The graph represents a network of 6,353 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 Saturday, 19 September 2020 at 09:42 UTC.
The requested start date was Saturday, 19 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, 9-hour, 39-minute period from Saturday, 05 September 2020 at 14:14 UTC to Friday, 18 September 2020 at 23:53 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 : 6353
Unique Edges : 2450
Edges With Duplicates : 12114
Total Edges : 14564
Number of Edge Types : 5
Retweet : 5192
MentionsInRetweet : 5924
Mentions : 1209
Tweet : 1867
Replies to : 372
Self-Loops : 1938
Reciprocated Vertex Pair Ratio : 0.00689102564102564
Reciprocated Edge Ratio : 0.0136877287919784
Connected Components : 1062
Single-Vertex Connected Components : 497
Maximum Vertices in a Connected Component : 3163
Maximum Edges in a Connected Component : 7712
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.063483
Graph Density : 0.000155696093120884
Modularity : 0.427358
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,353 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 Saturday, 19 September 2020 at 09:42 UTC.
The requested start date was Saturday, 19 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, 9-hour, 39-minute period from Saturday, 05 September 2020 at 14:14 UTC to Friday, 18 September 2020 at 23:53 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:
[2848] covid,19 [2580] school,strike [2554] strike,week [2475] gretathunberg,school [2443] social,distance [2436] strike,remember [2436] remember,keep [2436] keep,social [2436] follow,covid [2435] distance,follow Top Word Pairs in Tweet in G1:
[2508] covid,19 [2402] school,strike [2402] strike,week [2377] gretathunberg,school [2358] strike,remember [2358] remember,keep [2358] keep,social [2358] social,distance [2358] distance,follow [2358] follow,covid Top Word Pairs in Tweet in G2:
[43] social,distancing [40] #covid19,#flattenthecurve [35] kids,bored [35] bored,practicing [35] practicing,social [34] covid,19 [31] distancing,make [25] ginger_exchange,kids [24] die,angekündigten [22] #flattenthecurve,#socialdistancing Top Word Pairs in Tweet in G3:
[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 G4:
[74] #flattenthecurve,communities [74] communities,need [74] need,empowered [74] empowered,#covid19 [74] #covid19,#ipc [74] #ipc,health [74] health,info [74] info,helps [74] helps,one [74] one,boost Top Word Pairs in Tweet in G5:
[163] school,strike [137] strike,week [85] gretathunberg,school [66] covid,19 [64] strike,remember [64] remember,keep [64] keep,social [64] social,distance [64] distance,follow [64] follow,covid Top Word Pairs in Tweet in G6:
[118] tell,26 [118] 26,team [118] team,laid [118] laid,tonight [118] tonight,amazing [118] amazing,people [118] people,heartbreaking [118] heartbreaking,both [117] paulcaddensaba,tell [117] both,saba Top Word Pairs in Tweet in G7:
[30] #flattenthecurve,#covid19 [27] city,columbia [27] message,importance [27] importance,wearing [27] wearing,face [27] face,mask [27] mask,need [27] need,go [24] request,absentee [24] absentee,ballot Top Word Pairs in Tweet in G8:
[164] samples,tested [145] #covid19kn,update [145] september,2020 [145] received,today [136] knsmoh,#covid19kn [127] results,received [94] 2020,case [94] case,recorded [85] tested,today [85] today,kano Top Word Pairs in Tweet in G9:
[133] #leralla,train [117] #wearamasksavealife,#flattenthecurve [110] #pienaarspoort,train [105] #naledi,train [81] #wearamask,#flattenthecurve [56] station,#wearamasksavealife [51] train,departed [50] #flattenthecurve,#wearamasksavealife [49] train,elandsfontein [48] train,pretoria Top Word Pairs in Tweet in G10:
[61] die,medizinische [61] medizinische,versorgung [61] versorgung,bevölkerung [61] bevölkerung,bedroht [61] bedroht,weil [61] weil,die [61] die,mitarbeiter [61] mitarbeiter,gesundheitssystems [61] gesundheitssystems,besonderen [61] 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: