The graph represents a network of 8,853 Twitter users whose recent tweets contained "Corona lang:de", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Thursday, 27 February 2020 at 07:39 UTC.
The tweets in the network were tweeted over the 13-hour, 2-minute period from Wednesday, 26 February 2020 at 18:27 UTC to Thursday, 27 February 2020 at 07:29 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 : 8853
Unique Edges : 10632
Edges With Duplicates : 1379
Total Edges : 12011
Number of Edge Types : 5
Retweet : 5314
Mentions : 1377
Tweet : 2508
MentionsInRetweet : 1246
Replies to : 1566
Self-Loops : 2552
Reciprocated Vertex Pair Ratio : 0.00496579121606709
Reciprocated Edge Ratio : 0.00988250796090919
Connected Components : 1819
Single-Vertex Connected Components : 1135
Maximum Vertices in a Connected Component : 5725
Maximum Edges in a Connected Component : 8916
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.657753
Graph Density : 0.000116209990879296
Modularity : 0.720656
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 8,853 Twitter users whose recent tweets contained "Corona lang:de", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Thursday, 27 February 2020 at 07:39 UTC.
The tweets in the network were tweeted over the 13-hour, 2-minute period from Wednesday, 26 February 2020 at 18:27 UTC to Thursday, 27 February 2020 at 07:29 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 : Corona 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:
[1695] corona,virus [419] corona,ausbreitung [406] ausbreitung,deutschland [405] deutschland,wahrscheinlich [405] meinung,total [405] total,heldenhaft [405] heldenhaft,40 [405] fieber,arbeit [405] arbeit,rennen [404] wahrscheinlich,doppelt Top Word Pairs in Tweet in G1:
[223] corona,virus [212] lage,kontrolle [212] deutschland,beginn [173] jens,spahn [165] armin,laschet [160] beginn,coronavirus [160] coronavirus,epidemie [158] laschet,#corona [158] #corona,bild [158] bild,lage Top Word Pairs in Tweet in G2:
[224] corona,virus [27] angst,corona [23] corona,epidemie [15] corona,fälle [14] corona,fall [13] epidemie,deutschland [13] #corona,virus [13] #covid19,#corona [12] #politik,#wirtschaft [11] #corona,#covid19 Top Word Pairs in Tweet in G3:
[330] corona,virus [320] virus,bekämpfen [318] bekämpfen,öffentlich [318] öffentlich,rechtliche [318] rechtliche,talkshows [318] talkshows,einladen [318] einladen,entzaubert [32] stichwort,hamsterkäufe [32] hamsterkäufe,corona [32] corona,ritter Top Word Pairs in Tweet in G4:
[362] corona,ausbreitung [362] ausbreitung,deutschland [362] deutschland,wahrscheinlich [362] wahrscheinlich,doppelt [362] doppelt,schnell [362] schnell,alman [362] alman,meinung [362] meinung,total [362] total,heldenhaft [362] heldenhaft,40 Top Word Pairs in Tweet in G5:
[134] #corona,fall [134] fall,nrw [134] nrw,grund [134] grund,panik [134] panik,letzten [134] letzten,veranstaltungen [134] veranstaltungen,stattgefunden [134] stattgefunden,körperflüssigkeiten [134] körperflüssigkeiten,ausgetaus [134] ausgetaus,oh Top Word Pairs in Tweet in G6:
[53] 15,februar [53] langbroich,harzelt [51] #corona,fälle [45] fälle,kreis [45] kreis,#heinsberg [45] #heinsberg,landes [45] landes,gesundheitsministerium [45] gesundheitsministerium,bittet [45] bittet,15 [45] februar,kappensitzung Top Word Pairs in Tweet in G7:
[45] corona,virus [40] könnten,nehammer [40] nehammer,corona [40] corona,bitte [40] bitte,souveränen [40] souveränen,rudi_anschober [40] rudi_anschober,überlassen [40] überlassen,echt [40] echt,show [27] leute,rufen Top Word Pairs in Tweet in G8:
[36] corona,epidemie [24] notfallplan,ne [24] ne,corona [24] epidemie,krankenhaus [24] krankenhaus,nix [24] nix,operiert [24] operiert,notfälle [24] notfälle,betten [24] betten,inneren [24] inneren,belegt Top Word Pairs in Tweet in G9:
[71] iran,sterben [71] sterben,corona [71] corona,regime [71] regime,leugnet [71] leugnet,ressourcen [71] ressourcen,krankheit [71] krankheit,einzudämmen [71] einzudämmen,land [71] land,sterben [71] sterben,pro Top Word Pairs in Tweet in G10:
[153] coronavirus,china [153] china,fleisch [153] fleisch,deutschland [153] deutschland,spürt [153] spürt,folgen [9] wichtigsten,fragen [9] fragen,antworten [9] antworten,coronavirus [9] coronavirus,zusammengestellt [9] zusammengestellt,recherchen 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: