The graph represents a network of 6,002 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, 28 December 2020 at 09:42 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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, 12-hour, 36-minute period from Monday, 14 December 2020 at 01:12 UTC to Sunday, 27 December 2020 at 13:49 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 : 6002
Unique Edges : 1924
Edges With Duplicates : 11047
Total Edges : 12971
Number of Edge Types : 5
Tweet : 1434
Retweet : 4893
MentionsInRetweet : 5388
Mentions : 954
Replies to : 302
Self-Loops : 1499
Reciprocated Vertex Pair Ratio : 0.00593738754947823
Reciprocated Edge Ratio : 0.011804686102665
Connected Components : 982
Single-Vertex Connected Components : 500
Maximum Vertices in a Connected Component : 3146
Maximum Edges in a Connected Component : 7384
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.239765
Graph Density : 0.000155227932965299
Modularity : 0.423716
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,002 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, 28 December 2020 at 09:42 UTC.
The requested start date was Monday, 28 December 2020 at 01:01 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, 12-hour, 36-minute period from Monday, 14 December 2020 at 01:12 UTC to Sunday, 27 December 2020 at 13:49 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:
[2632] school,strike [2632] strike,week [2602] gretathunberg,school [2592] ongoing,pandemic [2592] pandemic,doing [2592] doing,#climatestrikeonline [1384] week,123 [1380] happy,holidays [1376] 123,happy [1376] holidays,ongoing Top Word Pairs in Tweet in G1:
[2566] school,strike [2566] strike,week [2550] gretathunberg,school [2542] ongoing,pandemic [2542] pandemic,doing [2542] doing,#climatestrikeonline [1352] week,123 [1348] 123,happy [1348] happy,holidays [1348] holidays,ongoing Top Word Pairs in Tweet in G2:
[38] #covid19,#flattenthecurve [37] social,distancing [34] kids,bored [34] bored,practicing [34] practicing,social [33] #flattenthecurve,#socialdistancing [31] distancing,make [28] covid,19 [27] #flattenthecurve,#wearamask [24] ginger_exchange,kids Top Word Pairs in Tweet in G3:
[389] #christmas2020,worked [389] worked,local [389] local,hospital [389] hospital,yesterday [389] yesterday,ll [389] ll,work [389] work,#covid19 [389] #covid19,assessment [389] assessment,center [389] center,tomorrow Top Word Pairs in Tweet in G4:
[132] lloydlegalist,#flattenthecurve Top Word Pairs in Tweet in G5:
[69] #flattenthecurve,#angamizacorona [66] follow,guidelines [66] guidelines,#flattenthecurve [66] #angamizacorona,yednetworkke [66] yednetworkke,during [66] during,#covidsecondwave [65] yednetworkke,follow [65] #covidsecondwave,#covidchr [53] #covid19pandemic,multifaceted [53] multifaceted,crisis Top Word Pairs in Tweet in G6:
[161] #facetheclimateemergency,#makeadifference [144] #makeadifference,#fightclimateinjustice [129] #fightclimateinjustice,#climatechangeisreal [96] #schoolstrike4climate,#flattenthecurve [94] #climatechangeisreal,#climateaction [94] #climateaction,#fridaysforfuture [94] #fridaysforfuture,#climatestrikeonline [94] #climatestrikeonline,#schoolstrike4climate [51] makeadi30164733,#facetheclimateemergency [50] make,difference Top Word Pairs in Tweet in G7:
[16] #flattenthecurve,#bildungstattpraesenzpflicht [16] #bildungstattpraesenzpflicht,#pandemie [16] #pandemie,#corona [16] #kita,#schule [16] #bildungabersicher,#harterlockdownjetzt [15] #schule,#durchseuchung [15] #durchseuchung,#bildungabersicher [12] #corona,#durchseuchunglight [12] #durchseuchunglight,#kita [5] news4teachers,#flattenthecurve Top Word Pairs in Tweet in G8:
[48] beunruhigende,nachrichten [48] nachrichten,aggressivere [48] aggressivere,#corona [48] #corona,variante [48] variante,großbritannien [48] großbritannien,die [48] die,bundesregierung [48] bundesregierung,zügig [48] zügig,reagieren [47] olafscholz,beunruhigende Top Word Pairs in Tweet in G9:
[22] geht,flashmob [22] flashmob,maskenverweigerer [22] maskenverweigerer,abziehen [22] abziehen,anschließt [22] anschließt,gerne [22] gerne,#wirsindmehr [21] sonntag,schweigemarsch [21] schweigemarsch,impfgegner [21] impfgegner,silvester [21] silvester,stampfen Top Word Pairs in Tweet in G10:
[18] ganz,ehrlich [18] ehrlich,lasst [18] lasst,einfach [18] einfach,gar [18] gar,wissen [18] wissen,die [18] die,infektionszahlen [18] infektionszahlen,10 [18] 10,01 [18] 01,2021 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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: