NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

Bundestag Follower Network 2023-01-26 full network - InDegree 3+ (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
SMRFoundation
Uploaded on:
February 02, 2023
Short Description:
Bundestag Follower Network 2023-01-26 via NodeXL https://bit.ly/3l6ESLX
@barackobama
@elonmusk
@katyperry
@rihanna
@taylorswift13
@realdonaldtrump
@narendramodi
@ladygaga
@youtube
@ellendegeneres

Top hashtags:


Description:
Description
The graph represents a network of 616 specified Twitter users (Bundestag Follower Network 2023-01-26). The network was obtained from Twitter on Friday, 27 January 2023 at 16:53 UTC.

It shows who was mentioned or replied to in the users' recent tweets, along with some of the follow relationships.

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.


[2685] of
[1169] privat
[1151] impressum
[1122] twittert
[1113] account
[1043] berlin
[1028] mitglied
[935] politik
[914] social
[789] journalist

[1006] of
[507] cdu
[499] impressum
[462] fdp
[429] privat
[410] account
[408] twittert
[379] politik
[364] berlin
[353] mitglied

[837] of
[697] spd
[401] twittert
[387] privat
[374] account
[364] impressum
[351] berlin
[332] social
[319] mitglied
[293] politik

[741] of
[380] social
[357] grünen
[314] privat
[287] berlin
[264] grüne
[257] twittert
[234] mastodon
[232] bündnis
[227] views

[374] afd
[171] #afd
[133] mitglied
[104] deutschland
[104] account
[101] of
[81] impressum
[75] twitter
[74] fraktion
[73] alternative

[262] twitter,account
[244] head,of
[218] 90,grünen
[216] bündnis,90
[187] impressum,datenschutz
[161] mastodon,social
[161] member,of
[157] privat,unterwegs
[153] social,media
[152] offizieller,account

[110] head,of
[84] impressum,datenschutz
[76] twitter,account
[73] social,media
[60] member,of
[55] privat,unterwegs
[54] privater,account
[50] offizieller,account
[50] mitglied,deutschen
[48] co,founder

[103] twitter,account
[68] mastodon,social
[58] privat,unterwegs
[56] head,of
[55] vorsitzender,spd
[54] account,of
[53] impressum,datenschutz
[52] offizieller,account
[44] offizieller,twitter
[44] member,of

[212] 90,grünen
[209] bündnis,90
[74] head,of
[68] mastodon,social
[61] human,rights
[54] gruene,social
[53] member,of
[49] co,founder
[45] twitter,account
[41] privat,unterwegs

[54] afd,fraktion
[47] alternative,deutschland
[38] twitter,account
[27] sachsen,anhalt
[26] offizieller,account
[23] vorsitzender,afd
[23] offizieller,twitter
[20] sprecher,afd
[17] baden,württemberg
[16] impressum,datenschutz

Author Description


Overall Graph Metrics
Vertices : 23539
Unique Edges : 290003
Edges With Duplicates : 0
Total Edges : 290003
Number of Edge Types : 1
Follows : 290003
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.0439009816167339
Reciprocated Edge Ratio : 0.0841094747295718
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 23539
Maximum Edges in a Connected Component : 290003
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.903452
Graph Density : 0.000523413503966969
Modularity : 0.37992
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 616 specified Twitter users (Bundestag Follower Network 2023-01-26). The network was obtained from Twitter on Friday, 27 January 2023 at 16:53 UTC.

It shows who was mentioned or replied to in the users' recent tweets, along with some of the follow relationships.

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : Bundestag Follower Network 2023-01-26
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Hashtags
Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@threadreaderapp
@remindme_ofthis
@independent
@andreasandy3131
@thehill
@reuters
@business
@guardian
@businessinsider
@na_presseportal

Top Tweeters in G1:
@remindme_ofthis
@independent
@thehill
@business
@huffpost
@nypost
@foxnews
@bbcnews
@faz_net
@washingtonpost

Top Tweeters in G2:
@andreasandy3131
@reuters
@guardian
@na_presseportal
@db_bahn
@welt
@skynews
@michael_kunz
@mokomokai
@nytimes

Top Tweeters in G3:
@cnnturk
@korallenherz
@france24
@cptleto
@saleemulhuq
@ajenglish
@bbattmer
@alaa
@thetimes
@fischblog

Top Tweeters in G4:
@threadreaderapp
@businessinsider
@mrstone0856
@zerohedge
@forbes
@abc
@dailycaller
@jerusalem_post
@hackenstad
@schwarzehexe5


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.