The graph represents a network of 9,810 Twitter users whose recent tweets contained "AfD (corona OR coronavirus OR covid OR covid-19 OR covid19 OR ncov19 OR ncov2019 OR cov-2) 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 Wednesday, 18 March 2020 at 18:34 UTC.
The tweets in the network were tweeted over the 5-day, 7-hour, 41-minute period from Friday, 13 March 2020 at 10:24 UTC to Wednesday, 18 March 2020 at 18:06 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 : 9810
Unique Edges : 19633
Edges With Duplicates : 3924
Total Edges : 23557
Number of Edge Types : 5
Tweet : 1460
Retweet : 11061
MentionsInRetweet : 7354
Replies to : 1598
Mentions : 2084
Self-Loops : 1493
Reciprocated Vertex Pair Ratio : 0.00178606866441754
Reciprocated Edge Ratio : 0.00356576862123613
Connected Components : 508
Single-Vertex Connected Components : 379
Maximum Vertices in a Connected Component : 9087
Maximum Edges in a Connected Component : 22846
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.916165
Graph Density : 0.000209838704162864
Modularity : 0.523958
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 9,810 Twitter users whose recent tweets contained "AfD (corona OR coronavirus OR covid OR covid-19 OR covid19 OR ncov19 OR ncov2019 OR cov-2) 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 Wednesday, 18 March 2020 at 18:34 UTC.
The tweets in the network were tweeted over the 5-day, 7-hour, 41-minute period from Friday, 13 March 2020 at 10:24 UTC to Wednesday, 18 March 2020 at 18:06 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 : AfD (corona OR coronavirus OR covid OR covid-19 OR covid19 OR ncov19 OR ncov2019 OR cov-2) 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:
[3057] #corona,krise [1627] klein,unwichtig [1627] politiker,afd [1627] häme,hohn [1627] krise,wirken [1627] wirken,tragen [1627] tragen,bewältigung [1627] bewältigung,gesellschaftlichen [1627] gesellschaftlichen,notsituation [1626] unwichtig,politiker Top Word Pairs in Tweet in G1:
[1137] #corona,krise [471] grenzen,schließen [458] cdu,afd [454] #coronavirus,krise [453] regsprecher,cdu [451] frau,#merkel [449] #merkel,deutschen [449] deutschen,jahrelang [449] jahrelang,eiskalt [449] eiskalt,belogen Top Word Pairs in Tweet in G2:
[312] ältere,schützen [228] ziele,nutzen [224] fordern,grenzschließungen [219] rechtsradikale,versuchen [216] träumen,demokratie [216] pandemie,ziele [215] ultimative,niedergangsbeschleuniger [212] grenzschließungen,horten [212] horten,lebensmittel [210] lebensmittel,träumen Top Word Pairs in Tweet in G3:
[1421] #corona,krise [1416] klein,unwichtig [1416] unwichtig,politiker [1416] politiker,afd [1416] afd,mitsamt [1416] mitsamt,tiraden [1416] tiraden,häme [1416] häme,hohn [1416] hohn,zynismus [1416] zynismus,#corona Top Word Pairs in Tweet in G4:
[319] stellt,partei [319] partei,wirtschaftsinteressen [319] wirtschaftsinteressen,existenz [319] existenz,#covid_19 [319] #covid_19,leugnen [319] leugnen,absicht [319] absicht,leuten [319] leuten,gesicht [319] gesicht,niesen [319] niesen,schulschließungen Top Word Pairs in Tweet in G5:
[361] #afd,politiker [231] stimmt,#afd [231] politiker,jan [231] jan,drastische [231] drastische,maßnahmen [231] maßnahmen,angemahnt [231] angemahnt,schockierende [231] schockierende,bilder [231] bilder,amp [231] amp,videos Top Word Pairs in Tweet in G6:
[315] #corona,#afd [312] medizinische,personal [312] personal,beschäftigten [312] beschäftigten,einzelhandel [312] einzelhandel,handwerker [312] handwerker,polizisten [312] polizisten,feuerwehrleute [312] feuerwehrleute,taxifahrer [312] taxifahrer,beschäftigten [312] beschäftigten,öffentlichen Top Word Pairs in Tweet in G7:
[22] corona,krise [15] afd,corona [11] covid,19 [11] afd,ultimative [10] #cdu,#spd [10] afd,wähler [10] ultimative,niedergangsbeschleuniger [9] corona,maßnahmen [9] corona,afd [9] corona,pandemie Top Word Pairs in Tweet in G8:
[119] afd,werteunion [115] #merz,afd [115] werteunion,kanzleramt [115] kanzleramt,netflix [115] netflix,rtl [115] rtl,#covid2019 [115] #covid2019,informieren [115] informieren,inkl [115] inkl,werbeblock [115] werbeblock,#ibuprofen Top Word Pairs in Tweet in G9:
[67] derzeit,erleben [67] erleben,hamsterkäufe [67] hamsterkäufe,deutschland [67] deutschland,684 [67] 684,coronavirus [67] coronavirus,infiziert [67] infiziert,878 [67] 878,115 [67] 115,afd [67] afd,bundestag Top Word Pairs in Tweet in G10:
[73] tafeln,schließen [73] schließen,lebensmittel [73] lebensmittel,knapp [73] knapp,angeblich [73] angeblich,geflüchtete [73] geflüchtete,ausländer [73] ausländer,tafeln [73] tafeln,vorsichtsmaßnahme [73] vorsichtsmaßnahme,wg [73] wg,covid19 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 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: