The graph represents a network of 7,095 Twitter users whose recent tweets contained "#AnneSpiegel until:2022-04-11", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 12 April 2022 at 07:48 UTC.
The tweets in the network were tweeted over the 4-hour, 38-minute period from Sunday, 10 April 2022 at 19:20 UTC to Sunday, 10 April 2022 at 23:59 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 7095
Unique Edges : 16797
Edges With Duplicates : 4284
Total Edges : 21081
Number of Edge Types : 5
Tweet : 2937
Retweet : 13936
Replies to : 1776
MentionsInRetweet : 1598
Mentions : 834
Self-Loops : 2979
Reciprocated Vertex Pair Ratio : 0.00127512295828526
Reciprocated Edge Ratio : 0.00254699818071559
Connected Components : 921
Single-Vertex Connected Components : 866
Maximum Vertices in a Connected Component : 6100
Maximum Edges in a Connected Component : 19934
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.957593
Graph Density : 0.000327625028485894
Modularity : 0.450674
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,095 Twitter users whose recent tweets contained "#AnneSpiegel until:2022-04-11", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 12 April 2022 at 07:48 UTC.
The tweets in the network were tweeted over the 4-hour, 38-minute period from Sunday, 10 April 2022 at 19:20 UTC to Sunday, 10 April 2022 at 23:59 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #AnneSpiegel until:2022-04-11
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[962] 134,tote [771] politisches,versagen [696] rücktrittswürdiges,politisches [638] #annespiegel,#annespiegelruecktritt [624] #annespiegel,erfährt [624] erfährt,stress [624] stress,ferngehalten [624] ferngehalten,folgerichtig [624] folgerichtig,ministerin [624] ministerin,mitverantwortlich Top Word Pairs in Tweet in G1:
[560] politisches,versagen [541] 134,tote [502] rücktrittswürdiges,politisches [434] #annespiegel,erfährt [434] erfährt,stress [434] stress,ferngehalten [434] ferngehalten,folgerichtig [434] folgerichtig,ministerin [434] ministerin,mitverantwortlich [434] mitverantwortlich,134 Top Word Pairs in Tweet in G2:
[367] rücktritt,fordern [359] rücktritt,#annespiegel [357] #annespiegel,rücktritt [340] fordern,rücktritt [336] maskendeals,korruption [334] konservative,fordern [334] fordern,amthor [334] amthor,scheuer [334] scheuer,klöckner [334] klöckner,maskendeals Top Word Pairs in Tweet in G3:
[167] irgendwie,abbinden [150] falsche,angaben [126] 134,tote [100] politisches,versagen [96] #annespiegel,#annespiegelruecktritt [96] rücktrittswürdiges,politisches [92] wochen,urlaub [89] ministerin,#annespiegel [88] brisant,#annespiegel [88] #annespiegel,umweltrlp Top Word Pairs in Tweet in G4:
[29] wochen,urlaub [24] anne,spiegel [18] statement,#annespiegel [16] frau,spiegel [16] #annespiegel,#annespiegelruecktritt [15] frau,#annespiegel [12] auftritt,#annespiegel [12] #annespiegel,einfach [12] ministerin,#annespiegel [11] rücktritt,#annespiegel Top Word Pairs in Tweet in G5:
[122] #annespiegel,fehler [122] fehler,schiebt [122] schiebt,kranken [122] kranken,einlage [122] einlage,getoppt [122] getoppt,flutkatastrophe [122] flutkatastrophe,denkt [122] denkt,wirkt [122] wirkt,mitteilungen [122] mitteilungen,''abbinden'' Top Word Pairs in Tweet in G6:
[43] #annespiegel,#annespiegelruecktritt [38] 134,tote [27] statement,#annespiegel [27] rücktritt,#annespiegel [26] politisches,versagen [24] frau,#annespiegel [24] rücktrittswürdiges,politisches [23] entschuldigung,#annespiegel [20] wochen,urlaub [20] #spiegel,welt Top Word Pairs in Tweet in G7:
[185] bundesministerin,#annespiegel [183] vorwürfen,zusammenhang [183] zusammenhang,flutkatastrophe [182] erstaunlichen,presseerklärung [182] presseerklärung,bundesministerin [182] #annespiegel,vorwürfen [182] flutkatastrophe,abend [34] familiären,probleme [34] probleme,#annespiegel [34] #annespiegel,leid Top Word Pairs in Tweet in G8:
[109] bettina,schausten [108] entschuldigung,#annespiegel [108] #annespiegel,zeichen [108] zeichen,politische [108] politische,kultur [108] kultur,politiker [108] politiker,fehler [108] fehler,eingestehen [107] eingestehen,staatsfunk [106] zdf,lobt Top Word Pairs in Tweet in G9:
[74] familienministerin,#annespiegel [72] rücktritt,jeglicher [72] jeglicher,hinsicht [72] hinsicht,angreifbare [72] angreifbare,familienministerin [72] #annespiegel,vorab [72] vorab,sagen [72] sagen,live [72] live,statement [72] statement,handelt Top Word Pairs in Tweet in G10:
[198] urlaubt,wochen [109] 134,tote [101] malu,dreyer [100] nrw,48 [100] 48,tote [100] rheinland,pfalz [100] pfalz,134 [99] tote,laschet [99] laschet,lacht [99] lacht,wahlverlierer 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 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 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: