The graph represents a network of 1,450 Twitter users whose recent tweets contained "#Lanz", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 9/18/2023 12:00:00 AM and 9/24/2023 11:59:59 PM. The network was obtained from Twitter on Tuesday, 24 October 2023 at 12:37 UTC.
The tweets in the network were tweeted over the 1778-day, 18-hour, 58-minute period from Monday, 10 December 2018 at 19:38 UTC to Tuesday, 24 October 2023 at 14:37 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 : 1450
Unique Edges : 1512
Edges With Duplicates : 1964
Total Edges : 3476
Number of Edge Types : 7
Replies to : 471
MentionsInReplyTo : 473
Quote : 247
Tweet : 1897
Mentions : 316
MentionsInQuoteReply : 10
MentionsInQuote : 62
Self-Loops : 1962
Reciprocated Vertex Pair Ratio : 0.00259965337954939
Reciprocated Edge Ratio : 0.00518582541054451
Connected Components : 643
Single-Vertex Connected Components : 575
Maximum Vertices in a Connected Component : 692
Maximum Edges in a Connected Component : 1903
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.870415
Graph Density : 0.000550677042431165
Modularity : 0.379106
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 1,450 Twitter users whose recent tweets contained "#Lanz", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 9/18/2023 12:00:00 AM and 9/24/2023 11:59:59 PM. The network was obtained from Twitter on Tuesday, 24 October 2023 at 12:37 UTC.
The tweets in the network were tweeted over the 1778-day, 18-hour, 58-minute period from Monday, 10 December 2018 at 19:38 UTC to Tuesday, 24 October 2023 at 14:37 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 : #Lanz
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[185] #esken,#lanz [125] #illner,#esken [116] #lanz,#olyscf [114] #zriaz,#ajamar [114] #nrkdebatt,#2hockey [114] #brighton,#gutsworldtour [114] #fc24,#teamom [114] #2hockey,#モニタリング分析 [114] #gutsworldtour,#illner [114] #franam,#fc24 Top Word Pairs in Tweet in G1:
[83] #lanz,#zdf [78] #zdf,#markuslanz [52] #wagenknecht,#lanz [35] #lanz,#wagenknecht [32] #esken,#lanz [30] frau,wagenknecht [26] frau,#wagenknecht [22] frau,esken [21] frau,#esken [17] #maischberger,#lanz Top Word Pairs in Tweet in G2:
[19] sabfis3,cschwennicke [19] eskensaskia,sabfis3 [18] markus__lanz,eskensaskia [14] #wagenknecht,#lanz [10] markus,#lanz [7] #lanz,#wagenknecht [7] frau,#wagenknecht [6] erikmarquardt,cschwennicke [6] #annewill,#lanz [5] herr,#lanz Top Word Pairs in Tweet in G3:
[20] florencegaub,derspiegel [19] punktpreradovic,florencegaub [14] #lanz,#wagenknecht [10] frau,#wagenknecht [10] florencegaub,markus__lanz [9] markus__lanz,timolmn [8] frau,gaub [5] #lanz,sendung [5] florencegaub,swagenknecht [5] wasser,reichen Top Word Pairs in Tweet in G4:
[10] #esken,#lanz [6] geld,investieren [6] #maischberger,#lanz [6] sozialleistungausplünderern,falsche [6] parallel,ticktok [6] lehrern,fehlenden [6] hause,unterrichtsausfall [6] nachhilfe,sozialleistungausplünderern [6] pro,unterricht [6] #lanz,#maischberger Top Word Pairs in Tweet in G5:
[6] #wagenknecht,#lanz [3] #markuslanz,#lanz [3] #lanz,florencegaub [3] markus,#lanz [3] sahra,#wagenknecht [3] #lanz,#wagenknecht [3] swagenknecht,#lanz [2] dielinke,#markuslanz [2] swagenknecht,markus__lanz [2] waffen,nazis Top Word Pairs in Tweet in G6:
[8] #lanz,#wagenknecht [7] #illner,#lanz [6] #wagenknecht,#lanz [6] zdfmarkuslanz,markuslanz [5] #zdf,zdfmarkuslanz [5] markuslanz,zdfpresse [4] #lanz,#maischberger [3] #maischberger,#illner [3] #maischberger,#lanz [3] #lanz,#illner Top Word Pairs in Tweet in G7:
[10] #esken,#lanz [7] frau,#esken [3] #illner,#lanz [2] richter,richter [2] esken,stark [2] frau,fischer [2] zahlt,milliarden [2] zdfheute,#esken [2] #lanz,#esken [2] #lanz,sendung Top Word Pairs in Tweet in G8:
[11] mz_storymakers,#lanz [3] #wagenknecht,#lanz [3] frau,#wagenknecht [2] russisches,gas [2] #lanz,#wagenknecht [2] #lanz,sendung [2] voll,#lanz [2] shomburg,brinkmannlab [2] brinkmannlab,#lanz [2] #lanz,unfähig Top Word Pairs in Tweet in G9:
[3] #esken,#lanz [3] herr,#lanz [3] wagenknecht,einfach [3] markuslanztv,#lanz [2] ansatzweise,herzblut [2] florence,gaub [2] #lanz,erwartet [2] wagenknecht,sofortlösungen [2] themen,zeigen [2] relevanten,themen Top Word Pairs in Tweet in G10:
[2] #esken,#lanz [2] frau,#esken [2] #maischberger,#lanz 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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 Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: