The graph represents a network of 3,720 Twitter users whose recent tweets contained "#LongCovidKids", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 13 May 2021 at 16:14 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 40-minute period from Wednesday, 05 May 2021 at 19:58 UTC to Thursday, 13 May 2021 at 15:38 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 : 3720
Unique Edges : 7183
Edges With Duplicates : 4074
Total Edges : 11257
Number of Edge Types : 5
Retweet : 4948
Tweet : 438
Replies to : 1129
MentionsInRetweet : 3166
Mentions : 1576
Self-Loops : 484
Reciprocated Vertex Pair Ratio : 0.0123716441915131
Reciprocated Edge Ratio : 0.024440914090187
Connected Components : 135
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 3400
Maximum Edges in a Connected Component : 10932
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.750556
Graph Density : 0.000591484588006372
Modularity : 0.518174
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,720 Twitter users whose recent tweets contained "#LongCovidKids", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 13 May 2021 at 16:14 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 40-minute period from Wednesday, 05 May 2021 at 19:58 UTC to Thursday, 13 May 2021 at 15:38 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 : TwitterSearch
Graph Term : #LongCovidKids
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:
[555] #longcovid,#longcovidkids [533] #longcovidkids,#protectthekids [532] alle,schulen [498] #protectthekids,#sicherebildung [454] #schütztunserekinder,#longcovidkids [436] die,pandemie [425] #sicherebildung,#longcovidkids [422] #sicherebildung,#schütztunserekinder [420] 21,000 [419] die,#kinderwelle Top Word Pairs in Tweet in G1:
[197] awareness,pack [171] please,help [171] awareness,#longcovidkids [146] #longcovid,#longcovidkids [146] raising,awareness [133] longcovidkids,raising [133] #longcovidkids,parenting [133] parenting,community [133] community,schools [133] schools,etc Top Word Pairs in Tweet in G2:
[332] alle,schulen [312] #protectthekids,#sicherebildung [298] #longcovidkids,#protectthekids [285] 21,000 [284] #schütztunserekinder,#longcovidkids [284] 000,neuinfektionen [284] neuinfektionen,dennoch [284] dennoch,man [284] man,eindruck [284] eindruck,deutschland Top Word Pairs in Tweet in G3:
[331] #sicherebildung,#schütztunserekinder [236] iwerte,kindern [227] #protectthekids,#longcovidkids [204] #sicherebildung,#longcovidkids [171] #longcovidkids,#protectthekids [165] #longcovidkids,ekelhaft [164] alle,schulen [163] mpstephanweil,arminlaschet [162] deutschland,lockert [162] lockert,geschafft Top Word Pairs in Tweet in G4:
[103] bisher,größte [103] größte,uk [103] uk,studie [103] studie,#longcovidkids [103] #longcovidkids,258 [103] 258,790 [103] 790,kids [103] kids,monaten [103] monaten,1700 [103] 1700,pcr Top Word Pairs in Tweet in G5:
[65] #longcovidkids,#pims [64] alain_berset,bag_ofsp_ufsp [61] täglich,erinnerung [61] erinnerung,alain_berset [61] gdk_cds,organisieren [61] organisieren,ausreichend [61] ausreichend,kinderimpfstoff [61] kinderimpfstoff,alle [61] alle,kinder [61] kinder,kleine Top Word Pairs in Tweet in G6:
[66] #longcovid,#longcovidkids [27] #mecfs,#longcovid [18] die,pandemie [16] präsident,innen [16] innen,landesparlamente [14] #longcovidkids,#longcovid [10] #millionsmissing,postkarte [10] postkarte,2021 [10] 2021,martina63692137 [10] martina63692137,die Top Word Pairs in Tweet in G7:
[29] schulen,kigas [29] #bildungabersicher,#longcovidkids [23] #longcovid,#longcovidkids [15] jahr,pandemie [15] pandemie,heute [15] heute,keine [15] keine,konzepte [15] konzepte,risiko [15] risiko,ansteckung [15] ansteckung,#sarscov2 Top Word Pairs in Tweet in G8:
[21] #longcovid,#longcovidkids [4] long,covid [3] #longcovidkids,#longcovid [3] #covid19,#longcovid [3] covid,19 [3] die,kinder [3] #covidpersistente,#longcovid [2] dan,eerst [2] eerst,die [2] die,prikken Top Word Pairs in Tweet in G9:
[18] #longcovid,#longcovidkids [12] ormai,chiaro [12] chiaro,l'obiettivo [12] l'obiettivo,raggiungere [12] raggiungere,l'immunità [12] l'immunità,gregge [12] gregge,infezione [12] infezione,naturale [12] naturale,facendo [12] facendo,circolare Top Word Pairs in Tweet in G10:
[18] #emmakinderziekenhuis,onderdeel [18] onderdeel,amsterdam [18] amsterdam,#umc [18] #umc,heeft [18] heeft,polikliniek [18] polikliniek,opgezet [18] opgezet,#kinderen [18] #kinderen,met [18] met,langdurige [18] langdurige,klachten Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G7:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: