The graph represents a network of 821 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, 10 December 2022 at 09:36 UTC.
The requested start date was Saturday, 10 December 2022 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, 7-hour, 55-minute period from Saturday, 26 November 2022 at 01:37 UTC to Friday, 09 December 2022 at 09:32 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 : 821
Unique Edges : 171
Edges With Duplicates : 1399
Total Edges : 1570
Number of Edge Types : 5
Replies to : 51
Mentions : 95
Tweet : 116
Retweet : 646
MentionsInRetweet : 662
Self-Loops : 122
Reciprocated Vertex Pair Ratio : 0.00261096605744125
Reciprocated Edge Ratio : 0.00520833333333333
Connected Components : 89
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 569
Maximum Edges in a Connected Component : 1183
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.729828
Graph Density : 0.00114078607290336
Modularity : 0.438184
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 821 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, 10 December 2022 at 09:36 UTC.
The requested start date was Saturday, 10 December 2022 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, 7-hour, 55-minute period from Saturday, 26 November 2022 at 01:37 UTC to Friday, 09 December 2022 at 09:32 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:
[337] kinderkliniken,gibt [337] deutschlandweit,hören [337] freie,intensivbetten [337] intensivbetten,kinder [337] gibt,deutschlandweit [337] kam,eben [337] 83,freie [337] kinder,kinderkliniken [337] radio,kam [337] eben,83 Top Word Pairs in Tweet in G1:
[324] 83,freie [324] kinderkliniken,gibt [324] intensivbetten,kinder [324] eben,83 [324] radio,kam [324] kam,eben [324] kinder,kinderkliniken [324] freie,intensivbetten [324] gibt,deutschlandweit [324] deutschlandweit,hören Top Word Pairs in Tweet in G2:
[117] unserer,situation [117] heute,sagen [117] chinesischen,verhältnisse [117] die,chinesischen [117] die,die [117] man,unserer [117] dürfte,man [117] verhältnisse,dürfte [117] sagen,die [117] thread,geht Top Word Pairs in Tweet in G3:
[64] #flattenthecurve,deutschland [63] drohender,überlastung [63] intensivstationen,zurecht [63] deutschland,drohender [63] überlastung,intensivstationen [63] zurecht,#flattenthecurve [62] deutschland,maxi [62] tine_sommerkind,deutschland [11] kam,eben [11] freie,intensivbetten Top Word Pairs in Tweet in G4:
[19] kinder,eltern [18] die,evtl [18] situation,kinder [18] evtl,möglichkeit [18] spricht,niemand [18] möglichkeit,kontaktbeschränkungen [18] warum,spricht [18] kontaktbeschränkungen,die [18] niemand,die [18] die,situation Top Word Pairs in Tweet in G5:
[30] #covid19,#flattenthecurve [15] #flattenthecurve,#corona [14] #crowdfundingintroducing,#chocolatetastingon [14] #startnext,#crowdfundingintroducing [14] #chocolatetastingon,#ultahokethalassemiaroke [14] #corona,#startnext [13] stay,aware [13] #ultahokethalassemiaroke,#thewishingfactory [13] caution,#covid19 [13] use,caution Top Word Pairs in Tweet in G6:
[5] welle,anderen [5] #maskeauf,die [5] viren,winter [5] maßnahme,#maskeauf [5] #flattenthecurve,rsv [5] anderen,viren [5] die,kids [5] winter,man [5] man,einfachen [5] einfachen,maßnahme Top Word Pairs in Tweet in G7:
[24] manche,politiker [24] #flattenthecurve,fast [24] wochen,#flattenthecurve [24] #flattenyourrights,manche [24] fast,jahre [24] jahre,#flattenyourrights [24] politiker,einschränkung [23] sprachlos12,wochen Top Word Pairs in Tweet in G8:
[8] hospital,resources [8] excuse,hospital [8] long,excuse [8] wait,long [8] resources,soon [8] still,wait [7] wear,mask [7] prevent,wear [7] nightmare,#flattenthecurve [7] tinu,still Top Word Pairs in Tweet in G9:
[9] #togetherwecan,#flattenthecurve [9] december,2022 [9] #nagaland,status [9] bulletin,#nagaland [9] 2022,#togetherwecan [9] #flattenthecurve,#nagalandagainstcovid [9] #covid19,bulletin [7] healthnagaland,#covid19 [6] #nagalandagainstcovid,mygovnag [4] ddnewskohima,pibkohima Top Word Pairs in Tweet in G10:
[9] govt,knows [9] reminder,govt [9] hospitals,overwhelmed [9] long,term [9] invest,healthcare [9] term,solution [9] pandemic,long [9] knows,hospitals [9] solution,invest [9] overwhelmed,pandemic Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
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: