The graph represents a network of 14,289 Twitter users whose recent tweets contained "Lockdown 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 Thursday, 29 October 2020 at 12:23 UTC.
The tweets in the network were tweeted over the 13-hour, 3-minute period from Wednesday, 28 October 2020 at 22:31 UTC to Thursday, 29 October 2020 at 11:34 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 : 14289
Unique Edges : 20003
Edges With Duplicates : 4072
Total Edges : 24075
Number of Edge Types : 5
Replies to : 3095
Retweet : 10968
Tweet : 4616
MentionsInRetweet : 2081
Mentions : 3315
Self-Loops : 4725
Reciprocated Vertex Pair Ratio : 0.0115000560978346
Reciprocated Edge Ratio : 0.0227386168265765
Connected Components : 2790
Single-Vertex Connected Components : 1831
Maximum Vertices in a Connected Component : 9789
Maximum Edges in a Connected Component : 19321
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.619723
Graph Density : 8.83174529432699E-05
Modularity : 0.674371
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 14,289 Twitter users whose recent tweets contained "Lockdown 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 Thursday, 29 October 2020 at 12:23 UTC.
The tweets in the network were tweeted over the 13-hour, 3-minute period from Wednesday, 28 October 2020 at 22:31 UTC to Thursday, 29 October 2020 at 11:34 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 : Lockdown 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:
[642] lockdown,light [514] schulen,#lockdown [512] geschlossene,schulen [511] welle,geschlossene [510] #lockdown,passiert [510] passiert,wichtig [510] wichtig,not [510] not,wenden [510] wenden,helfen [510] helfen,wichtigen Top Word Pairs in Tweet in G1:
[202] gastronomie,hotelleriebranche [202] hotelleriebranche,geforderten [202] geforderten,hygiene [202] hygiene,abstandsregeln [202] abstandsregeln,umgesetzt [202] umgesetzt,hierfür [202] hierfür,lockdown [202] lockdown,bestraft [202] bestraft,leute [202] leute,teuer Top Word Pairs in Tweet in G2:
[110] lockdown,light [38] #corona,#lockdown [36] corona,lockdown [28] #lockdown,#lockdown2 [25] neuer,lockdown [22] lockdown,deutschland [22] corona,maßnahmen [19] #lockdown,#lockdownlight [19] lockdown,lockdown [19] deutschland,lockdown Top Word Pairs in Tweet in G3:
[67] schutz,risikogruppen [66] 40,bevölkerung [66] angeblich,infektionsrisiko [66] infektionsrisiko,senken [66] senken,führt [66] führt,faktisch [66] faktisch,verschärfung [66] verschärfung,infektionsgefahr [66] infektionsgefahr,treffen [66] treffen,unkontrollierten Top Word Pairs in Tweet in G4:
[244] kopf,schütteln [243] gottesdienste,finden [243] finden,obwohl [243] obwohl,bekannte [243] bekannte,infektionsherde [243] infektionsherde,gläubige [243] gläubige,wichtig [243] wichtig,willkürliche [243] willkürliche,entscheidung [243] entscheidung,wissenschaftliche Top Word Pairs in Tweet in G5:
[171] steigenden,infektionszahlen [170] strengen,kontaktbeschränkungen [170] kontaktbeschränkungen,bürger [170] bürger,herunterfahren [170] herunterfahren,fast [170] fast,freizeitaktivitäten [170] freizeitaktivitäten,dramatisch [170] dramatisch,steigenden [170] infektionszahlen,eingedämmt [49] lockdown,light Top Word Pairs in Tweet in G6:
[481] welle,geschlossene [481] geschlossene,schulen [481] schulen,#lockdown [481] #lockdown,passiert [481] passiert,wichtig [481] wichtig,not [481] not,wenden [481] wenden,helfen [481] helfen,wichtigen [481] wichtigen,nummern Top Word Pairs in Tweet in G7:
[120] #bundestag,#lockdown [117] #lockdown,beschlüsse [117] beschlüsse,nachträglich [117] nachträglich,kenntnis [117] kenntnis,nehmen [117] nehmen,entscheidungsprozesse [117] entscheidungsprozesse,bedrohen [117] bedrohen,akzeptanz [117] akzeptanz,deformieren [117] deformieren,parlamentarische Top Word Pairs in Tweet in G8:
[72] lockdown,strengere [72] strengere,maßnahmen [72] maßnahmen,gesundheitsminister [72] gesundheitsminister,pandemie [72] pandemie,müde [72] müde,lockdown [72] lockdown,ultima [72] ultima,merkel [72] merkel,zahlen [72] zahlen,lockdown Top Word Pairs in Tweet in G9:
[129] wisst,kinderlose [129] kinderlose,festangestellte [129] festangestellte,leute [129] leute,stabiler [129] stabiler,beziehung [129] beziehung,geld [129] geld,rumheulen [129] rumheulen,wg [129] wg,lockdown [129] lockdown,weiß Top Word Pairs in Tweet in G10:
[174] frankreich,brauchen [174] brauchen,ausgefüllten [174] ausgefüllten,passierschein [174] passierschein,haus [174] haus,verlassen [174] verlassen,erzähl [174] erzähl,nochmal [174] nochmal,harten [174] harten,lockdown [174] lockdown,deutschland 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: