The graph represents a network of 7,353 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 Thursday, 29 October 2020 at 10:13 UTC.
The requested start date was Thursday, 29 October 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 5-day, 12-hour, 1-minute period from Friday, 23 October 2020 at 11:58 UTC to Thursday, 29 October 2020 at 00:00 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 : 7353
Unique Edges : 2716
Edges With Duplicates : 12371
Total Edges : 15087
Number of Edge Types : 5
Tweet : 1286
Mentions : 968
Retweet : 5730
MentionsInRetweet : 6730
Replies to : 373
Self-Loops : 1329
Reciprocated Vertex Pair Ratio : 0.00598324690865576
Reciprocated Edge Ratio : 0.0118953211736717
Connected Components : 988
Single-Vertex Connected Components : 562
Maximum Vertices in a Connected Component : 4801
Maximum Edges in a Connected Component : 10672
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.763718
Graph Density : 0.000139957531047042
Modularity : 0.488508
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,353 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 Thursday, 29 October 2020 at 10:13 UTC.
The requested start date was Thursday, 29 October 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 5-day, 12-hour, 1-minute period from Friday, 23 October 2020 at 11:58 UTC to Thursday, 29 October 2020 at 00:00 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:
[2533] perangai,yahudi [2533] yahudi,aje [2533] aje,yang [2533] yang,boleh [2533] boleh,buat [2533] buat,macam [2533] macam,ini [2533] ini,kita [2533] kita,tak [2533] tak,boleh Top Word Pairs in Tweet in G1:
[2518] perangai,yahudi [2518] yahudi,aje [2518] aje,yang [2518] yang,boleh [2518] boleh,buat [2518] buat,macam [2518] macam,ini [2518] ini,kita [2518] kita,tak [2518] tak,boleh Top Word Pairs in Tweet in G2:
[31] social,distancing [25] #covid19,#flattenthecurve [22] practicing,social [21] #staysafe,#flattenthecurve [21] kids,bored [21] bored,practicing [19] distancing,make [18] #flattenthecurve,#socialdistancing [18] rohan,chopra [18] sheetal,chandhoke Top Word Pairs in Tweet in G3:
[431] die,nächsten [431] nächsten,wochen [431] wochen,vermutlich [431] vermutlich,gute [431] gute,zeit [431] zeit,menschen [431] menschen,melden [431] melden,wisst [430] kattascha,die [430] wisst,ber Top Word Pairs in Tweet in G4:
[348] school,strike [345] strike,week [342] week,113 [336] strike,remember [336] remember,keep [336] keep,social [336] social,distance [336] distance,follow [336] follow,covid [336] covid,19 Top Word Pairs in Tweet in G5:
[130] pssst,gerade [130] gerade,lokal [130] lokal,______ [130] ______,ohne [130] ohne,mund [130] mund,nasen [130] nasen,schutz [130] schutz,feiern [130] feiern,viele [130] viele,andere Top Word Pairs in Tweet in G6:
[91] zweite,welle [89] corona,herbst [88] welle,szenarien [74] ralfkrauter,zweite [73] szenarien,die [73] die,corona [73] herbst,wissenschaft [73] wissenschaft,brennpunkt [73] brennpunkt,infektionsmodelliererin [73] infektionsmodelliererin,violapriesemann Top Word Pairs in Tweet in G7:
[132] asean,countries [132] countries,doing [132] doing,doesnt [132] doesnt,mean [132] mean,join [132] join,good [132] good,spirit [132] spirit,guys [130] gerakmalaysia,asean [129] wangnaeun,gerakmalaysia Top Word Pairs in Tweet in G8:
[25] gt,gt [25] lt,lt [16] hi,liebetwitties [16] liebetwitties,#twitterrudel [16] #twitterrudel,habt [16] habt,viell [16] viell,gelesen [16] gelesen,covid19 [16] covid19,positiv [16] positiv,getestet Top Word Pairs in Tweet in G9:
[52] invisible,#environment [52] #environment,soldier [52] soldier,#environmental [52] #environmental,clean [50] team,deployed [48] novel,#covid19 [48] #covid19,invisible [48] clean,team [47] yednetworkke,novel [32] yednetworkke,amref_kenya Top Word Pairs in Tweet in G10:
[47] november,monat [47] monat,wahrheit [47] wahrheit,die [47] die,steigenden [47] steigenden,infektionszahlen [47] infektionszahlen,zwingen [47] zwingen,hart [47] hart,gegenzusteuern [47] gegenzusteuern,die [46] olafscholz,november Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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: