The graph represents a network of 5,500 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 50,000 tweets, tweeted between 9/1/2023 12:00:00 AM and 9/30/2023 11:59:59 PM. The network was obtained from Twitter on Wednesday, 04 October 2023 at 16:17 UTC.
The tweets in the network were tweeted over the 2253-day, 10-hour, 48-minute period from Thursday, 03 August 2017 at 07:29 UTC to Wednesday, 04 October 2023 at 18:17 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 party values.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 5021
Unique Edges : 7850
Edges With Duplicates : 14441
Total Edges : 22291
Number of Edge Types : 9
MentionsInRetweet : 859
Retweet : 2181
Quote : 2086
Replies to : 5656
MentionsInReplyTo : 3327
Mentions : 2776
MentionsInQuote : 714
Tweet : 4568
MentionsInQuoteReply : 124
Self-Loops : 6508
Reciprocated Vertex Pair Ratio : 0.0117647058823529
Reciprocated Edge Ratio : 0.0232558139534884
Connected Components : 25
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 4984
Maximum Edges in a Connected Component : 22157
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.921317
Graph Density : 0.000409435748343015
Modularity : 0.005396
NodeXL Version : 1.0.1.522
Data Import : The graph represents a network of 5,500 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 50,000 tweets, tweeted between 9/1/2023 12:00:00 AM and 9/30/2023 11:59:59 PM. The network was obtained from Twitter on Wednesday, 04 October 2023 at 16:17 UTC.
The tweets in the network were tweeted over the 2253-day, 10-hour, 48-minute period from Thursday, 03 August 2017 at 07:29 UTC to Wednesday, 04 October 2023 at 18:17 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 : TwitterSearch3
Graph Term : list:912241909002833921
Groups : The graph's vertices were grouped by party values.
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[162] herzlichen,glückwunsch [82] #berlin,#bundestag [79] #bundestag,#brandner [75] #wk194,#berlin [65] #deutschlandabernormal,#wirhabendasdirektmandat [61] #telegram,folgt [61] folgt,co [61] verpasst,neuigkeiten [61] findet,#telegram [56] oo7bogddms,verpasst Top Word Pairs in Tweet in SPD:
[37] herzlichen,glückwunsch [29] digitalen,orbit [29] musiktipp,draußen [29] draußen,digitalen [15] bordesholm,musiktipp [15] guten,bordesholm [12] guten,berlin [11] millionen,euro [11] berlin,musiktipp [10] friedrich,#merz Top Word Pairs in Tweet in Die Grünen:
[46] gruenebundestag,#kindergrundsicherung [39] gerechter,einfacher [39] einfacher,zugänglicher [39] #kindergrundsicherung,unterstützung [38] unterstützung,gerechter [38] zugänglicher,schafft [30] herzlichen,glückwunsch [29] friedrich,#merz [25] cdu,csu [24] bürger,innen Top Word Pairs in Tweet in CDU/CSU:
[47] herzlichen,glückwunsch [19] frau,#faeser [13] cduberlin,herzlichen [13] nancy,#faeser [11] nehmt,minuten [11] cducsupm,presseinfo [11] hört,laumann [11] minuten,hört [11] baha_jam,nehmt [11] olaf,scholz Top Word Pairs in Tweet in FDP:
[30] liebe,freunde [30] sitzt,kreml [24] herzlichen,glückwunsch [23] diktator,kreml [22] abzug,invasionstruppen [18] wichtiger,schritt [18] kriegstreiber,sitzt [16] christian,lindner [12] tl,#haushalt [12] #putin,#angriffskrieg Top Word Pairs in Tweet in AfD:
[80] #berlin,#bundestag [79] #bundestag,#brandner [75] #wk194,#berlin [65] #deutschlandabernormal,#wirhabendasdirektmandat [61] findet,#telegram [61] #telegram,folgt [61] verpasst,neuigkeiten [61] folgt,co [56] oo7bogddms,verpasst [56] co,oo7bogddms Top Word Pairs in Tweet in Die Linke:
[13] mieter,innen [9] dielinke,schirdewan [8] schirdewan,carorackete [8] ausbildungsoffensive,lehrkräfte [8] spd,grüne [8] bildung,forschung [7] bundestag,anträge [7] linksfraktion,gg [7] millionen,euro [7] anträge,linksfraktion Top Word Pairs in Tweet in fraktionslos:
[3] #ampel,koalition [2] vertrauen,politik [2] #faeser,innenministerin [2] frau,#faeser [2] robert,#habeck [2] olaf,scholz Top Replied-To in Entire Graph:
Top Replied-To in SPD:
Top Replied-To in Die Grünen:
Top Replied-To in CDU/CSU:
Top Replied-To in FDP:
Top Replied-To in AfD:
Top Replied-To in Die Linke:
Top Replied-To in fraktionslos:
Top Mentioned in Entire Graph:
Top Mentioned in SPD:
Top Mentioned in Die Grünen:
Top Mentioned in CDU/CSU:
Top Mentioned in FDP:
Top Mentioned in AfD:
Top Mentioned in Die Linke:
Top Mentioned in fraktionslos:
Top Tweeters in Entire Graph:
Top Tweeters in xternal:
Top Tweeters in SPD:
Top Tweeters in Die Grünen:
Top Tweeters in CDU/CSU:
Top Tweeters in FDP:
Top Tweeters in AfD:
Top Tweeters in Die Linke:
Top Tweeters in fraktionslos: