The graph represents a network of 11,016 Twitter users whose recent tweets contained "Lauterbach", 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, 24 February 2021 at 13:03 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 56-minute period from Monday, 22 February 2021 at 17:37 UTC to Wednesday, 24 February 2021 at 12:33 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 : 11016
Unique Edges : 22387
Edges With Duplicates : 17872
Total Edges : 40259
Number of Edge Types : 5
Replies to : 11008
Retweet : 6909
Mentions : 14953
MentionsInRetweet : 6457
Tweet : 932
Self-Loops : 1019
Reciprocated Vertex Pair Ratio : 0.0370713266211472
Reciprocated Edge Ratio : 0.0714923374497843
Connected Components : 425
Single-Vertex Connected Components : 287
Maximum Vertices in a Connected Component : 10357
Maximum Edges in a Connected Component : 39577
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.7873
Graph Density : 0.00022155699084664
Modularity : 0.407448
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 11,016 Twitter users whose recent tweets contained "Lauterbach", 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, 24 February 2021 at 13:03 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 56-minute period from Monday, 22 February 2021 at 17:37 UTC to Wednesday, 24 February 2021 at 12:33 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 : Lauterbach
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:
[1845] karl,lauterbach [1744] haus,brennt [1733] karl_lauterbach,hassen [1730] leute,karl_lauterbach [1723] nerviges,gepiepse [1720] schrauben,rauchmelder [1719] hassen,schrauben [1719] rauchmelder,ärgerlich [1719] ärgerlich,haus [1719] brennt,braucht Top Word Pairs in Tweet in G1:
[1599] haus,brennt [1588] leute,karl_lauterbach [1587] karl_lauterbach,hassen [1582] nerviges,gepiepse [1581] schrauben,rauchmelder [1580] hassen,schrauben [1580] rauchmelder,ärgerlich [1580] ärgerlich,haus [1580] brennt,braucht [1580] braucht,nerviges Top Word Pairs in Tweet in G2:
[1153] karl,lauterbach [572] karl_lauterbach,c_drosten [549] c_drosten,brinkmannlab [404] lauterbach,warnt [354] warnt,welle [347] monaten,lockdown [346] zahlen,sinken [345] merkel,warnt [345] welle,rki [345] rki,warnt Top Word Pairs in Tweet in G3:
[370] karl_lauterbach,fuestclemens [154] karl_lauterbach,jensspahn [81] karl,lauterbach [77] herr,lauterbach [77] kuschelcoach,karl_lauterbach [66] 10,infizierten [65] loockgabi,karl_lauterbach [64] jensspahn,karl_lauterbach [53] bekommen,#longcovid [52] infizierten,bekommen Top Word Pairs in Tweet in G4:
[112] karl_lauterbach,job [112] job,#spahn [111] #spahn,übernehmen [111] übernehmen,bitte [111] bitte,#schnelltests [111] #schnelltests,#impfung [111] #impfung,#gesundheit [59] nkaetzler,karl_lauterbach [50] karl_lauterbach,jensspahn [49] die_insider,karl_lauterbach Top Word Pairs in Tweet in G5:
[381] warnt,lauterbach [380] hoffen,mutationen [380] mutationen,höheren [380] höheren,gefährdung [380] gefährdung,ausland [380] ausland,wirken [380] wirken,warnt [49] lässt,aufhalten [42] welle,lässt [35] herr,lauterbach Top Word Pairs in Tweet in G6:
[64] karl,lauterbach [27] lässt,aufhalten [25] welle,lässt [23] lauterbach,welle [16] welle,stoppen [16] lauterbach,warnt [13] öffnung,warten [13] warten,lauterbach [11] lauterbach,baden [11] baden,wurttemberg Top Word Pairs in Tweet in G7:
[90] karl,lauterbach [80] chance,klug [80] klug,antworten [79] interview,karl [79] lauterbach,empfehlen [79] empfehlen,klug [79] klug,gefragt [79] gefragt,fj_murau [79] fj_murau,chance [79] antworten,dürfte Top Word Pairs in Tweet in G8:
[124] verenade,karl_lauterbach [73] last,not [73] not,bildung [73] bildung,sicher [73] sicher,digitalisieren [73] digitalisieren,kluge [73] kluge,ideen [73] ideen,umgesetzt [73] umgesetzt,verenade [73] karl_lauterbach,ausreichend Top Word Pairs in Tweet in G9:
[130] karl,lauterbach [75] rummenigge,profifußballer [75] profifußballer,eher [75] eher,impfen [75] impfen,hoeness [75] hoeness,nachts [75] nachts,doha [75] doha,fliegen [75] fliegen,pandemie [75] pandemie,skandal Top Word Pairs in Tweet in G10:
[38] hu_100n,karl_lauterbach [30] karl_lauterbach,bmauschen [28] dlfnachrichten,karl_lauterbach [22] warnt,welle [22] lauterbach,warnt [20] trotz,mutationen [20] mutationen,verliert [20] verliert,coronavirus [20] coronavirus,offenbar [20] offenbar,kraft 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 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: