The graph represents a network of 15,983 Twitter users whose recent tweets contained "Podcast lang:de", 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, 29 June 2022 at 14:05 UTC.
The tweets in the network were tweeted over the 9-day, 13-hour, 25-minute period from Sunday, 19 June 2022 at 22:30 UTC to Wednesday, 29 June 2022 at 11:55 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 : 15983
Unique Edges : 24117
Edges With Duplicates : 8423
Total Edges : 32540
Number of Edge Types : 5
Retweet : 7756
MentionsInRetweet : 7764
Mentions : 8597
Tweet : 4704
Replies to : 3719
Self-Loops : 4861
Reciprocated Vertex Pair Ratio : 0.0638742989406214
Reciprocated Edge Ratio : 0.120078657796745
Connected Components : 3161
Single-Vertex Connected Components : 1610
Maximum Vertices in a Connected Component : 9368
Maximum Edges in a Connected Component : 24020
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 7.599539
Graph Density : 9.35678490770364E-05
Modularity : 0.679546
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 15,983 Twitter users whose recent tweets contained "Podcast lang:de", 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, 29 June 2022 at 14:05 UTC.
The tweets in the network were tweeted over the 9-day, 13-hour, 25-minute period from Sunday, 19 June 2022 at 22:30 UTC to Wednesday, 29 June 2022 at 11:55 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 : Podcast lang:de
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:
[591] podcast,folge [370] hört,rein [278] podcast,deutschland [264] faz,podcast [256] tausenden,deutschen [255] deutschen,entschuldigen [246] entschuldigen,faz [246] deutschland,danke [246] danke,andreas [246] andreas,krobok Top Word Pairs in Tweet in G1:
[93] podcast,folge [62] hört,rein [44] lt,gt [41] überall,podcasts [39] harry,podcast [36] rein,folge [36] anhören,#katzenexpertin [36] #katzenexpertin,katze [36] katze,#katze [36] #katze,#katzenwissen Top Word Pairs in Tweet in G2:
[94] podcast,thema [71] ken,jebsen [66] podcast,folge [59] hörenswerter,podcast [58] schleimhaut,immunität [58] #sarscov2,#covid19 [57] thema,reinfektion [57] reinfektion,schleimhaut [57] immunität,wichtig [57] wichtig,differenzieren Top Word Pairs in Tweet in G3:
[57] fu_berlin,dlfnova [50] podcast,thema [47] social,media [41] prof,dr [39] körperlich,wrack [39] wrack,laune [39] afelia,unserem [39] unserem,wochenendpodcast [39] wochenendpodcast,verrät [39] verrät,zirkuspony Top Word Pairs in Tweet in G4:
[52] hört,rein [35] folge,#lagederfraktion [35] carmenwegge,gesprochen [33] neu,vorgelesen [33] vorgelesen,community [33] community,podcast [28] menge,auto [28] auto,fahren [27] bevor,cannabis [27] cannabis,legal Top Word Pairs in Tweet in G5:
[33] falter_at,podcast [25] ndr,podcast [23] derspiegel,moun [23] moun,spiegel [23] spiegel,mitbekommen [23] mitbekommen,stand [23] stand,wissenschaft [23] wissenschaft,drosten [23] drosten,bspw [23] bspw,genau Top Word Pairs in Tweet in G6:
[112] podcast,preis [103] #dpp2022,#deutscherpodcastpreis [86] kategorie,beste [78] #deutscherpodcastpreis,#podcastpreis [59] deutsche,podcast [47] beste,newcomer [47] bill,tom [47] tom,kaulitz [46] jan,ullrich [46] kaulitz,hills Top Word Pairs in Tweet in G7:
[67] new,podcast [51] lauterbachs,ausfälle [51] ausfälle,pflegekräfte [51] pflegekräfte,wirrminister [51] wirrminister,erlauben [37] wahl,#frankreich [37] #frankreich,#lepen [37] #lepen,deutsche [37] deutsche,kritiker [37] kritiker,tot Top Word Pairs in Tweet in G8:
[231] tausenden,deutschen [231] faz,podcast [230] deutschen,entschuldigen [230] entschuldigen,faz [230] podcast,deutschland [230] deutschland,danke [230] danke,andreas [230] andreas,krobok [230] krobok,akrobok [230] akrobok,offene Top Word Pairs in Tweet in G9:
[22] rydewrongpod,altgrau [22] altgrau,ntrhltngszmmr [22] zeitspeise_pod,comicklatsch [22] comicklatsch,credits_podcast [21] lesewutpodcast,denkenhilftcast [20] comic,salon [20] salon,erlangen [20] credits_podcast,neulichpodcast [19] comiccookies,comic_salon_er [19] andipreller,wolf_and Top Word Pairs in Tweet in G10:
[37] #podcast,#weltraumwagner [23] podcast,preis [22] berliner,pfannkuchen [20] dänische,forscherin [20] forscherin,entdeckte [20] entdeckte,1936 [20] 1936,festen [20] festen,inneren [20] inneren,kern [20] kern,erde 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 G7:
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 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:
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Top Tweeters in G9:
Top Tweeters in G10: