The graph represents a network of 709 Twitter users whose recent tweets contained "#mittelstand", 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 Monday, 18 November 2019 at 13:39 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 30-minute period from Saturday, 09 November 2019 at 16:54 UTC to Monday, 18 November 2019 at 13:25 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 : 709
Unique Edges : 1075
Edges With Duplicates : 404
Total Edges : 1479
Self-Loops : 244
Reciprocated Vertex Pair Ratio : 0.0355086372360845
Reciprocated Edge Ratio : 0.0685820203892493
Connected Components : 146
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 334
Maximum Edges in a Connected Component : 905
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.22634
Graph Density : 0.00214952228411146
Modularity : 0.659895
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 709 Twitter users whose recent tweets contained "#mittelstand", 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 Monday, 18 November 2019 at 13:39 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 30-minute period from Saturday, 09 November 2019 at 16:54 UTC to Monday, 18 November 2019 at 13:25 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 : #mittelstand
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[61] #digitalisierung,#mittelstand [41] #mittelstand,#digitalisierung [40] deutschen,#wirtschaft [39] #wirtschaft,#mittelstand [32] dem,#mittelstand [28] https,t [28] t,co [26] #mittelstand,#nachrichten [24] kaygottschalk1,#afd [24] #afd,#bundestag Top Word Pairs in Tweet in G1:
[14] aus,dem [14] dem,#mittelstand [14] #mittelstand,#digitalisierung [13] kongress,futuriumd [12] #mittelstand,#digital [12] #digital,kongress [11] nach,dem [10] 5,jahre [10] jahre,nach [10] dem,ersten Top Word Pairs in Tweet in G2:
[19] der_bdi,diebda [12] deutschlands,#mittelstand [11] des,mittelstands [11] diebda,dihk_news [10] kann,nur [10] steuerliche,forschungsförderung [9] #bvmw,#mittelstand [9] muss,investiert [9] investiert,werden [9] werden,#mittelstand Top Word Pairs in Tweet in G3:
[8] #digitalisierung,#mittelstand [6] max,nähwerk [6] nähwerk,köln [6] köln,bayenthal [6] ihr,spezialist [6] spezialist,maßhemden [6] maßhemden,anzüge [6] anzüge,auftragsarbeiten [6] auftragsarbeiten,#massanzug [6] #massanzug,#masshemden Top Word Pairs in Tweet in G4:
[10] vor,allem [7] müssen,#mittelstand [7] #mittelstand,familien [7] familien,entlasten [7] entlasten,vor [7] allem,bürokratie [7] bürokratie,eine [7] eine,agenda [7] agenda,fleißigen [7] fleißigen,bekommt Top Word Pairs in Tweet in G5:
[21] #digitalisierung,#mittelstand [19] qscag,investiert [19] als,#iot [19] #iot,tochter [19] tochter,stärken [19] stärken,unser [19] unser,#qloud [19] #qloud,#edge [19] #edge,#computing [19] #computing,#industrie40 Top Word Pairs in Tweet in G6:
[16] #mittelstand,#klimapaket [16] #klimapaket,bricht [16] bricht,rückgrat [16] rückgrat,deutschen [16] deutschen,#wirtschaft [16] #wirtschaft,welt [2] deutschlands,#mittelstand [2] #mittelstand,verliert [2] verliert,anschluss [2] anschluss,warnt Top Word Pairs in Tweet in G7:
[26] #mittelstand,#nachrichten [19] dt,#mittelstand [19] #mittelstand,#sparer [19] #sparer,zahlen [19] zahlen,#soli [19] #soli,dauerhaft [19] dauerhaft,weiter [19] weiter,da [19] da,kleinsparer [19] kleinsparer,gmbhs Top Word Pairs in Tweet in G8:
[24] kaygottschalk1,#afd [24] #afd,#bundestag [24] #bundestag,sehe [24] sehe,als [24] als,unsere [24] unsere,pflicht [24] pflicht,herzstück [24] herzstück,unserer [24] unserer,deutschen [24] deutschen,#wirtschaft Top Word Pairs in Tweet in G9:
[11] zum,thema [6] katja,windt [6] windt,sms_group_gmbh [6] #mittelstand,#digitalisierung [5] unser,ceo [5] ceo,dr_robert_mayr [5] dr_robert_mayr,diskutiert [5] diskutiert,dem [5] dem,#szgipfel [5] #szgipfel,zum Top Word Pairs in Tweet in G10:
[20] german,#mittelstand [6] 11,19 [5] #mittelstand,e [5] e,v [4] interessenten,vom [4] vom,german [4] 19,11 [4] gespräch,joachim [4] joachim,astel [4] astel,vorstand Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: