The graph represents a network of 6,106 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 Tuesday, 21 April 2020 at 09:14 UTC.
The requested start date was Tuesday, 21 April 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 1-day, 6-hour, 49-minute period from Sunday, 19 April 2020 at 05:34 UTC to Monday, 20 April 2020 at 12:24 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 : 6106
Unique Edges : 3077
Edges With Duplicates : 7446
Total Edges : 10523
Number of Edge Types : 5
Retweet : 3327
MentionsInRetweet : 3931
Mentions : 1427
Replies to : 233
Tweet : 1605
Self-Loops : 1675
Reciprocated Vertex Pair Ratio : 0.0100814269096549
Reciprocated Edge Ratio : 0.0199616122840691
Connected Components : 1612
Single-Vertex Connected Components : 736
Maximum Vertices in a Connected Component : 561
Maximum Edges in a Connected Component : 1102
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.54869
Graph Density : 0.000139763978611014
Modularity : 0.548205
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 6,106 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 Tuesday, 21 April 2020 at 09:14 UTC.
The requested start date was Tuesday, 21 April 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 1-day, 6-hour, 49-minute period from Sunday, 19 April 2020 at 05:34 UTC to Monday, 20 April 2020 at 12:24 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:
[272] health,system [269] angela,merkel [264] #covid19,infection [262] merkel,explained [262] explained,effect [262] effect,higher [262] higher,#covid19 [262] infection,rate [262] rate,country's [262] country's,health Top Word Pairs in Tweet in G1:
[51] #stayhome,#flattenthecurve [34] covid,19 [33] stay,safe [33] #stayathome,#flattenthecurve [32] #covid19,#flattenthecurve [30] social,distancing [27] stay,home [25] #staysafe,#flattenthecurve [23] #socialdistancing,#flattenthecurve [23] #coronavirus,#covid19 Top Word Pairs in Tweet in G2:
[260] angela,merkel [260] merkel,explained [260] explained,effect [260] effect,higher [260] higher,#covid19 [260] #covid19,infection [260] infection,rate [260] rate,country's [260] country's,health [260] health,system Top Word Pairs in Tweet in G3:
[213] 127,confirmed [213] confirmed,covid [213] covid,cases [212] 2nd,april [212] april,kasaragod [212] kasaragod,127 [212] cases,mumbai [212] mumbai,185 [212] 185,april [212] april,16th Top Word Pairs in Tweet in G4:
[183] grocery,shop [183] shop,safely [183] safely,time [183] time,#covid_19 [183] #covid_19,#flattenthecurve [183] #flattenthecurve,#socialdistancing [177] drzwelimkhize,grocery [5] let's,continue [4] #day22oflockdown,need [4] need,continue Top Word Pairs in Tweet in G5:
[107] geld,superreichen [106] entweder,man [106] man,viele [106] viele,leben [106] leben,retten [106] retten,einschränkung [106] einschränkung,#corona [106] #corona,zahlt [106] zahlt,geld [105] wenig_worte,entweder Top Word Pairs in Tweet in G6:
[13] we_are_alight,pagepakistan [12] #flattenthecurve,#stopthespread [12] pagepakistan,nchd_media [11] covid,19 [11] کرونا,وائرس [11] mental,health [10] stay,healthy [10] #viralkindness,#stopthespread [9] #flattenthecurve,#togetherwerise [9] #togetherwerise,#stopthespread Top Word Pairs in Tweet in G7:
[37] #coronavirus,#coronaoutbreak [37] #coronaoutbreak,#chinacoronavirus [36] #chinacoronavirus,#pencepandemic [33] #pencepandemic,#mikepence [31] #mikepence,#election2020 [20] editorial,cartoon [20] #election2020,#votebluenomatterwho [16] #votebluenomatterwho,#socialdistancing [16] #socialdistancing,#flattenthecurve [16] #washyourhands,#handwashing Top Word Pairs in Tweet in G8:
[38] kraftstoffverbrauch,kombiniert [38] kombiniert,100 [38] 100,km [38] km,co [38] co,emissionen [38] emissionen,kombiniert [36] mercedesamg,kraftstoffverbrauch [27] take,foot [27] foot,throttle [27] throttle,take Top Word Pairs in Tweet in G9:
[52] #covid19,pandemic [51] flguard,continues [51] continues,support [51] support,#covid19 [51] pandemic,drive [51] drive,thru [51] thru,testing [51] testing,sites [51] sites,soldiers [51] soldiers,supporting Top Word Pairs in Tweet in G10:
[55] mewho_z,thread [31] placing,orders [31] orders,please [31] please,opt [31] opt,digital [31] digital,payments [30] thread,few [30] few,places [30] places,deliver [30] deliver,fish 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 G6:
Top Replied-To in G7:
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: