The graph represents a network of 9,700 Twitter users whose recent tweets contained "#Layla", 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 July 2022 at 09:05 UTC.
The tweets in the network were tweeted over the 9-day, 19-hour, 8-minute period from Monday, 04 July 2022 at 13:22 UTC to Thursday, 14 July 2022 at 08:30 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 : 9700
Unique Edges : 14312
Edges With Duplicates : 2277
Total Edges : 16589
Number of Edge Types : 5
Tweet : 4042
Retweet : 9857
MentionsInRetweet : 723
Replies to : 1272
Mentions : 695
Self-Loops : 4093
Reciprocated Vertex Pair Ratio : 0.00257710532878876
Reciprocated Edge Ratio : 0.00514096185737977
Connected Components : 2189
Single-Vertex Connected Components : 1916
Maximum Vertices in a Connected Component : 6727
Maximum Edges in a Connected Component : 13170
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.423595
Graph Density : 0.00012818836674628
Modularity : 0.604875
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,700 Twitter users whose recent tweets contained "#Layla", 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 July 2022 at 09:05 UTC.
The tweets in the network were tweeted over the 9-day, 19-hour, 8-minute period from Monday, 04 July 2022 at 13:22 UTC to Thursday, 14 July 2022 at 08:30 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 : #Layla
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[654] lied,#layla [648] verbieten,finde [570] behördlich,verbieten [552] finde,zuviel [550] zuviel,#layla [549] doof,geschmacklos [549] geschmacklos,finden [548] sogar,doof [546] schlagertexte,sogar [546] finden,behördlich Top Word Pairs in Tweet in G1:
[87] la,la [76] eric,clapton [54] lied,#layla [46] song,#layla [44] #layla,verboten [42] skandal,sperrbezirk [37] #papuaindonesia,flamengo [37] flamengo,#layla [35] #layla,verbieten [30] layla,nr Top Word Pairs in Tweet in G2:
[375] lied,#layla [246] verbietet,lied [235] #layla,verbot [230] verbot,absage [230] absage,#biologie [230] #biologie,vortrages [230] vortrages,#humboldtuni [230] #humboldtuni,freiheit [230] freiheit,beschränken [230] beschränken,bevor Top Word Pairs in Tweet in G3:
[215] anwalt_jun,erklärt [214] erklärt,unserem [214] unserem,justizminister [214] justizminister,eigentlich [214] eigentlich,müsste [214] müsste,#layla [184] würzburg,verbietet [182] hit,#layla [180] ballermann,hit [179] jungen,union Top Word Pairs in Tweet in G4:
[327] doof,geschmacklos [327] verbieten,finde [327] zuviel,#layla [326] schlagertexte,sogar [326] sogar,doof [326] geschmacklos,finden [326] finde,zuviel [325] finden,behördlich [325] behördlich,verbieten [42] stadt,würzburg Top Word Pairs in Tweet in G5:
[249] eric,clapton [240] #layla,ballermann [240] clapton,denkt [240] denkt,dringend [239] ballermann,eric [239] dringend,überlegen [239] überlegen,leben [239] leben,falsch [239] falsch,abgebogen [31] beschwerde,#layla Top Word Pairs in Tweet in G6:
[269] verbot,#layla [267] sieht,verbot [267] #layla,würzburg [267] würzburg,klappt [267] klappt,nämlich [267] nämlich,animiert [267] animiert,leute [267] leute,eher [267] eher,vorne [267] vorne,hinten Top Word Pairs in Tweet in G7:
[286] love,much [286] much,actually [286] actually,#moonknight [286] #moonknight,#marcspector [286] #marcspector,#stevengrant [286] #stevengrant,#layla [6] #layla,becoming [6] becoming,avatar [6] avatar,such [6] such,cool Top Word Pairs in Tweet in G8:
[105] platz,charts [101] sex,drugs [100] rock,roll [99] drugs,rock [99] roll,eigentlich [99] helene,fischer [98] lied,platz [98] charts,volskfest [98] volskfest,2022 [98] 2022,abgespielt Top Word Pairs in Tweet in G9:
[243] deutschland,verboten [243] verboten,stadtfesten [243] stadtfesten,englisch [243] englisch,verstanden [243] verstanden,#layla [24] behördlich,verbieten [23] schlagertexte,sogar [23] sogar,doof [23] doof,geschmacklos [23] geschmacklos,finden Top Word Pairs in Tweet in G10:
[222] leute,#layla [221] liebe,leute [221] #layla,ätzend [221] ätzend,nervig [221] nervig,billig [221] billig,unterirdisch [221] unterirdisch,prollig [221] prollig,finden [221] finden,bitte [221] bitte,schön Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Mentioned in G5:
Top Mentioned in G6:
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: