The graph represents a network of 9,484 Twitter users whose recent tweets contained "Impfpflicht", 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 09:27 UTC.
The tweets in the network were tweeted over the 7-day, 9-hour, 17-minute period from Tuesday, 05 January 2021 at 23:44 UTC to Wednesday, 13 January 2021 at 09:02 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 : 9484
Unique Edges : 15412
Edges With Duplicates : 3398
Total Edges : 18810
Number of Edge Types : 5
Tweet : 2868
Retweet : 8835
MentionsInRetweet : 1652
Replies to : 2852
Mentions : 2603
Self-Loops : 2927
Reciprocated Vertex Pair Ratio : 0.0102005651664484
Reciprocated Edge Ratio : 0.0201951286074913
Connected Components : 1403
Single-Vertex Connected Components : 1069
Maximum Vertices in a Connected Component : 7451
Maximum Edges in a Connected Component : 16561
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.569306
Graph Density : 0.000162970047446221
Modularity : 0.584604
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 9,484 Twitter users whose recent tweets contained "Impfpflicht", 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 09:27 UTC.
The tweets in the network were tweeted over the 7-day, 9-hour, 17-minute period from Tuesday, 05 January 2021 at 23:44 UTC to Wednesday, 13 January 2021 at 09:02 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 : Impfpflicht
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:
[740] markus,söder [677] impfpflicht,geben [641] corona,impfpflicht [617] geringe,impfbereitschaft [606] impfpflicht,pflegekräfte [574] impfen,lassen [550] impfpflicht,einführen [516] bessere,bezahlung [514] söder,beklagt [512] impfen,freiwillig Top Word Pairs in Tweet in G1:
[472] geringe,impfbereitschaft [469] markus,söder [433] impfpflicht,einführen [422] söder,beklagt [421] beklagt,pflegekräften [421] pflegekräften,gäbe [421] gäbe,geringe [421] impfbereitschaft,impfpflicht [421] einführen,impfen [421] impfen,freiwillig Top Word Pairs in Tweet in G2:
[79] impfen,lassen [64] impfpflicht,pflegekräfte [40] markus,söder [36] #impfpflicht,danke [35] danke,#corona [35] #corona,#impfzwang [35] #impfzwang,egal [35] egal,staatlich [35] staatlich,verordnet [35] verordnet,indirekt Top Word Pairs in Tweet in G3:
[194] #grundrechte,#bigpharma [194] #bigpharma,#korruption [157] #pressefreiheit,#propaganda [155] #stayhome,#teamreality [153] #korruption,#greatreset [152] #homeoffice,#pressefreiheit [149] #greatreset,#stayhome [137] #impfpflicht,#msm [102] #lockdownverlaengerung,#grundrechte [101] #teamreality,#impfpflicht Top Word Pairs in Tweet in G4:
[62] impfen,lassen [49] impfpflicht,pflegekräfte [40] markus_soeder,#impfpflicht [38] impfpflicht,geben [34] #impfpflicht,#coronavirus [33] markus_soeder,impfpflicht [29] #impfpflicht,#ffp2 [28] #impfpflicht,spiel [27] alten,pflegeheimen [27] #impfpflicht,tabu Top Word Pairs in Tweet in G5:
[133] 12h,schichten [106] infiziert,arbeiten [106] amp,co [105] fazit,pflegefachkräfte [105] pflegefachkräfte,pandemie [105] pandemie,aussetzen [105] aussetzen,personaluntergrenzen [105] personaluntergrenzen,12h [105] schichten,schutzmaterial [105] schutzmaterial,tests Top Word Pairs in Tweet in G6:
[235] impfpflicht,geben [131] geben,nachrichten [131] nachrichten,beiträge [131] beiträge,behaupten [131] behaupten,falsch [131] #coronavirus,#impfung [130] falsch,#coronavirus [130] #impfung,#pandemiebekämpfung [130] #pandemiebekämpfung,#schutzimpfung [61] mehrheit,deutschen Top Word Pairs in Tweet in G7:
[289] spiel,bringt [288] #pflegekräften,kündigungen [288] kündigungen,androht [288] androht,amp [288] amp,#zwangsimpfung [288] #zwangsimpfung,spiel [288] bringt,handelt [288] handelt,respektlos [288] respektlos,trägt [288] trägt,verunsicherung Top Word Pairs in Tweet in G8:
[295] corona,impfpflicht [293] impfpflicht,gesundheitsberufen [293] gesundheitsberufen,fordert [293] fordert,kontrolle [293] kontrolle,denken [293] denken,verloren [293] verloren,spaltet [293] spaltet,brauchen [293] brauchen,berufen [293] berufen,pflege Top Word Pairs in Tweet in G9:
[47] impfpflicht,pflegepersonal [41] ffp,masken [40] gedacht,weder [40] weder,forderung [40] forderung,impfpflicht [40] pflegepersonal,überraschende [40] überraschende,verpflichtung [40] verpflichtung,ffp [40] masken,söder [40] söder,verkündung Top Word Pairs in Tweet in G10:
[77] impfpflicht,geben [67] mauer,bauen [65] #impfpflicht,#impfen [64] bundesregierung,impfpflicht [63] unterstellt,morgenmagazin [63] morgenmagazin,bundesregierung [63] geben,schließlich [63] schließlich,mauer [63] bauen,ääähhhh [63] ääähhhh,mauer Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: