The graph represents a network of 4,631 Twitter users whose recent tweets contained "Fleischindustrie OR Fleischlobby", 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 Thursday, 14 May 2020 at 08:04 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 23-minute period from Wednesday, 06 May 2020 at 05:32 UTC to Thursday, 14 May 2020 at 07:56 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 : 4631
Unique Edges : 7240
Edges With Duplicates : 1225
Total Edges : 8465
Number of Edge Types : 5
Replies to : 554
Retweet : 4745
MentionsInRetweet : 1436
Tweet : 912
Mentions : 818
Self-Loops : 932
Reciprocated Vertex Pair Ratio : 0.00847092605886576
Reciprocated Edge Ratio : 0.0167995444191344
Connected Components : 487
Single-Vertex Connected Components : 352
Maximum Vertices in a Connected Component : 3898
Maximum Edges in a Connected Component : 7706
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.113378
Graph Density : 0.000327588562943036
Modularity : 0.640936
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 4,631 Twitter users whose recent tweets contained "Fleischindustrie OR Fleischlobby", 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 Thursday, 14 May 2020 at 08:04 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 23-minute period from Wednesday, 06 May 2020 at 05:32 UTC to Thursday, 14 May 2020 at 07:56 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 : Fleischindustrie OR Fleischlobby
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:
[1132] billiges,supermarktfleisch [1125] covid,19 [1108] ausbeutung,arbeitnehmer [1101] fleischlobby,einfluss [1099] supermarktfleisch,verbindet [1099] verbindet,tierquälerei [1099] tierquälerei,antibiotikaresistenz [1099] antibiotikaresistenz,co2 [1099] co2,anstieg [1099] anstieg,erhöhung Top Word Pairs in Tweet in G1:
[905] covid,19 [905] fleischlobby,einfluss [904] billiges,supermarktfleisch [904] supermarktfleisch,verbindet [904] verbindet,tierquälerei [904] tierquälerei,antibiotikaresistenz [904] antibiotikaresistenz,co2 [904] co2,anstieg [904] anstieg,erhöhung [904] erhöhung,risiko Top Word Pairs in Tweet in G2:
[58] adrien,peter [51] kriminellen,milieu [46] katastrophale,unterbringung [43] #corona,#westfleisch [39] #fleischindustrie,setzt [39] setzt,zusammenarbeit [39] zusammenarbeit,subunternehmern [39] subunternehmern,kriminellen [39] milieu,fachjournalist [39] fachjournalist,adrien Top Word Pairs in Tweet in G3:
[52] arbeitsbedingungen,fleischindustrie [47] aktuelle,stunde [42] landwirtschaft,#fleischindustrie [35] sub,sub [34] ausbeutung,arbeitnehmer [34] covid,19 [34] entsetzlich,beschämend [33] klöckner,einreise [33] einreise,#saisonarbeiter [33] #saisonarbeiter,organisiert Top Word Pairs in Tweet in G4:
[14] corona,infektionen [12] 600,corona [11] corona,ausbruch [10] corona,infizierte [9] infizierte,fleischindustrie [8] fleischindustrie,strengere [8] strengere,vorgaben [8] vorgaben,corona [7] deutschen,fleischindustrie [7] deutsche,fleischindustrie Top Word Pairs in Tweet in G5:
[74] gründet,verschwinden [72] zeigt,geschäftsmodell [65] deutschen,fleischindustrie [60] schuften,osteuropäische [60] osteuropäische,beschäftigte [59] fleischindustrie,schuften [59] beschäftigte,werkverträgen [48] werkverträgen,rechtens [48] rechtens,csu [44] #fleischindustrie,zeigt Top Word Pairs in Tweet in G6:
[39] schlachthöfe,entwickeln [39] entwickeln,corona [39] corona,brennpunkten [38] billiges,supermarktfleisch [38] brennpunkten,branche [38] branche,schlechter [38] schlechter,arbeits [38] arbeits,unterkunftsbedingungen [38] unterkunftsbedingungen,kritik [38] kritik,prekären Top Word Pairs in Tweet in G7:
[87] billiges,fleisch [73] wahrheit,fleischindustrie [73] fleischindustrie,ans [73] ans,licht [72] deutschland,#usa [72] #usa,billiges [72] fleisch,geopfert [72] geopfert,#corona [72] #corona,bringt [72] bringt,wahrheit Top Word Pairs in Tweet in G8:
[59] #drecksjobs,#fleischindustrie [46] manager,#westfleisch [46] #westfleisch,subunternehmer [46] subunternehmer,behörden [46] behörden,polizei [46] polizei,ort [46] ort,landrat [46] landrat,#coesfeld [46] #coesfeld,landesregierung [46] landesregierung,bund Top Word Pairs in Tweet in G9:
[129] arbeits,wohnbedingungen [91] vertreterin,fleischindustrie [90] fleischindustrie,argumentiert [90] argumentiert,miserable [90] miserable,arbeits [90] wohnbedingungen,verbessert [90] verbessert,branche [90] branche,konkurrenzfähig [90] konkurrenzfähig,großartig [90] großartig,argumentieren Top Word Pairs in Tweet in G10:
[97] fleischindustrie,westfleisch [97] westfleisch,#corona [97] #corona,sippenhaft [97] sippenhaft,sehen [97] sehen,reminder [97] reminder,nrw [97] nrw,kontrollen [97] kontrollen,herbst [97] herbst,2019 [18] schön,arbeitsminister Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: