The graph represents a network of 331 Twitter users whose recent tweets contained "#HSK19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Tuesday, 21 May 2019 at 08:31 UTC.
The tweets in the network were tweeted over the 8-day, 21-hour, 31-minute period from Sunday, 12 May 2019 at 10:58 UTC to Tuesday, 21 May 2019 at 08:29 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 : 331
Unique Edges : 917
Edges With Duplicates : 732
Total Edges : 1649
Number of Edge Types : 4
Tweet : 144
Mentions : 1079
Retweet : 357
Replies to : 69
Self-Loops : 146
Reciprocated Vertex Pair Ratio : 0.119916579770594
Reciprocated Edge Ratio : 0.21415270018622
Connected Components : 31
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 280
Maximum Edges in a Connected Component : 1597
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.77431
Graph Density : 0.00983246360889866
Modularity : 0.364376
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[70] hsk_berlin,#hsk19 [32] stand,43 [28] #hsk19,blog [28] #ehealth,#digitalhealth [25] neuer,beitrag [25] beitrag,#hsk19 [22] #hsk19,#ehealth [22] #epa,#ehealth [21] woche,#hsk19 [20] #hsk19,stand Top Word Pairs in Tweet in G1:
[19] hsk_berlin,#hsk19 [16] neuer,beitrag [16] beitrag,#hsk19 [16] #hsk19,blog [11] thema,#hsk19 [10] prof,dr [10] #ehealth,#digitalhealth [10] 30,uhr [9] 16,30 [8] citycube,berlin Top Word Pairs in Tweet in G2:
[10] hsk_berlin,#hsk19 [10] viel,spaß [10] spaß,#hsk19 [9] hashtaggesund,#hsk19 [9] hashtaggesund,cpkrohne [9] cpkrohne,timofrankx [9] timofrankx,bkkyoungtalents [9] bkkyoungtalents,juliakatzink [9] juliakatzink,_jan_schumann [9] wünschen,viel Top Word Pairs in Tweet in G3:
[29] stand,43 [17] #hsk19,stand [14] bzga_de,#hsk19 [13] gemeinsam,bzga_de [12] bmg_bund,bzga_de [9] 21,mai [9] hih2025,kennenlernen [9] kennenlernen,wollte [9] wollte,morgen [9] morgen,findet Top Word Pairs in Tweet in G4:
[13] thema,#adipositas [10] hsk_berlin,#hsk19 [10] amp,stand [10] #gemeinsamgegenadipositas,sebastiangaiser [10] sebastiangaiser,martini_om [10] martini_om,moll2905 [9] freuen,viele [8] dr,marc [8] marc,pierre [8] pierre,möll Top Word Pairs in Tweet in G5:
[13] #amnog,report [12] vorstandschef,stormandreas [12] neuen,#amnog [11] vivy_health,crebernik7791 [10] vorfreude,#hsk19 [10] #hsk19,vorstandschef [10] stormandreas,präsentiert [10] präsentiert,morgen [10] morgen,neuen [10] report,themen Top Word Pairs in Tweet in G6:
[11] #epa,#ehealth [10] #ehealth,#digitalhealth [9] #digitalhealth,#digitalisierung [8] elektronische,patientenakte [7] woche,#hsk19 [6] #hsk19,elektronische [6] patientenakte,versorgungsrelevanz [6] versorgungsrelevanz,entfalten [6] entfalten,diskutiert [6] diskutiert,#epa Top Word Pairs in Tweet in G7:
[3] geht,los [3] hauptstadtkongress,#hsk19 [2] wenigen,minuten Top Word Pairs in Tweet in G8:
[15] hsk_berlin,#hsk19 [4] redet,prävention [4] prävention,internet [4] internet,macht [4] macht,hsk_berlin [3] #hsk19,redet [3] kostenloser,kardio [3] kardio,mrt [3] mrt,vitalcheck [3] vitalcheck,hauptstadtkongress Top Word Pairs in Tweet in G9:
[4] very,happy [4] happy,present [4] present,take [4] take,digitally [4] digitally,improving [4] improving,neurologic [4] neurologic,care [4] care,#hsk19 [4] #hsk19,tomorrow [4] tomorrow,pm Top Word Pairs in Tweet in G10:
[2] viel,spaß [2] leider,#hsk19 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: