The graph represents a network of 10,340 Twitter users whose recent tweets contained "Impfpflicht OR Zwangsimpfung", 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 Wednesday, 13 January 2021 at 11:25 UTC.
The tweets in the network were tweeted over the 7-day, 11-hour, 11-minute period from Tuesday, 05 January 2021 at 23:44 UTC to Wednesday, 13 January 2021 at 10:56 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 : 10340
Unique Edges : 17248
Edges With Duplicates : 3824
Total Edges : 21072
Number of Edge Types : 5
Tweet : 3131
Retweet : 9897
MentionsInRetweet : 1838
Mentions : 2967
Replies to : 3239
Self-Loops : 3197
Reciprocated Vertex Pair Ratio : 0.010995085995086
Reciprocated Edge Ratio : 0.0217510176802965
Connected Components : 1498
Single-Vertex Connected Components : 1144
Maximum Vertices in a Connected Component : 8215
Maximum Edges in a Connected Component : 18739
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.598705
Graph Density : 0.000153958748147659
Modularity : 0.579012
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 10,340 Twitter users whose recent tweets contained "Impfpflicht OR Zwangsimpfung", 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 Wednesday, 13 January 2021 at 11:25 UTC.
The tweets in the network were tweeted over the 7-day, 11-hour, 11-minute period from Tuesday, 05 January 2021 at 23:44 UTC to Wednesday, 13 January 2021 at 10:56 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 : Impfpflicht OR Zwangsimpfung
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:
[936] markus,söder [761] impfpflicht,geben [695] bessere,bezahlung [686] brauchen,berufen [679] impfpflicht,pflegekräfte [656] spiel,bringt [649] corona,impfpflicht [635] impfen,lassen [621] geringe,impfbereitschaft [556] impfpflicht,einführen Top Word Pairs in Tweet in G1:
[616] markus,söder [474] geringe,impfbereitschaft [435] impfpflicht,einführen [425] söder,beklagt [424] beklagt,pflegekräften [424] pflegekräften,gäbe [424] gäbe,geringe [424] impfbereitschaft,impfpflicht [424] einführen,impfen [424] impfen,freiwillig Top Word Pairs in Tweet in G2:
[83] impfen,lassen [65] impfpflicht,pflegekräfte [42] markus,söder [36] #impfpflicht,danke [35] impfpflicht,geben [35] danke,#corona [35] #corona,#impfzwang [35] #impfzwang,egal [35] egal,staatlich [35] staatlich,verordnet Top Word Pairs in Tweet in G3:
[97] impfen,lassen [84] impfpflicht,pflegekräfte [61] diskussion,#impfpflicht [57] impfpflicht,geben [53] debatte,#impfpflicht [53] markus_soeder,#impfpflicht [46] #impfpflicht,pflegekräfte [45] aktuelle,diskussion [43] ausreichend,#impfstoff [43] #impfstoff,flächendeckend Top Word Pairs in Tweet in G4:
[276] corona,impfpflicht [273] brauchen,berufen [273] bessere,bezahlung [271] impfpflicht,gesundheitsberufen [271] gesundheitsberufen,fordert [271] fordert,kontrolle [271] kontrolle,denken [271] denken,verloren [271] verloren,spaltet [271] spaltet,brauchen Top Word Pairs in Tweet in G5:
[183] #grundrechte,#bigpharma [183] #bigpharma,#korruption [152] #pressefreiheit,#propaganda [147] #homeoffice,#pressefreiheit [145] #stayhome,#teamreality [143] #korruption,#greatreset [139] #greatreset,#stayhome [132] bessere,bezahlung [130] brauchen,berufen [128] #impfpflicht,#msm Top Word Pairs in Tweet in G6:
[74] impfpflicht,pflegekräfte [43] impfen,lassen [42] #impfpflicht,pflegekräfte [40] impfpflicht,geben [33] markus,#söder [32] #impfpflicht,#coronavirus [27] alten,pflegeheimen [26] corona,impfpflicht [24] verweigerung,söder [24] denkt,laut Top Word Pairs in Tweet in G7:
[312] spiel,bringt [308] amp,#zwangsimpfung [307] #pflegekräften,kündigungen [307] kündigungen,androht [307] androht,amp [307] #zwangsimpfung,spiel [307] bringt,handelt [307] handelt,respektlos [307] respektlos,trägt [307] trägt,verunsicherung Top Word Pairs in Tweet in G8:
[222] impfpflicht,geben [125] geben,nachrichten [125] nachrichten,beiträge [125] beiträge,behaupten [125] behaupten,falsch [124] falsch,#coronavirus [124] #coronavirus,#impfung [124] #impfung,#pandemiebekämpfung [124] #pandemiebekämpfung,#schutzimpfung [62] mehrheit,deutschen Top Word Pairs in Tweet in G9:
[123] impfpflicht,geben [89] mauer,bauen [86] bundesregierung,impfpflicht [86] #impfpflicht,#impfen [85] unterstellt,morgenmagazin [85] morgenmagazin,bundesregierung [85] geben,schließlich [85] schließlich,mauer [85] bauen,ääähhhh [85] ääähhhh,mauer Top Word Pairs in Tweet in G10:
[261] impfzentren,andrang [261] andrang,krankenhäuser [261] krankenhäuser,kranke [260] ffp,pflicht [260] pflicht,ffp [260] ffp,masken [260] masken,impfpflicht [260] impfpflicht,impfstoff [260] impfstoff,impfzentren [260] kranke,digitalunterricht 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: