The graph represents a network of 32 Twitter users whose recent tweets contained "#Systemrelevanz", 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 Friday, 14 May 2021 at 09:46 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 25-minute period from Thursday, 06 May 2021 at 17:51 UTC to Thursday, 13 May 2021 at 16:16 UTC.
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 : 32
Unique Edges : 41
Edges With Duplicates : 0
Total Edges : 41
Number of Edge Types : 5
Tweet : 9
Retweet : 14
MentionsInRetweet : 10
Mentions : 5
Replies to : 3
Self-Loops : 9
Reciprocated Vertex Pair Ratio : 0.103448275862069
Reciprocated Edge Ratio : 0.1875
Connected Components : 14
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 8
Maximum Edges in a Connected Component : 13
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.016129
Graph Density : 0.032258064516129
Modularity : 0.666716
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 32 Twitter users whose recent tweets contained "#Systemrelevanz", 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 Friday, 14 May 2021 at 09:46 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 25-minute period from Thursday, 06 May 2021 at 17:51 UTC to Thursday, 13 May 2021 at 16:16 UTC.
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 : #Systemrelevanz
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:
[7] erzieherinnen,deutschland [7] deutschland,fehlt [7] fehlt,monetärer [7] monetärer,nichtmonetärer [7] nichtmonetärer,anerkennung [7] anerkennung,hohen [7] hohen,belastung [7] belastung,ausgesetzt [7] ausgesetzt,empfinden [7] empfinden,mangelnde Top Word Pairs in Tweet in G1:
[7] erzieherinnen,deutschland [7] deutschland,fehlt [7] fehlt,monetärer [7] monetärer,nichtmonetärer [7] nichtmonetärer,anerkennung [7] anerkennung,hohen [7] hohen,belastung [7] belastung,ausgesetzt [7] ausgesetzt,empfinden [7] empfinden,mangelnde Top Word Pairs in Tweet in G3:
[4] #systemrelevant,gerecht [4] gerecht,bezahlt [4] bezahlt,#systemrelevanz [4] #systemrelevanz,diskutieren [4] diskutieren,sachsens [4] sachsens,wirtschaftsminister [4] wirtschaftsminister,martin [4] martin,#dulig [4] #dulig,spd [4] spd,#diakonie Top Word Pairs in Tweet in G4:
[3] wennichnichtic1,#tagderbefreiung [3] #tagderbefreiung,fortsetzung [3] fortsetzung,finden [3] finden,leider [3] leider,zuviele [3] zuviele,juristen [3] juristen,lehrer [3] lehrer,ärzte [3] ärzte,#ns_verbrechen [3] #ns_verbrechen,wesentlichen Top Word Pairs in Tweet in G5:
[3] werdende,zahl [3] zahl,zaungästen [3] zaungästen,konflikte [3] konflikte,raum [3] raum,kirche [3] kirche,dürfte [3] dürfte,fragen [3] fragen,hilfreich [3] hilfreich,institution [3] institution,persönliche Top Word Pairs in Tweet in G6:
[2] #deprofessionalisierung,#demoralisierung [2] #demoralisierung,#pflege [2] #pflege,300drölfzig [2] 300drölfzig,planung [2] planung,direkt [2] direkt,hintertür [2] hintertür,zukunft [2] zukunft,angeblichen [2] angeblichen,#systemrelevanz [2] #systemrelevanz,nächstes Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G7:
Top Mentioned in G8:
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: