The graph represents a network of 7,437 Twitter users whose recent tweets contained "list:912241909002833921", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 100,000 tweets, tweeted between 5/1/2023 12:00:00 AM and 5/31/2023 11:59:59 AM. The network was obtained from Twitter on Thursday, 01 June 2023 at 14:16 UTC.
The tweets in the network were tweeted over the 1955-day, 0-hour, 11-minute period from Monday, 22 January 2018 at 18:46 UTC to Wednesday, 31 May 2023 at 18:57 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 498
Unique Edges : 1083
Edges With Duplicates : 6910
Total Edges : 7993
Number of Edge Types : 8
MentionsInRetweet : 2998
Mentions : 417
Retweet : 2291
MentionsInReplyTo : 1250
Replies to : 420
Quote : 386
MentionsInQuote : 190
MentionsInQuoteReply : 41
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.10041265474553
Reciprocated Edge Ratio : 0.1825
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 496
Maximum Edges in a Connected Component : 7991
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.054313
Graph Density : 0.0129289794994869
Modularity : 0.219346
NodeXL Version : 1.0.1.515
Data Import : The graph represents a network of 7,437 Twitter users whose recent tweets contained "list:912241909002833921", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 100,000 tweets, tweeted between 5/1/2023 12:00:00 AM and 5/31/2023 11:59:59 AM. The network was obtained from Twitter on Thursday, 01 June 2023 at 14:16 UTC.
The tweets in the network were tweeted over the 1955-day, 0-hour, 11-minute period from Monday, 22 January 2018 at 18:46 UTC to Wednesday, 31 May 2023 at 18:57 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : list:912241909002833921
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[61] volle,solidarität [46] herzlichen,glückwunsch [34] 04,2023 [27] robert,habeck [26] cdu,csu [24] 20,04 [24] zwischenruf_d,20 [23] robert,#habeck [21] pschnieder,yeone_rhie [21] causa,#graichen Top Word Pairs in Tweet in G1:
[29] herzlichen,glückwunsch [25] volle,solidarität [15] pschnieder,yeone_rhie [15] yeone_rhie,herbrandmarkus [11] solidarität,karambadiaby [11] robert,#habeck [10] matthiashauer,herzlichen [10] parlamentariergruppe,pschnieder [9] unwahrheiten,#spd [9] verbitte,unwahrheiten Top Word Pairs in Tweet in G2:
[29] volle,solidarität [19] klimafreundliche,heizungen [17] umstieg,klimafreundliche [17] massiv,fördern [17] schlagen,klimabonus [17] heizungen,massiv [17] klimabonus,unteren [17] fördern,schlagen [16] wohnung,warm [16] warm,wirtschaft Top Word Pairs in Tweet in G3:
[18] arbeit,leben [17] einbürgerung,leichter [17] marcobuschmann,einbürgerung [17] hände,arbeit [17] leben,regeln [17] leichter,hände [16] blockieren,retourkutsche [16] krass,#grünen [16] retourkutsche,fertige [16] konkreten,zeitplan Top Word Pairs in Tweet in G4:
[31] 04,2023 [21] zwischenruf_d,20 [21] 20,04 [5] ralf_stegner,spdbt [5] 19,04 [5] #afd,personal [5] personal,attackieren [5] zwischenruf_d,19 [5] zwischenruf_d,21 [5] 21,04 Top Word Pairs in Tweet in G5:
[6] sirthomasmarc,voglerk [5] schmutzigen,wettbewerbsvorteilen [5] pascalmeiser,höchste [5] wettbewerbsvorteilen,tarifflucht [5] tarifflucht,drucksache [5] höchste,schmutzigen [4] team,mwb [4] kristinavogt_hb,cbernhard_hb [4] members,of [4] carstenkoerber,victorperli Top Word Pairs in Tweet in G6:
[2] gabriela,heinrich 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 G7:
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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9: