lobbyismus Reddit NodeXL SNA Map and Report for Wednesday, 31 May 2023 at 12:59, 5/31/2023 1:30:34 PM, 292047


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lobbyismus Reddit NodeXL SNA Map and Report for Wednesday, 31 May 2023 at 12:59
lobbyismus Reddit NodeXL SNA Map and Report for Wednesday, 31 May 2023 at 12:59
From:
SMRFoundation
Uploaded on:
May 31, 2023
Description:
The graph represents a network of 1,471 Reddit users whose recent posts contained "lobbyismus", or commented, or replied in comments. The search was conducted on all subreddits. The network is limited to a maximum of 250 posts going backward in time. The network was obtained from Reddit on Wednesday, 31 May 2023 at 13:25 UTC.

There is an edge for each created post an edge for each comment in a post, an edge for each reply to a comment.

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.

The edge colors are based on edge weight values. The edge widths are based on edge weight values. The edge opacities are based on edge weight values. The vertex sizes are based on in-degree values.

Overall Graph Metrics:
Vertices: 1471
Unique Edges: 1821
Edges With Duplicates: 661
Total Edges: 2482
Self-Loops: 202
Reciprocated Vertex Pair Ratio: 0.209846153846154
Reciprocated Edge Ratio: 0.346897253306205
Connected Components: 105
Single-Vertex Connected Components: 72
Maximum Vertices in a Connected Component: 1172
Maximum Edges in a Connected Component: 2037
Maximum Geodesic Distance (Diameter): 24
Average Geodesic Distance: 7.767771
Graph Density: 0.000909187604341533
Modularity: 0.61784
NodeXL Version: 1.0.1.515

Top 10 Vertices, Ranked by Betweenness Centrality:
janfkennedy
der_wind
kasimirdd
huntstarjonny
cubistmuc
kaisergsaw
clemesislife
q5pi
pocoboco
ganbaro

Top Relationship in Entire Graph:
[1534] RepliedTo
[776] Commented
[172] Posted

Top Relationship in G1:
[72] RepliedTo
[59] Commented
[1] Posted

Top Relationship in G2:
[186] RepliedTo
[49] Commented
[3] Posted

Top Relationship in G3:
[112] RepliedTo
[55] Commented
[2] Posted

Top Relationship in G4:
[99] RepliedTo
[54] Commented
[1] Posted

Top Relationship in G5:
[66] RepliedTo
[61] Commented
[4] Posted

Top Relationship in G6:
[59] RepliedTo
[59] Commented
[1] Posted

Top Relationship in G7:
[45] Posted
[4] Commented
[1] RepliedTo

Top Relationship in G8:
[78] RepliedTo
[23] Commented
[4] Posted

Top Relationship in G9:
[107] RepliedTo
[27] Commented
[6] Posted

Top Relationship in G10:
[56] RepliedTo
[20] Commented
[5] Posted

Top Subreddit in Entire Graph:
[940] de
[394] Finanzen
[191] dezwo
[161] deutschememes
[124] Austria
[114] FragReddit
[85] spacefrogs
[68] ich_iel
[43] IndiaSpeaks
[41] de_IAmA

Top Subreddit in G1:
[128] de
[2] dezwo
[2] Finanzen

Top Subreddit in G2:
[214] Finanzen
[17] de
[6] dezwo
[1] FragReddit

Top Subreddit in G3:
[163] dezwo
[5] Finanzen
[1] de

Top Subreddit in G4:
[123] Finanzen
[30] de
[1] dezwo

Top Subreddit in G5:
[129] de
[2] ZDFMagazin

Top Subreddit in G6:
[119] Austria

Top Subreddit in G7:
[5] u_dietageszeitung
[4] de
[3] PolitischeNachrichten
[3] netzpolitik
[3] CDU
[2] my__watchlist
[2] removalbot
[2] elhotzo
[2] SurveyCircle_de
[2] u_haolam_de

Top Subreddit in G8:
[96] de
[9] Dachschaden

Top Subreddit in G9:
[125] de
[7] umwelt_de
[4] Dachschaden
[2] po2ilei
[1] dezwo
[1] Verkehrswende

Top Subreddit in G10:
[78] de
[2] u_StraightOuttaOlaphis
[1] bundestag

Top Words in Text in Entire Graph:
[247] keine
[230] lobbyismus
[202] geld
[183] reddit
[177] menschen
[170] leute
[167] comments
[162] gut
[158] politik
[145] cdu

Top Words in Text in G1:
[22] cdu
[11] korruption
[9] grünen
[8] tiktok
[6] amthor
[6] china
[6] wahlkampf
[5] scheiße
[5] verdacht
[5] richtig

Top Words in Text in G2:
[38] fdp
[33] keine
[31] provision
[28] gut
[28] leute
[26] geld
[26] beratung
[22] berater
[20] natürlich
[18] kosten

Top Words in Text in G3:
[20] tesla
[15] keine
[15] besser
[14] eu
[13] deutschland
[11] jahren
[11] ki
[11] automatisierung
[10] grünen
[9] problem

Top Words in Text in G4:
[41] reich
[24] geld
[23] einkommen
[22] leute
[16] netto
[16] merkur
[14] tempolimit
[14] quelle
[13] single
[13] münchen

Top Words in Text in G5:
[13] cdu
[11] korruption
[8] wählen
[8] deutschland
[7] gegen
[7] kampf
[7] arbeit
[6] geld
[6] bundestag
[6] keine

Top Words in Text in G6:
[58] bücher
[31] buch
[13] schulbücher
[13] schule
[11] schüler
[10] geld
[9] bekommt
[9] bekommen
[9] ende
[8] damals

Top Words in Text in G7:
[18] menschen
[14] #####
[11] lobbyismus
[9] bundestag
[8] kreis
[7] spd
[6] gerne
[6] haus
[6] junge
[6] comments

Top Words in Text in G8:
[50] amazon
[18] problem
[15] einzelhandel
[10] message
[9] gerne
[8] deutsche
[8] reddit
[8] gut
[8] deutschland
[8] fehler

Top Words in Text in G9:
[36] eu
[25] rat
[23] parlament
[16] kommission
[14] politik
[14] weniger
[14] cdu
[14] leute
[13] keine
[13] problem

Top Words in Text in G10:
[86] reddit
[85] comments
[50] c3
[13] cdu
[10] lobbyismus
[10] wählen
[9] union
[9] klimaschutz
[9] parteispenden
[8] linken

Top Word Pairs in Text in Entire Graph:
[73] reddit,comments
[52] reddit,indiaspeaks
[49] indiaspeaks,comments
[48] dradio,file
[48] file,dradio
[48] mp3,dradio
[48] ondemand,mp3
[43] _,_
[34] insgesamt,user
[34] gegendert,privileg

Top Word Pairs in Text in G1:
[2] zurück,grünen
[2] augustus,intelligence
[2] glücklich,überhaupt
[2] korruption,betreiben
[2] comedy,anstalt
[2] einzug,gehalten
[2] ruhe,glücklich
[2] cdu,cdu
[2] china,spionage
[2] deutlich,schlimmer

Top Word Pairs in Text in G2:
[5] tisch,gezogen
[5] keine,provision
[5] deka,fonds
[5] anspruch,nehmen
[4] bu,versicherung
[4] provision,verdient
[4] grün,gelb
[3] land,eu
[3] partei,deutschland
[3] leistung,kosten

Top Word Pairs in Text in G3:
[6] tesla,plant
[4] automatisierung,tesla
[3] eu,eu
[3] problem,länder
[3] produktionskosten,50
[3] nächsten,jahren
[3] jahren,produktionskosten
[3] klima,kleber
[3] stellt,richtigen
[3] 50,senken

Top Word Pairs in Text in G4:
[4] 3347,netto
[4] menge,holz
[3] 4k,netto
[3] strecken,tempolimit
[3] oberen,10
[3] münchner,großraum
[3] 3347,euro
[3] 900,1000
[2] spitzensteuersatz,ehepaar
[2] 130,km

Top Word Pairs in Text in G5:
[6] cdu,csu
[3] gegen,korruption
[2] bestätigen,anreiz
[2] minister,amt
[2] riesig,getan
[2] grund,durchbruch
[2] panik,union
[2] helle,panik
[2] vernünftiges,leisten
[2] grünen,spd

Top Word Pairs in Text in G6:
[4] ende,jahres
[3] keine,bücher
[2] aufgaben,heft
[2] teurer,bücher
[2] neu,gekauft
[2] batzen,teurer
[2] buch,zahlen
[2] ende,schuljahres
[2] bekommen,schüler
[2] schulen,bücher

Top Word Pairs in Text in G7:
[5] junge,menschen
[5] erft,kreis
[5] rhein,erft
[4] haus,cannith
[4] undelete,link
[3] comments,j2vpcc
[3] comments,j7uj10
[3] gerne,akkordeon
[2] spd,jungen
[2] diskreten,lobbyjobs

Top Word Pairs in Text in G8:
[6] deutsche,einzelhandel
[5] reddit,message
[5] deutschen,einzelhandel
[5] message,compose
[4] amazon,amazon
[4] compose,remindmebot
[4] normalen,arbeitnehmern
[4] remindmebot,subject
[3] amazon,erwirtschaftet
[3] tätigkeiten,ruhen

Top Word Pairs in Text in G9:
[13] eu,rat
[6] europäischen,rat
[6] eu,parlament
[6] np,reddit
[5] rat,europäischen
[5] eu,kommission
[5] reichsten,10
[4] reddit,energy
[3] saudi,arabien
[3] zwei,drei

Top Word Pairs in Text in G10:
[69] reddit,comments
[6] _f,c3
[6] reddit,user
[6] straightouttaolaphis,comments
[6] user,straightouttaolaphis
[5] c3,bcr
[5] mündige,wähler
[4] reddit,gamingcirclejerk
[4] gamingcirclejerk,comments
[3] naturschutz,artenschutz
Tags:

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