The graph represents a network of 716 Twitter users whose tweets in the requested range contained "#ddj", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 October 2019 at 15:10 UTC.
The requested date range was from Monday, 21 October 2019 at 00:00 UTC through Monday, 28 October 2019 at 00:00 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 26-minute period from Monday, 21 October 2019 at 00:59 UTC to Sunday, 27 October 2019 at 22:26 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 : 716
Unique Edges : 1113
Edges With Duplicates : 296
Total Edges : 1409
Self-Loops : 103
Reciprocated Vertex Pair Ratio : 0.0449236298292902
Reciprocated Edge Ratio : 0.0859845227858985
Connected Components : 55
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 482
Maximum Edges in a Connected Component : 1083
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.280882
Graph Density : 0.00227175059577294
Modularity : 0.684062
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 716 Twitter users whose tweets in the requested range contained "#ddj", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 October 2019 at 15:10 UTC.
The requested date range was from Monday, 21 October 2019 at 00:00 UTC through Monday, 28 October 2019 at 00:00 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 26-minute period from Monday, 21 October 2019 at 00:59 UTC to Sunday, 27 October 2019 at 22:26 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #ddj
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:
[45] new,post [44] 10,#ddj [42] top,10 [42] albertocairo,new [39] #dataviz,#infographics [36] #dataviz,#ddj [30] #ddj,#dataviz [30] even,more [28] #infographics,#ddj [27] make,searches Top Word Pairs in Tweet in G1:
[42] 10,#ddj [35] top,10 [18] https,t [18] t,co [16] paulbradshaw,paldhous [15] eng,https [14] топ,10 [14] need,scrape [14] web,story [13] в,топ Top Word Pairs in Tweet in G2:
[42] new,post [39] #dataviz,#infographics [39] albertocairo,new [28] #infographics,#ddj [22] dear,nyc [22] nyc,friends [22] friends,thanks [22] thanks,coming [22] coming,talk [22] talk,tonight Top Word Pairs in Tweet in G3:
[20] fundamental,search [20] search,journalists [20] journalists,taught [20] taught,mrvincentryan [19] #ddj,#dataviz [18] #ddj,#vg [17] datajournalism,big [17] big,news [17] news,we've [17] we've,launched Top Word Pairs in Tweet in G4:
[27] make,searches [27] searches,#icijdatashare [27] #icijdatashare,even [27] even,more [27] more,precise [27] precise,using [27] using,operators [27] operators,here [27] here,operators [27] operators,use Top Word Pairs in Tweet in G5:
[24] soeben,haben [24] haben,unsere [24] unsere,historische [24] historische,wahlkarte [24] wahlkarte,aktualisiert [24] aktualisiert,haben [24] haben,schweizer [24] schweizer,gemeinden [24] gemeinden,letzten [24] letzten,4ø Top Word Pairs in Tweet in G6:
[9] 1999,holte [9] holte,cdu_thueringen [9] cdu_thueringen,absolute [9] absolute,mehrheit [9] mehrheit,2014 [9] 2014,gelang [9] gelang,nur [9] nur,noch [9] noch,nordwesten [9] nordwesten,alle Top Word Pairs in Tweet in G7:
[24] #dataviz,#ddj [23] #ddj,ajlabs [23] ajlabs,ajenglish [22] country,voted [22] voted,#dataviz [5] datajournalism,nodexl [5] nodexl,datajournalism [5] datajournalism,pinardag [5] pinardag,albertocairo [5] albertocairo,infocepei Top Word Pairs in Tweet in G8:
[15] today,parli [15] parli,n [15] n,grams [15] grams,#hansard [15] #hansard,word [15] word,frequency [15] frequency,search [15] search,website [15] website,goes [15] goes,way Top Word Pairs in Tweet in G9:
[10] katja,schupp [7] want,learn [7] learn,spiegel_data [7] spiegel_data,br_data [7] br_data,cleaned [7] cleaned,up [7] up,messy [7] messy,text [7] text,data [7] data,#openschufa Top Word Pairs in Tweet in G10:
[17] warum,jede [17] jede,tageszeitung [17] tageszeitung,jedes [17] jedes,lokalmedium [17] lokalmedium,berlin [17] berlin,einen [17] einen,service [17] service,mietendeckelrechner [17] mietendeckelrechner,anbietet [17] anbietet,mir Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
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: