The graph represents a network of 5,879 Twitter users whose recent tweets contained "Dorfkinder OR Stadtkinder", 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 Monday, 20 January 2020 at 15:17 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 9-minute period from Sunday, 12 January 2020 at 14:58 UTC to Monday, 20 January 2020 at 15:08 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 : 5879
Unique Edges : 8529
Edges With Duplicates : 2164
Total Edges : 10693
Number of Edge Types : 5
Retweet : 4403
Tweet : 2618
Replies to : 1673
MentionsInRetweet : 1392
Mentions : 607
Self-Loops : 2628
Reciprocated Vertex Pair Ratio : 0.00700242391597091
Reciprocated Edge Ratio : 0.0139074618882054
Connected Components : 1116
Single-Vertex Connected Components : 898
Maximum Vertices in a Connected Component : 4445
Maximum Edges in a Connected Component : 9018
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.330314
Graph Density : 0.000216397589565828
Modularity : 0.586667
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 5,879 Twitter users whose recent tweets contained "Dorfkinder OR Stadtkinder", 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 Monday, 20 January 2020 at 15:17 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 9-minute period from Sunday, 12 January 2020 at 14:58 UTC to Monday, 20 January 2020 at 15:08 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 : Dorfkinder OR Stadtkinder
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 Entire Graph:
[638] #dorfkinder,kampagne [507] juliakloeckner,#dorfkinder [288] kampagne,sehen [244] zuhause,vertrieben [235] vertrieben,enteignet [230] #dorfkinder,zwangsumgesiedelt [227] zwangsumgesiedelt,kohle [227] kohle,heimat [227] heimat,vernichtet [227] vernichtet,sorry Top Word Pairs in Tweet in G1:
[41] dorf,dorf [26] #dorfkinder,kampagne [19] #dorfkinder,#stadtkinder [16] hashtag,#dorfkinder [13] julia,klöckner [11] #dorfkinder,brauchen [11] dorf,#dorfkinder [11] bus,fährt [11] #dorfkinder,kennen [9] thema,#dorfkinder Top Word Pairs in Tweet in G2:
[341] juliakloeckner,#dorfkinder [79] juliakloeckner,dorfkinder [69] juliakloeckner,dorobaer [68] dorobaer,#dorfkinder [67] #dorfkinder,tweet [65] tweet,abrufen [65] abrufen,bundesregierung [65] bundesregierung,#netzausbau [65] #netzausbau,verbockt [61] #dorfkinder,zuhause Top Word Pairs in Tweet in G3:
[187] #dorfkinder,zwangsumgesiedelt [185] zwangsumgesiedelt,kohle [185] kohle,heimat [185] heimat,vernichtet [185] vernichtet,sorry [185] sorry,bmwi_bund [185] bmwi_bund,bleiben [185] bleiben,korrekten [185] korrekten,beschreibung [185] beschreibung,#alledörferbleiben Top Word Pairs in Tweet in G4:
[70] bezeichnen,idr [69] leute,stolze [69] stolze,#dorfkinder [68] idr,rassistische [68] rassistische,sexistische [68] sexistische,homophobe [68] homophobe,konservative [68] konservative,ismen [68] ismen,bestenfalls [68] bestenfalls,humor Top Word Pairs in Tweet in G5:
[118] #dorfkinder,politik [118] politik,wünschen [118] wünschen,öpnv [118] öpnv,anbindung [118] anbindung,anständiges [118] anständiges,breitband [118] breitband,internet [118] internet,schulen [118] schulen,schwimmbäder [118] schwimmbäder,infrastruktur Top Word Pairs in Tweet in G6:
[223] #dorfkinder,kampagne [215] kampagne,sehen [10] soziale,herkunft [10] herkunft,migrant [10] migrant,innen [10] innen,#dorfkinder [10] #dorfkinder,rückschrittlich [10] rückschrittlich,derart [10] derart,verpönt [10] verpönt,migrationsdefizit Top Word Pairs in Tweet in G7:
[39] #dorfkinder,beschweren [38] beschweren,zweimal [38] zweimal,bus [38] bus,hause [38] hause,fährt [38] fährt,leute [38] leute,bus [38] bus,zweimal [38] zweimal,täglich [38] täglich,heißt Top Word Pairs in Tweet in G8:
[144] #dorfkinder,kampagne [129] kampagne,2020 [128] 2020,internet [15] kampagne,sehen [9] #dorfkinder,warten [9] warten,bus [9] bus,verpasst [8] juliakloeckner,#dorfkinder [8] glaube,dorfkinder [8] dorfkinder,fänden Top Word Pairs in Tweet in G9:
[49] dorf,neonazis [49] neonazis,namen [49] namen,vermerk [49] vermerk,kriegen [49] kriegen,laternen [49] laternen,geschrieben [49] geschrieben,führerschein [49] führerschein,frisch [49] frisch,versuchte [49] versuchte,neonazi Top Word Pairs in Tweet in G10:
[30] #dorfkinder,bestenfalls [30] bestenfalls,unpolitisch [30] unpolitisch,desinteressiert [30] desinteressiert,leid [30] leid,schlimmstenfalls [30] schlimmstenfalls,reaktionäre [30] reaktionäre,cdu [30] cdu,wähler [30] wähler,innen [30] innen,nazis Top Replied-To in Entire Graph:
Top Replied-To in G2:
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 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: