Word Pairs in Tweet in G3:
[468] #新型コロナウイルス,感染症情報 [463] ibaraki_kouhou,#新型コロナウイルス [171] また,同感染症患者1名が退院し [166] 感染症情報,8月4日 [166] 8月4日,本日 [166] 本日,新たに7名の新型コロナウイルス感染症患者が確認されました [166] 新たに7名の新型コロナウイルス感染症患者が確認されました,県内で感染が確認された人は334名となります [166] 県内で感染が確認された人は334名となります,また [166] また,同感染症患者6名が退院し [166] 同感染症患者6名が退院し,1名が自宅療養を終えました Top Word Pairs in Tweet in G4:
[161] datos,#covid19 [161] #covid19,españa [88] información,#coronavirus [87] actualización,datos [87] españa,materiales [87] materiales,información [83] sanidadgob,actualización [77] #coronavirus,ht [74] españa,primer [74] primer,caso Top Word Pairs in Tweet in G5:
[10] total,cases [9] august,2020 [9] 2020,total [9] cases,649 [7] covid,19 [7] whitehouse,potus [6] 47,576 [6] 576,cases [6] trebormoore,kurteichenwald [6] kurteichenwald,whitehouse Top Word Pairs in Tweet in G6:
[138] wear,mask [78] risk,#covid19 [73] planning,beach [73] beach,outing [73] outing,risk [73] #covid19,highest [73] highest,less [73] less,ft [73] ft,people [73] people,crowded Top Word Pairs in Tweet in G7:
[108] sars,cov [106] chadox1,ncov [106] ncov,19 [105] 19,vaccine [105] vaccine,against [105] against,sars [105] cov,currently [105] currently,undergoing [105] undergoing,human [105] human,clinical Top Word Pairs in Tweet in G8:
[41] preliminary,investigations [41] investigations,conducted [41] conducted,chinese [41] chinese,authorities [41] authorities,found [41] found,clear [41] clear,evidence [41] evidence,human [41] human,human [41] human,transmission Top Word Pairs in Tweet in G9:
[78] covid,19 [60] face,covering [54] total,covid [54] 19,case [54] case,count [54] count,tennessee [54] august,2020 [54] 2020,including [52] tndeptofhealth,total [42] covering,protects Top Word Pairs in Tweet in G10:
[56] inotanita,熊本で働くベトナム人技能実習生35人がコロナウイルスに感染のようです [10] #ベトナム,#新型コロナウイルス [8] 4月以降の札幌市の新型コロナの再流行の特徴,を [8] を,札幌市保健所山口先生がまとめてくれてます [8] 札幌市保健所山口先生がまとめてくれてます,山口先生は高校 [8] 山口先生は高校,大学の大先輩です [8] 大学の大先輩です,山口先生はfetpも出られてるんです [8] 山口先生はfetpも出られてるんです,母校は意外にも活躍されている感染症が多いんです [8] 母校は意外にも活躍されている感染症が多いんです,_ [8] người,đà Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: