The graph represents a network of 5,073 Twitter users whose tweets in the requested range contained "#FlattenTheCurve", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 07 June 2020 at 07:54 UTC.
The requested start date was Sunday, 07 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 3-hour, 24-minute period from Wednesday, 03 June 2020 at 08:48 UTC to Saturday, 06 June 2020 at 12:12 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 : 5073
Unique Edges : 2088
Edges With Duplicates : 8201
Total Edges : 10289
Number of Edge Types : 5
Mentions : 1113
Retweet : 3574
MentionsInRetweet : 4269
Tweet : 1148
Replies to : 185
Self-Loops : 1181
Reciprocated Vertex Pair Ratio : 0.0122523994282214
Reciprocated Edge Ratio : 0.0242081904377648
Connected Components : 920
Single-Vertex Connected Components : 448
Maximum Vertices in a Connected Component : 2196
Maximum Edges in a Connected Component : 4763
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.294428
Graph Density : 0.000192652572131424
Modularity : 0.480943
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 5,073 Twitter users whose tweets in the requested range contained "#FlattenTheCurve", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 07 June 2020 at 07:54 UTC.
The requested start date was Sunday, 07 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 3-hour, 24-minute period from Wednesday, 03 June 2020 at 08:48 UTC to Saturday, 06 June 2020 at 12:12 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 : #FlattenTheCurve
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 G2:
[1678] covid,19 [1677] #socialdistancing,#flattenthecurve [1674] #covid19,#flattenthecurve [1674] social,distancing [1673] wear,face [1673] face,mask [1668] spread,coronavirus [1656] reduce,spread [1656] help,continue [7] continue,efforts Top Word Pairs in Tweet in G3:
[46] 285,cases [42] cases,death [34] covid,19 [29] dchhs,reports [26] reports,285 [22] death,today [22] today,saw [21] saw,highest [20] highest,number [20] number,cases Top Word Pairs in Tweet in G4:
[148] covid,19 [148] #gautengcovid19,#flattenthecurve [147] #flattenthecurve,#covid_19 [146] #covid_19,jacobmamabolosa [146] #sanitizingtaxis,#flattenthecurve [146] outsurancepta,trafficfreeflow [146] weren,finding [146] finding,over [146] over,80 [146] 80,positive Top Word Pairs in Tweet in G5:
[36] women,children [36] stigma,surrounding [15] madaci_ke,#flattenthecurve [14] survivors,gbv [13] #flattenthecurve,many [13] many,women [13] children,survivors [13] gbv,depend [13] depend,perpetrators [13] perpetrators,food Top Word Pairs in Tweet in G6:
[24] national,task [24] task,force [23] force,#covid19 [17] abdulla_shahid,national [13] join,kudanai [13] kudanai,5pm [13] 5pm,wednesday [13] wednesday,learn [13] learn,development [13] development,process Top Word Pairs in Tweet in G7:
[73] stacking,folding [73] folding,cutting [73] cutting,fully [71] fully,automated [40] automated,#mask [40] #mask,production [40] production,lines [40] lines,allowing [40] allowing,produce [40] produce,masks Top Word Pairs in Tweet in G8:
[73] 175,000 [73] 000,washable [73] washable,ply [73] ply,face [73] face,masks [73] masks,enroute [73] enroute,#navajonation [73] #navajonation,speak [73] speak,one [73] one,each Top Word Pairs in Tweet in G9:
[76] #flattenthecurve,#covid19 [76] #fluwatchers,normally [76] normally,track [76] track,#flu [76] #flu,#covid19 [76] #covid19,circulating [76] circulating,important [76] important,network [76] network,tracking [76] tracking,#covid19 Top Word Pairs in Tweet in G10:
[20] #covid19,ca [18] ca,region [18] region,county [18] county,tracker [18] pacotorresca,#covid19 [18] central,valley [18] lower,central [18] #stayhome,#flattenthecurve [18] placer,county [18] tracker,milestone Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: