bundestag Reddit NodeXL SNA Map and Report for Wednesday, 03 May 2023 at 11:22, 5/3/2023 1:50:38 PM, 291965


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bundestag Reddit NodeXL SNA Map and Report for Wednesday, 03 May 2023 at 11:22
bundestag Reddit NodeXL SNA Map and Report for Wednesday, 03 May 2023 at 11:22
From:
SMRFoundation
Uploaded on:
May 03, 2023
Description:
The graph represents a network of 482 Reddit users whose recent posts contained "bundestag", or commented, or replied in comments, or where tagged in posts or comments. The search was conducted on all subreddits. The network is limited to a maximum of 1000 posts going backward in time. The network was obtained from Reddit on Wednesday, 03 May 2023 at 11:33 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. There is an edge for each tagged user.

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: 482
Unique Edges: 570
Edges With Duplicates: 357
Total Edges: 927
Self-Loops: 262
Reciprocated Vertex Pair Ratio: 0.206122448979592
Reciprocated Edge Ratio: 0.341793570219966
Connected Components: 34
Single-Vertex Connected Components: 18
Maximum Vertices in a Connected Component: 285
Maximum Edges in a Connected Component: 600
Maximum Geodesic Distance (Diameter): 20
Average Geodesic Distance: 7.473012
Graph Density: 0.00254914985205442
Modularity: 0.523486
NodeXL Version: 1.0.1.512

Top 10 Vertices, Ranked by Betweenness Centrality:
germanauxmx
girasolede
numerous-departure92
sumpfbieber
surtlogi93
leomaster001
knoetzgroef
automoderator
ok_taste1324
clausklebot

Top Relationship in Entire Graph:
[437] RepliedTo
[248] Posted
[238] Commented
[1] Tagged

Top Relationship in G1:
[37] RepliedTo
[23] Commented
[1] Posted

Top Relationship in G2:
[64] RepliedTo
[19] Commented
[1] Posted

Top Relationship in G3:
[42] RepliedTo
[11] Commented
[1] Posted
[1] Tagged

Top Relationship in G4:
[194] Posted
[25] Commented
[20] RepliedTo

Top Relationship in G5:
[27] Commented
[11] RepliedTo
[2] Posted

Top Relationship in G6:
[24] RepliedTo
[20] Commented
[2] Posted

Top Relationship in G7:
[26] RepliedTo
[13] Commented
[2] Posted

Top Relationship in G8:
[35] RepliedTo
[13] Commented
[1] Posted

Top Relationship in G9:
[37] RepliedTo
[10] Commented
[2] Posted

Top Relationship in G10:
[34] RepliedTo
[13] Commented
[3] Posted

Top Subreddit in Entire Graph:
[188] bundestag
[182] de
[84] fuckcars
[75] deutschememes
[59] 600euro
[51] dezwo
[49] arbeitsleben
[40] germantrees
[27] UkrainianConflict
[18] FragReddit

Top Subreddit in G1:
[60] deutschememes
[1] de

Top Subreddit in G2:
[84] fuckcars

Top Subreddit in G3:
[55] de

Top Subreddit in G4:
[188] bundestag
[27] UkrainianConflict
[13] EndFPTP
[6] FragReddit
[4] recht
[1] deutschememes

Top Subreddit in G5:
[35] 600euro
[5] ichbin40undSchwurbler

Top Subreddit in G6:
[35] de
[11] autobloed

Top Subreddit in G7:
[23] de
[16] Nachrichten
[1] 600euro
[1] deutschememes

Top Subreddit in G8:
[49] arbeitsleben

Top Subreddit in G9:
[28] de
[21] germantrees

Top Subreddit in G10:
[50] dezwo

Top Words in Text in Entire Graph:
[930] die
[190] man
[124] ja
[95] mehr
[78] bundestag
[77] mal
[72] gibt
[60] keine
[60] speed
[58] weil

Top Words in Text in G1:
[57] die
[27] man
[15] einfach
[13] mal
[11] strecke
[10] ja
[9] transrapid
[8] halt
[6] japan
[6] wieder

Top Words in Text in G2:
[60] speed
[34] limit
[25] people
[21] more
[20] highways
[20] traffic
[14] gun
[14] car
[13] cars
[13] one

Top Words in Text in G3:
[97] die
[31] bahn
[16] ja
[14] unternehmen
[13] man
[13] halt
[12] mehr
[12] boni
[11] wieder
[10] würde

Top Words in Text in G4:
[44] die
[29] seats
[22] constituency
[17] party
[14] more
[14] message
[14] moderators
[13] ukrainianconflict
[12] please
[12] ag

Top Words in Text in G5:
[62] die
[12] man
[8] mehr
[8] mal
[7] immer
[7] weil
[7] viel
[7] rentner
[6] nichts
[6] bundestag

Top Words in Text in G6:
[43] die
[12] wagner
[10] kommt
[10] ki
[8] petition
[7] ja
[7] mal
[7] man
[6] gibt
[6] weg

Top Words in Text in G7:
[53] die
[19] eur
[19] 00
[19] 2021
[19] brutto
[9] man
[8] gmbh
[8] viel
[7] ja
[6] ganz

Top Words in Text in G8:
[79] die
[24] man
[16] mehr
[14] gibt
[13] ja
[11] mindestlohn
[11] leute
[10] igm
[10] deutschland
[9] stunden

Top Words in Text in G9:
[47] die
[15] eu
[10] nutzhanf
[9] verordnung
[7] 2021
[6] thc
[6] union
[6] 2023
[6] 2116
[6] geht

Top Words in Text in G10:
[36] die
[14] 000
[13] man
[7] ja
[7] linke
[6] mehr
[6] weil
[6] politiker
[5] mal
[5] nebeneinkünfte

Top Word Pairs in Text in Entire Graph:
[29] speed,limit
[23] die,afd
[20] junge,alternative
[19] die,junge
[19] die,bahn
[19] 00,eur
[19] eur,brutto
[16] die,linke
[14] ze,tt
[12] man,die

Top Word Pairs in Text in G1:
[3] strecke,die
[2] zügen,verstehst
[2] strecke,berlin
[2] berlin,münchen
[2] man,einfach
[2] nichts,zügen
[2] die,leute
[2] die,trassen
[2] neue,infrastruktur
[2] umziehen,wollen

Top Word Pairs in Text in G2:
[29] speed,limit
[12] speed,limits
[6] fuckcars,comments
[4] gun,violence
[4] traffic,flow
[4] noise,pollution
[4] smoother,traffic
[4] highways,speed
[4] comments,12zb1mp
[4] suicide,rates

Top Word Pairs in Text in G3:
[18] die,bahn
[3] millionen,euro
[3] keine,boni
[3] machen,die
[3] fürs,unternehmen
[2] 100,staatshand
[2] wieder,stattfindende
[2] betrag,wieder
[2] niemand,behaupten
[2] kassieren,darf

Top Word Pairs in Text in G4:
[11] message,compose
[10] constituency,winners
[8] please,contact
[8] performed,automatically
[8] bot,action
[8] automatically,please
[8] questions,concerns
[8] action,performed
[8] moderators,subreddit
[8] contact,moderators

Top Word Pairs in Text in G5:
[4] hartz,iv
[3] die,jungen
[3] leute,die
[3] ricarda,lang
[2] viel,mehr
[2] bundestag,ist's
[2] die,gleichen
[2] iv,bürgergeld
[2] jungen,leute
[2] gute,monate

Top Word Pairs in Text in G6:
[3] queen,margot
[3] sicherstellen,ki
[3] oktober,2025
[3] 02,oktober
[3] franz,josef
[3] müssen,sicherstellen
[2] erste,versuch
[2] allen,bundesautobahnen
[2] war,erste
[2] april,bundeskanzler

Top Word Pairs in Text in G7:
[19] eur,brutto
[19] 00,eur
[3] die,linken
[2] brutto,markus
[2] 2021,73
[2] halt,die
[2] kempten,2021
[2] weißenhorn,2021
[2] 000,euro
[2] die,abgeordneten

Top Word Pairs in Text in G8:
[4] die,leute
[4] igm,haustarif
[3] die,deutsche
[3] darum,billige
[3] die,jobs
[3] amputatorbot,comments
[3] reddit,amputatorbot
[2] mehr,steuern
[2] finden,bauchgefühl
[2] millionen,offene

Top Word Pairs in Text in G9:
[8] verordnung,eu
[7] eu,2021
[6] 2021,2116
[4] conference,96
[4] year,2023
[4] interessen,union
[4] 2023,conference
[4] bundestag,tagesordnung
[4] 16,year
[4] week,16

Top Word Pairs in Text in G10:
[4] die,linke
[3] weil,die
[2] verdienst,sinne
[2] linke,stimmt
[2] median,liegt
[2] rettung,afghanischen
[2] passives,einkommen
[2] nebenverdienste,höhe
[2] 18,000
[2] genus,verdienst
Tags:

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