The graph represents a network of 2,836 Twitter users whose recent tweets contained "#hartaberfair", 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 Tuesday, 16 August 2022 at 13:40 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 4-minute period from Sunday, 07 August 2022 at 17:29 UTC to Tuesday, 16 August 2022 at 13:34 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 : 2836
Unique Edges : 4346
Edges With Duplicates : 1227
Total Edges : 5573
Number of Edge Types : 5
Retweet : 3669
Tweet : 755
MentionsInRetweet : 760
Replies to : 171
Mentions : 218
Self-Loops : 764
Reciprocated Vertex Pair Ratio : 0.00321027287319422
Reciprocated Edge Ratio : 0.0064
Connected Components : 268
Single-Vertex Connected Components : 230
Maximum Vertices in a Connected Component : 2472
Maximum Edges in a Connected Component : 5055
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.992999
Graph Density : 0.000544150168033572
Modularity : 0.582509
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,836 Twitter users whose recent tweets contained "#hartaberfair", 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 Tuesday, 16 August 2022 at 13:40 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 4-minute period from Sunday, 07 August 2022 at 17:29 UTC to Tuesday, 16 August 2022 at 13:34 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 : #hartaberfair
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[607] jens,#spahn [552] ca,mrd [475] müller,mitglied [475] mitglied,grünen [475] grünen,überall [475] überall,unabhängige [475] unabhängige,spezialisten [475] spezialisten,sitzen [475] sitzen,politische [475] politische,kraken Top Word Pairs in Tweet in G1:
[85] frau,esken [77] chemischen,industrie [74] #hartaberfair,diskutierten [74] diskutierten,linkes [74] linkes,cdu [74] cdu,mitglied [74] mitglied,spd [74] spd,mitgliedin [74] mitgliedin,linken [74] linken,rand Top Word Pairs in Tweet in G2:
[317] präsident,bundesnetzagenturklaus [317] bundesnetzagenturklaus,müller [317] müller,mitglied [317] mitglied,grünen [317] grünen,überall [317] überall,unabhängige [317] unabhängige,spezialisten [317] spezialisten,sitzen [317] sitzen,politische [317] politische,kraken Top Word Pairs in Tweet in G3:
[256] freche,lüge [256] lüge,jens [256] jens,#spahn [256] #spahn,gas [256] gas,teuer [256] teuer,putins [256] putins,überfall [256] überfall,ukraine [256] ukraine,falsch [256] falsch,teuer Top Word Pairs in Tweet in G4:
[263] verena,bentele [262] bentele,vdk_deutschland [262] vdk_deutschland,#hartaberfair [194] #micdrop,abends [194] abends,verena [90] ca,mrd [21] #hartaberfair,gefallen [21] gefallen,sommerpause [21] jens,#spahn [20] #9euroticket,ferienticket Top Word Pairs in Tweet in G5:
[61] gas,ausgeht [60] frieren,winter [60] winter,bangen [60] bangen,jobs [60] jobs,gas [59] 21,45 [55] 45,daserste [52] jensspahn,#hartaberfair [52] thema,frieren [50] 15,08 Top Word Pairs in Tweet in G6:
[372] ca,mrd [66] industrie,gewinne [64] spahn,abfällig [64] abfällig,euro [64] euro,ticket [64] ticket,eher [64] eher,ferienticket [64] ferienticket,gedanken [64] gedanken,arme [64] arme,urlaub Top Word Pairs in Tweet in G7:
[13] jens,spahn [9] hartaberfair,nr [9] trending,hashtag [9] hashtag,letzten [9] letzten,stunden [9] stunden,#hartaberfair [8] nr,trending [7] #gasumlage,#hartaberfair [6] #hartaberfair,#gasumlage [4] herr,müller Top Word Pairs in Tweet in G8:
[119] saskia,esken [119] esken,spd [116] körperlich,hart [116] hart,arbeiten [116] arbeiten,friert [116] friert,saskia [116] spd,vorsitzende [116] vorsitzende,lösung [116] lösung,energieproblems [116] energieproblems,vorstellt Top Word Pairs in Tweet in G9:
[109] jens,#spahn [109] #9euroticket,ferienticket [109] ferienticket,pendler [109] pendler,september [109] september,arbeiten [108] #spahn,nennt [108] nennt,plasberg [108] plasberg,#9euroticket [108] arbeiten,irgendwie [108] irgendwie,krass Top Word Pairs in Tweet in G10:
[59] #hartaberfair,#esken [59] #esken,schämt [59] schämt,spd [59] spd,frau [59] frau,merkel [59] merkel,ungeheure [59] ungeheure,abhängigkeit [59] abhängigkeit,russland [59] russland,verdanken [59] verdanken,bürger Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: