The graph represents a network of 4,370 Twitter users whose recent tweets contained "Mietendeckel", 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 Wednesday, 25 November 2020 at 08:38 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 25-minute period from Monday, 16 November 2020 at 07:41 UTC to Wednesday, 25 November 2020 at 08:07 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 : 4370
Unique Edges : 7717
Edges With Duplicates : 3754
Total Edges : 11471
Number of Edge Types : 5
Retweet : 4775
Tweet : 1390
Replies to : 1648
MentionsInRetweet : 1455
Mentions : 2203
Self-Loops : 1429
Reciprocated Vertex Pair Ratio : 0.0295385395537525
Reciprocated Edge Ratio : 0.0573820958010097
Connected Components : 426
Single-Vertex Connected Components : 300
Maximum Vertices in a Connected Component : 3619
Maximum Edges in a Connected Component : 10646
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.521343
Graph Density : 0.000425349600079193
Modularity : 0.504759
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,370 Twitter users whose recent tweets contained "Mietendeckel", 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 Wednesday, 25 November 2020 at 08:38 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 25-minute period from Monday, 16 November 2020 at 07:41 UTC to Wednesday, 25 November 2020 at 08:07 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 : Mietendeckel
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:
[571] new,rent [539] rent,control [534] control,law [527] shadow,rents [526] berlin's,new [526] down,70 [526] 70,demand [525] supply,of [524] remember,berlin's [524] law,turns Top Word Pairs in Tweet in G1:
[39] perfide,logik [39] logik,zwangsweise [39] zwangsweise,festgesetzten [39] festgesetzten,mietendeckel [39] mietendeckel,preisen [39] preisen,arm [39] arm,geld [39] geld,sanierungen [39] sanierungen,ungeeignet [39] ungeeignet,nehmen Top Word Pairs in Tweet in G2:
[310] überhöhte,mieten [150] 23,11 [126] mieten,absenken [103] stufe,#mietendeckel [101] mieter,innen [90] #mietendeckel,überhöhte [81] #mietendeckel,wirkt [72] 340,000 [70] mieterinnen,mieter [62] vermietende,überhöhte Top Word Pairs in Tweet in G3:
[522] rent,control [522] control,law [520] shadow,rents [519] remember,berlin's [519] berlin's,new [519] new,rent [519] law,turns [519] turns,out [519] out,led [519] led,exactly Top Word Pairs in Tweet in G4:
[160] brief,bekommen [160] bekommen,miete [160] miete,350 [160] 350,euro [160] euro,gesenkt [160] gesenkt,#mietendeckel [160] #mietendeckel,bleibt [160] bleibt,familie [160] familie,monatsende [160] monatsende,übrig Top Word Pairs in Tweet in G5:
[27] berliner,mietendeckel [12] #mietendeckel,#berlin [8] berlin,mietendeckel [8] millionen,euro [7] rent,cap [7] mietendeckel,vermieter [7] mietendeckel,berlin [7] pro,monat [7] 21,millionen [6] #berlin,#mietendeckel Top Word Pairs in Tweet in G6:
[66] #mietendeckel,#berlin [58] sekunde,klein [58] klein,mitleid [58] mitleid,dachte [58] dachte,geld [58] geld,mietern [58] mietern,zuviel [58] zuviel,tasche [58] tasche,zieht [58] zieht,profitgeilen Top Word Pairs in Tweet in G7:
[64] irgendwo,mietendeckel [64] mietendeckel,umstritten [64] umstritten,regel [64] regel,gemeint [64] gemeint,lobbyverbände [64] lobbyverbände,reichen [64] reichen,leuten [64] leuten,wütend [64] wütend,sofort [64] sofort,euro Top Word Pairs in Tweet in G8:
[73] berlin,47 [73] 47,prozent [73] prozent,mietwohnungen [73] mietwohnungen,einführung [73] einführung,mietendeckels [73] mietendeckels,angeboten [73] angeboten,hamburg [73] hamburg,angebot [73] angebot,fast [73] fast,unverändert Top Word Pairs in Tweet in G9:
[55] mietendeckel,amp [55] amp,verkehrswende [55] verkehrswende,killen [54] spdberlin,beraten [54] beraten,sofern [54] sofern,#giffey [54] #giffey,vorsitzenden [54] vorsitzenden,amp [54] amp,spitzenkandidatin [54] spitzenkandidatin,dr Top Word Pairs in Tweet in G10:
[19] anna,nimmt [19] nimmt,privaten [19] privaten,vermieter [19] vermieter,altersvorsorge [19] altersvorsorge,immobilie [19] immobilie,angelegt [19] angelegt,50 [19] 50,rente [19] rente,#mietendeckel [12] staat,mietendeckel Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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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 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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: