The graph represents a network of 2,864 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 10/1/2023 12:00:00 AM and 10/31/2023 11:59:59 PM. The network was obtained from Twitter on Tuesday, 07 November 2023 at 17:58 UTC.
The tweets in the network were tweeted over the 1101-day, 7-hour, 38-minute period from Sunday, 01 November 2020 at 11:20 UTC to Tuesday, 07 November 2023 at 18:58 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 : 3953
Unique Edges : 5846
Edges With Duplicates : 11121
Total Edges : 16967
Number of Edge Types : 9
Quote : 1830
Retweet : 603
Replies to : 4321
MentionsInReplyTo : 2682
Mentions : 2392
Tweet : 4189
MentionsInRetweet : 160
MentionsInQuote : 592
MentionsInQuoteReply : 198
Self-Loops : 5744
Reciprocated Vertex Pair Ratio : 0.00692410119840213
Reciprocated Edge Ratio : 0.0137529754033325
Connected Components : 47
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 3892
Maximum Edges in a Connected Component : 16767
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.073857
Graph Density : 0.000484053007452957
Modularity : -0.00247
NodeXL Version : 1.0.1.523
Data Import : The graph represents a network of 2,864 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 10/1/2023 12:00:00 AM and 10/31/2023 11:59:59 PM. The network was obtained from Twitter on Tuesday, 07 November 2023 at 17:58 UTC.
The tweets in the network were tweeted over the 1101-day, 7-hour, 38-minute period from Sunday, 01 November 2020 at 11:20 UTC to Tuesday, 07 November 2023 at 18:58 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.
Vertex Radius : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[157] herzlichen,glückwunsch [79] jüdinnen,juden [76] #berlin,#bundestag [76] #bundestag,#brandner [74] seite,israels [73] #wk194,#berlin [67] terror,hamas [67] #deutschlandabernormal,#wirhabendasdirektmandat [67] volle,solidarität [54] unserem,land Top Word Pairs in Tweet in Die Grünen:
[43] herzlichen,glückwunsch [35] jüdinnen,juden [26] volle,solidarität [23] terror,hamas [20] cdu,csu [18] jüdisches,leben [14] juden,deutschland [12] hass,hetze [12] humanitäre,hilfe [12] seite,israels Top Word Pairs in Tweet in SPD:
[29] digitalen,orbit [29] musiktipp,draußen [29] draußen,digitalen [22] herzlichen,glückwunsch [17] spdbt,seeheimer [16] bordesholm,musiktipp [16] seite,israels [16] guten,bordesholm [10] nahen,osten [10] almakleen,erikvonmalottki Top Word Pairs in Tweet in CDU/CSU:
[45] herzlichen,glückwunsch [25] seite,israels [19] terror,hamas [16] #hamas,#israel [16] unserem,land [14] existenzrecht,israels [13] jüdinnen,juden [13] cdu,csu [13] #hamas,terror [11] unseres,landes Top Word Pairs in Tweet in FDP:
[33] liebe,freunde [21] herzlichen,glückwunsch [21] seite,israels [18] jüdinnen,juden [18] jüdisches,leben [17] fdphessen,fdpbay [16] shani,louk [16] fdp,fdphessen [14] solidarität,#israel [13] hamas,terror Top Word Pairs in Tweet in AfD:
[76] #bundestag,#brandner [76] #berlin,#bundestag [73] #wk194,#berlin [67] #deutschlandabernormal,#wirhabendasdirektmandat [42] #fürdiebürger,#afd [36] findet,#telegram [36] #telegram,folgt [36] verpasst,neuigkeiten [36] folgt,co [34] oo7bogddms,verpasst Top Word Pairs in Tweet in Die Linke:
[12] linksfraktion,dielinke [10] blauen,himmel [10] herzlichen,glückwunsch [9] amira_m_ali,linksfraktion [7] genoss,innen [7] sahra,#wagenknecht [7] jüdinnen,juden [6] humanitäre,katastrophe [6] sahra,wagenknecht [6] volle,solidarität Top Word Pairs in Tweet in fraktionslos:
[3] deutschland,braucht [3] flensburger,förde [3] ideologischen,gründen [2] braucht,dringend [2] 14,milliarden [2] terrororganisation,#hamas [2] robert,#habeck [2] milliarden,euro [2] ideologischen,ziele [2] politik,#ampel Top Replied-To in Entire Graph:
Top Replied-To in Die Grünen:
Top Replied-To in SPD:
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 Die Grünen:
Top Mentioned in SPD:
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 Die Grünen:
Top Tweeters in SPD:
Top Tweeters in CDU/CSU:
Top Tweeters in FDP:
Top Tweeters in AfD:
Top Tweeters in Die Linke:
Top Tweeters in fraktionslos: