The graph represents a network of 10,227 Twitter users whose recent tweets contained "Neuinfektionen", 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, 21 August 2020 at 07:47 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 14-minute period from Friday, 14 August 2020 at 08:35 UTC to Friday, 21 August 2020 at 06:49 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 : 10227
Unique Edges : 16476
Edges With Duplicates : 6416
Total Edges : 22892
Number of Edge Types : 5
Tweet : 3978
Retweet : 12050
MentionsInRetweet : 2545
Replies to : 1968
Mentions : 2351
Self-Loops : 4067
Reciprocated Vertex Pair Ratio : 0.00862706433325117
Reciprocated Edge Ratio : 0.0171065493646139
Connected Components : 1198
Single-Vertex Connected Components : 897
Maximum Vertices in a Connected Component : 8547
Maximum Edges in a Connected Component : 20636
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.658034
Graph Density : 0.000156509812815297
Modularity : 0.562584
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 10,227 Twitter users whose recent tweets contained "Neuinfektionen", 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, 21 August 2020 at 07:47 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 14-minute period from Friday, 14 August 2020 at 08:35 UTC to Friday, 21 August 2020 at 06:49 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 : Neuinfektionen
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:
[1601] 1707,neuinfektionen [1243] corona,neuinfektionen [878] zahl,neuinfektionen [877] rki,meldet [747] 24,stunden [582] neuinfektionen,zahl [576] zahl,rki [571] neuinfektionen,deutschland [549] rki,gemeldeten [548] #coronavirus,infektionen Top Word Pairs in Tweet in G1:
[280] positive,tests [226] wert,neuinfektionen [223] höchsten,wert [223] neuinfektionen,mai [220] italien,handelt [220] handelt,höchsten [168] 1707,neuinfektionen [150] #neuinfektionen,reden [150] reden,philosophieren [150] philosophieren,solange Top Word Pairs in Tweet in G2:
[156] anteil,u15 [156] u15,jährige [128] neuinfektionen,kindern [120] #coronavirus,#covid19 [120] 1707,neuinfektionen [118] zahl,neuinfektionen [114] #bildungabersicher,#twlz [112] #corona,#coronavirus [112] neuinfektionen,deutschland [111] #coronavirus,#neuinfektionen Top Word Pairs in Tweet in G3:
[204] corona,neuinfektionen [98] neuinfektionen,deutschland [63] zahl,neuinfektionen [62] registrierte,corona [55] rki,meldet [39] covid,19 [38] 24,stunden [36] 1707,neuinfektionen [31] neuinfektionen,coronavirus [31] höchstwert,april Top Word Pairs in Tweet in G4:
[502] 1707,neuinfektionen [226] rki,meldet [221] meldet,1707 [218] höher,lag [218] lag,zahl [218] zahl,zuletzt [218] registrierten,neuinfektionen [217] anfang,mai [216] neuinfektionen,höher [216] zuletzt,26 Top Word Pairs in Tweet in G5:
[474] neuinfektionen,zahl [473] zahl,rki [472] rki,gemeldeten [472] gemeldeten,#coronavirus [472] #coronavirus,infektionen [472] infektionen,lag [472] lag,gestern [471] durchschnitt,steigt [291] höchste,wert [291] april,durchschnitt Top Word Pairs in Tweet in G6:
[151] 1700,neuinfektionen [136] corona,neuinfektionen [118] 24,stunden [107] rki,meldet [105] zahl,neuinfektionen [99] deuten,virusreichen [99] virusreichen,oktober [86] innerhalb,tages [78] neuinfektionen,#covidioten [76] #corona,#coronavirus Top Word Pairs in Tweet in G7:
[130] corona,neuinfektionen [119] zahl,neuinfektionen [104] prozent,positiv [83] zahlen,steigen [77] tests,durchgeführt [77] 24,stunden [72] #covid19,#covid19at [69] bestätigte,corona [63] steigen,österreich [60] neuinfektionen,österreich Top Word Pairs in Tweet in G8:
[389] 1707,neuinfektionen [349] corona,neuinfektionen [337] auckland,corona [337] neuinfektionen,ausgangssperre [337] ausgangssperre,geschäfte [337] geschäfte,schulen [337] schulen,schließen [337] schließen,deutschland [337] deutschland,1707 [337] neuinfektionen,schulstart Top Word Pairs in Tweet in G9:
[103] bundesgesundheitsminister,jensspahn [99] neuinfektionen,steigen [92] steigen,derzeit [91] reiserückkehrenden,lokalen [91] jensspahn,cdu [91] #coronavirus,#covid19 [90] derzeit,drastisch [90] erneute,veranstaltungsverbote [89] zahl,neuinfektionen [89] drastisch,liegt Top Word Pairs in Tweet in G10:
[235] #corona,#covid_19 [234] #neuinfektionen,#corona [233] letzte,halben [233] halben,#schweden [233] #schweden,starben [233] starben,2020 [233] 2020,1869 [233] 1869,hungersnot [233] hungersnot,nochmal [233] nochmal,zustände Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: