The graph represents a network of 2,187 Twitter users whose recent tweets contained "Tierschutz", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Friday, 05 June 2020 at 12:45 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 37-minute period from Thursday, 28 May 2020 at 16:40 UTC to Friday, 05 June 2020 at 12:17 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 : 2187
Unique Edges : 3770
Edges With Duplicates : 2015
Total Edges : 5785
Number of Edge Types : 5
Retweet : 1688
MentionsInRetweet : 1403
Mentions : 1544
Replies to : 731
Tweet : 419
Self-Loops : 431
Reciprocated Vertex Pair Ratio : 0.0197549387346837
Reciprocated Edge Ratio : 0.0387444825895047
Connected Components : 314
Single-Vertex Connected Components : 157
Maximum Vertices in a Connected Component : 1571
Maximum Edges in a Connected Component : 5193
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.794742
Graph Density : 0.000852998526182537
Modularity : 0.541383
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,187 Twitter users whose recent tweets contained "Tierschutz", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Friday, 05 June 2020 at 12:45 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 37-minute period from Thursday, 28 May 2020 at 16:40 UTC to Friday, 05 June 2020 at 12:17 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 : Tierschutz
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in G2:
[473] #adoptdontshop,#adopt [459] #dog,#dogoftheday [437] #savelife,#romania [435] #rescuedogs,#rescuedog [429] #dogoftheday,#dogsoftwitter [428] #dogsoftwitter,#dogoftheday [428] #dog,#dogsoftwitter [422] #rescue,#animalrescue [422] #dogoftheday,#doglover [420] #doglover,#doglife Top Word Pairs in Tweet in G3:
[191] platz,bekommen [156] tierschutz,schweine [127] schweine,ställen [124] ställen,platz [120] tierschutz,neuss [119] neuss,#tiere [106] #tiere,#inserate [98] #inserate,#kleinanzeige [93] soeben,futter [89] futter,gespendet Top Word Pairs in Tweet in G4:
[10] sbv,tierschutz_sts [7] tierschutz_sts,konsumschutz [7] konsumschutz,wwf_schweiz [7] wwf_schweiz,srfkonsum [7] 10,schweine [7] schweine,parkfeld [7] parkfeld,gesetzeskonform [7] gesetzeskonform,tiergerecht [6] tiergerecht,seht [6] seht,#schweizerfleisch Top Word Pairs in Tweet in G5:
[77] #afd,fraktion [70] guten,#deutschland [70] #deutschland,stellen [37] stellen,agrarpolitische [33] agrarpolitische,leitbild [33] leitbild,#afd [33] fraktion,#bundestag [33] #bundestag,10 [33] 10,saal [33] saal,paulskirche Top Word Pairs in Tweet in G6:
[44] milchprodukte,nimmt [29] nimmt,zumindest [29] zumindest,bericht [29] bericht,lesen [29] lesen,milchkühen [29] milchkühen,arg [29] arg,schlimm [29] schlimm,schön [29] schön,reden [29] reden,milch Top Word Pairs in Tweet in G7:
[10] gesellschaft,künftigen [10] künftigen,seuchen [10] seuchen,schützen [10] schützen,intensivbetten [10] intensivbetten,schutzmasken [10] schutzmasken,investieren [10] investieren,kluge [10] kluge,gesundheitspolitik [10] gesundheitspolitik,globale [10] globale,biodiversität Top Word Pairs in Tweet in G8:
[38] please,sign [38] sign,share [38] share,hedgehogs [38] hedgehogs,gruesome [38] gruesome,tortured [38] tortured,electronic [38] electronic,mewers [38] mewers,rescue [38] rescue,of [38] of,badly Top Word Pairs in Tweet in G9:
[4] beendigung,#schweinequal [4] #schweinequal,#nestlemodell [4] #nestlemodell,#juliaklöckner [4] #juliaklöckner,gibts [4] gibts,sogar [4] sogar,gesetzliche [4] gesetzliche,rückschritte [4] rückschritte,#tierschutz [4] #tierschutz,bundesländer [4] bundesländer,entscheiden Top Word Pairs in Tweet in G10:
[36] #landdertiere,#lebenshof [36] #lebenshof,#vegan [36] #tierrechte,#tierschutz [36] #vegan,#govegan [36] #govegan,#tierrechte [36] #tierschutz,#tierrettung [36] #tierrettung,#animalrights [36] #animalrights,#sanctuary [36] #sanctuary,#animalsanctuary [36] #animalsanctuary,#animalrescue Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: