The graph represents a network of 1.293 Twitter users whose recent tweets contained "#ddj", 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, 10 September 2019 at 20:36 UTC.
The tweets in the network were tweeted over the 9-day, 9-hour, 36-minute period from Sunday, 01 September 2019 at 10:49 UTC to Tuesday, 10 September 2019 at 20:26 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 : 1293
Unique Edges : 2053
Edges With Duplicates : 515
Total Edges : 2568
Number of Edge Types : 4
Mentions : 1169
Retweet : 1174
Tweet : 199
Replies to : 26
Self-Loops : 238
Reciprocated Vertex Pair Ratio : 0,0418307086614173
Reciprocated Edge Ratio : 0,0803023145961266
Connected Components : 71
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 1114
Maximum Edges in a Connected Component : 2305
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4,633812
Graph Density : 0,00126724276228992
Modularity : 0,675561
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[430] #ddj,#bundeswoerter [415] 70,jahren [415] jahren,debattiert [414] deutschen,bundestag [414] bundestag,1949 [414] ausgewertet,zeigen [414] zeigen,worüber [414] worüber,70 [414] debattiert,#ddj [406] reden,deutschen Top Word Pairs in Tweet in G1:
[386] reden,deutschen [386] deutschen,bundestag [386] bundestag,1949 [386] 1949,ausgewertet [386] ausgewertet,zeigen [386] zeigen,worüber [386] worüber,70 [386] 70,jahren [386] jahren,debattiert [386] debattiert,#ddj Top Word Pairs in Tweet in G2:
[63] 10,#ddj [48] top,10 [45] #ddj,#dataviz [24] топ,10 [24] eng,co [21] #ddj,gijn [19] unserer,interaktiven [18] ব,দ [15] data,journalism [15] co,0ogqcdvd9j Top Word Pairs in Tweet in G3:
[96] #dataviz,#infographics [96] #infographics,#ddj [57] #howchartslie,#dataviz [42] new,york [42] york,times [39] explaining,visualizations [39] visualizations,new [39] times,npr [39] npr,bbc [39] bbc,#howchartslie Top Word Pairs in Tweet in G4:
[33] #ddj,#dataviz [19] links,datasets [19] #opendata,#ddj [19] #dataviz,#civictech [17] data,journalism [16] datasets,used [15] #ddj,community [12] write,weekly [12] weekly,newsletter [12] newsletter,called Top Word Pairs in Tweet in G5:
[37] #ddj,#dataviz [20] wahl,#sachsen [20] #sachsen,kooperation [20] kooperation,mdraktuell [20] mdraktuell,mdr_sn [20] mdr_sn,begleitet [20] begleitet,interaktiven [20] interaktiven,karten [20] karten,grafiken [20] grafiken,ergebnissen Top Word Pairs in Tweet in G6:
[20] #ddj,#bundeswoerter [16] 70,jahren [16] jahren,debattiert [15] deutschen,bundestag [15] bundestag,1949 [15] ausgewertet,zeigen [15] zeigen,worüber [15] worüber,70 [15] debattiert,#ddj [15] letzten,70 Top Word Pairs in Tweet in G7:
[46] #ddj,#dataviz [25] unserer,interaktiven [22] #ltwbb19,#ddj [13] gestiegene,wahlbeteiligung [13] wahlbeteiligung,brandenburg [13] brandenburg,nützt [13] nützt,afd [13] afd,gibt [13] gibt,details [13] details,wählerwanderung Top Word Pairs in Tweet in G8:
[15] ddj,200 [5] 200,wedj [5] wedj,tutorials [5] tutorials,ddj [5] 200,overview [5] overview,know [5] know,layout [5] layout,controls [5] controls,functions [5] functions,ddj Top Word Pairs in Tweet in G9:
[18] top,10 [16] mustafa3000,juanton_soup [16] juanton_soup,bymadisonhall [13] grafiti,search [13] search,engine [13] engine,charts [13] charts,graphs [13] graphs,infographics [13] infographics,soon [13] soon,datasets Top Word Pairs in Tweet in G10:
[14] data,journalism [8] government,ireland's [8] ireland's,postgraduate [8] postgraduate,scholarship [8] scholarship,scheme [8] scheme,now [8] now,open [8] open,applications [8] applications,spread [8] spread,word Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
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 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: