The graph represents a network of 6,452 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 Monday, 21 September 2020 at 08:11 UTC.
The requested start date was Monday, 21 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 13-day, 6-hour, 53-minute period from Monday, 07 September 2020 at 17:01 UTC to Sunday, 20 September 2020 at 23:55 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 : 6452
Unique Edges : 2550
Edges With Duplicates : 12172
Total Edges : 14722
Number of Edge Types : 5
Retweet : 5261
MentionsInRetweet : 6045
Tweet : 1777
Replies to : 392
Mentions : 1247
Self-Loops : 1844
Reciprocated Vertex Pair Ratio : 0.00620251201736703
Reciprocated Edge Ratio : 0.0123285560178764
Connected Components : 1049
Single-Vertex Connected Components : 483
Maximum Vertices in a Connected Component : 3180
Maximum Edges in a Connected Component : 7880
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.635459
Graph Density : 0.000155903682517539
Modularity : 0.434917
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,452 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 Monday, 21 September 2020 at 08:11 UTC.
The requested start date was Monday, 21 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 13-day, 6-hour, 53-minute period from Monday, 07 September 2020 at 17:01 UTC to Sunday, 20 September 2020 at 23:55 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 Entire Graph:
[2911] covid,19 [2641] school,strike [2629] strike,week [2526] gretathunberg,school [2501] social,distance [2497] strike,remember [2497] remember,keep [2497] keep,social [2497] follow,covid [2496] distance,follow Top Word Pairs in Tweet in G1:
[2563] covid,19 [2469] strike,week [2468] school,strike [2438] gretathunberg,school [2412] strike,remember [2412] remember,keep [2412] keep,social [2412] social,distance [2412] distance,follow [2412] follow,covid Top Word Pairs in Tweet in G2:
[42] social,distancing [41] #covid19,#flattenthecurve [34] covid,19 [34] kids,bored [34] bored,practicing [34] practicing,social [31] distancing,make [24] #flattenthecurve,#socialdistancing [24] ginger_exchange,kids [24] die,angekündigten Top Word Pairs in Tweet in G3:
[79] #flattenthecurve,communities [79] communities,need [79] need,empowered [79] empowered,#covid19 [79] #covid19,#ipc [79] #ipc,health [79] health,info [79] info,helps [79] helps,one [79] one,boost Top Word Pairs in Tweet in G4:
[159] tell,26 [159] 26,team [159] team,laid [159] laid,tonight [159] tonight,amazing [159] amazing,people [159] people,heartbreaking [159] heartbreaking,both [158] paulcaddensaba,tell [158] both,saba Top Word Pairs in Tweet in G5:
[36] continue,work [33] kids,start [33] start,return [33] return,class [33] class,guard [33] guard,down [33] down,ontario [33] ontario,continue [33] continue,demonstrate [33] demonstrate,best Top Word Pairs in Tweet in G6:
[43] postal,workers [38] #covid19,#flattenthecurve [31] #flattenthecurve,#covid19 [27] city,columbia [27] message,importance [27] importance,wearing [27] wearing,face [27] face,mask [27] mask,need [27] need,go Top Word Pairs in Tweet in G7:
[161] school,strike [148] strike,week [78] gretathunberg,school [76] covid,19 [74] strike,remember [74] remember,keep [74] keep,social [74] social,distance [74] distance,follow [74] follow,covid Top Word Pairs in Tweet in G8:
[156] samples,tested [132] #covid19kn,update [132] september,2020 [132] results,received [132] received,today [125] knsmoh,#covid19kn [92] 2020,case [92] case,recorded [78] tested,today [78] today,kano Top Word Pairs in Tweet in G9:
[6] miob1781,beatesodeik [6] beatesodeik,ascotblack [6] ascotblack,cieseksandra [6] cieseksandra,brinkmannlab [6] brinkmannlab,chanasitjonas [6] chanasitjonas,c_drosten [6] c_drosten,eckerleisabella [6] eckerleisabella,nie [6] nie,die [5] thelone89293545,dirkburchard Top Word Pairs in Tweet in G10:
[60] die,medizinische [60] medizinische,versorgung [60] versorgung,bevölkerung [60] bevölkerung,bedroht [60] bedroht,weil [60] weil,die [60] die,mitarbeiter [60] mitarbeiter,gesundheitssystems [60] gesundheitssystems,besonderen [60] besonderen,belastungen Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G10: