The graph represents a network of 5,919 Twitter users whose recent tweets contained "Petition lang:de", 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, 24 November 2020 at 12:42 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 8-minute period from Sunday, 15 November 2020 at 11:53 UTC to Tuesday, 24 November 2020 at 12:02 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 : 5919
Unique Edges : 8440
Edges With Duplicates : 1899
Total Edges : 10339
Number of Edge Types : 5
Retweet : 3963
MentionsInRetweet : 2074
Replies to : 1134
Tweet : 1303
Mentions : 1865
Self-Loops : 1355
Reciprocated Vertex Pair Ratio : 0.0173005978883094
Reciprocated Edge Ratio : 0.0340127547830436
Connected Components : 1053
Single-Vertex Connected Components : 584
Maximum Vertices in a Connected Component : 3764
Maximum Edges in a Connected Component : 7663
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.496529
Graph Density : 0.000228298887521817
Modularity : 0.726725
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,919 Twitter users whose recent tweets contained "Petition lang:de", 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, 24 November 2020 at 12:42 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 8-minute period from Sunday, 15 November 2020 at 11:53 UTC to Tuesday, 24 November 2020 at 12:02 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 : Petition lang:de
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:
[333] sayana,10 [324] familie,kadyrova [286] unterschreiben,bitte [282] ministerpräsident,daniel [281] 10,petition [279] kadyrova,schleswig [279] schleswig,holstein [279] holstein,kämpft [279] kämpft,abschiebung [279] abschiebung,gründe Top Word Pairs in Tweet in G1:
[315] sayana,10 [305] familie,kadyrova [261] kadyrova,schleswig [261] schleswig,holstein [261] holstein,kämpft [261] kämpft,abschiebung [261] abschiebung,gründe [261] gründe,schwer [261] schwer,nachvollziehbar [261] nachvollziehbar,übergibt Top Word Pairs in Tweet in G2:
[68] cdu,fraktionsvorsitzenden [68] fraktionsvorsitzenden,ralph [68] ralph,brinkhaus [68] brinkhaus,csu [68] csu,landesgruppenchef [68] landesgruppenchef,alexander [68] alexander,dobrindt [68] dringend,umfassende [68] umfassende,aushebelung [68] aushebelung,grundrechte Top Word Pairs in Tweet in G3:
[165] bürger,innenrat [144] bundesweiten,bürger [118] 50,000 [99] innenrat,klimapolitik [98] einberufung,bundesweiten [91] einhaltung,pariser [87] #klimamitbestimmung,#zukunftgestalten [86] pariser,klimaabkommens [86] klimaabkommens,amp [86] amp,starke Top Word Pairs in Tweet in G4:
[178] 18,11 [164] teilen,teilen [99] 11,2020 [89] bitte,unterschreibt [86] fast,188 [86] 188,tausend [86] tausend,unterschriften [86] unterschriften,12 [86] 12,11 [86] 11,schaffen Top Word Pairs in Tweet in G5:
[113] unterschrieben,#initiative [58] neuauflage,ifsg [57] #initiative,neuauflage [57] ifsg,ermächtigungsgrundlage [56] ermächtigungsgrundlage,openpetition [20] wilkau,haßlau [15] #initiative,bildungsgerechtigkeit [15] bildungsgerechtigkeit,gesundheitsschutz [15] gesundheitsschutz,pandemie [14] #haribo,wilkau Top Word Pairs in Tweet in G6:
[201] sign,petition [104] petition,change [73] unterschreiben,changeorg_india [44] animals,down [44] down,sign [43] not,animals [38] animal,abuse [37] nürnberger,tiergarten [37] tiergarten,lasst [37] lasst,löwe Top Word Pairs in Tweet in G7:
[36] kommentar,petition [19] petition,quorum [19] quorum,schaffen [19] schaffen,müssten [19] müssten,2500 [19] 2500,unterschriften [19] unterschriften,pro [19] pro,gesellschaft [19] gesellschaft,entscheidet [19] entscheidet,pflege Top Word Pairs in Tweet in G8:
[28] unterschreibt,petition [27] bitte,unterschreibt [21] langen,straße [20] brauchen,egal [20] egal,rostock [20] rostock,woanders [20] woanders,lebt [20] lebt,bitte [20] petition,fahrradfreundlichen [20] fahrradfreundlichen,umgestaltung Top Word Pairs in Tweet in G9:
[25] #kinderrechte,#grundgesetz [22] wünsche,erfolg [20] gesetz,kämpfen [19] erfolg,gesetz [16] 80,000 [16] verschiedenen,parteien [15] keep,balance [15] balance,mitmachen [15] mitmachen,lebewesen [15] lebewesen,hautoberfläche Top Word Pairs in Tweet in G10:
[43] #disasterpact,petition [41] geplanten,lager [41] lager,orte [41] orte,inhumanität [41] inhumanität,gewalt [41] gewalt,rechtlosigkeit [41] rechtlosigkeit,faires [41] faires,asylverfahren [41] asylverfahren,stattfinden [41] stattfinden,#moria 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: