The graph represents a network of 634 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 Thursday, 14 November 2019 at 13:26 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 6.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 19-hour, 4-minute period from Tuesday, 05 November 2019 at 02:09 UTC to Sunday, 10 November 2019 at 21:14 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 : 634
Unique Edges : 824
Edges With Duplicates : 234
Total Edges : 1058
Number of Edge Types : 3
Mentions : 932
Replies to : 18
Tweet : 108
Self-Loops : 108
Reciprocated Vertex Pair Ratio : 0.0505548705302096
Reciprocated Edge Ratio : 0.0962441314553991
Connected Components : 59
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 417
Maximum Edges in a Connected Component : 754
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.697811
Graph Density : 0.00212298353940228
Modularity : 0.724553
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 634 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 Thursday, 14 November 2019 at 13:26 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 6.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 19-hour, 4-minute period from Tuesday, 05 November 2019 at 02:09 UTC to Sunday, 10 November 2019 at 21:14 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[428] à,à [252] ð,ð [110] ð,ñ [95] ñ,ð [95] ã,ã [45] 10,#ddj [42] ñ,ñ [42] top,10 [36] fã,r [21] #ddj,#dataviz Top Word Pairs in Tweet in G1:
[183] ð,ð [88] ð,ñ [76] ñ,ð [44] 10,#ddj [38] top,10 [30] ñ,ñ [15] #ddj,gijn [15] ð,ðµð [13] https,t [13] t,co Top Word Pairs in Tweet in G2:
[19] na,wer [19] wer,steht [19] steht,denn [19] denn,da [19] da,unserem [19] unserem,büro [19] büro,#hasselhoff [19] #hasselhoff,man [19] man,kann [19] kann,sich Top Word Pairs in Tweet in G3:
[18] two,very [18] very,special [18] special,guests [18] guests,'how [18] 'how,charts [18] charts,lie' [18] lie',presentation [18] presentation,morning [18] morning,barcelona [18] barcelona,king Top Word Pairs in Tweet in G4:
[14] icijorg,#icijdatashare [10] two,kinds [10] kinds,users [10] individual,reporters [10] securely,analyze [10] analyze,set [10] set,maybe [10] maybe,secret [10] secret,files [10] files,without Top Word Pairs in Tweet in G5:
[14] liebe,#ddj [14] #ddj,community [14] community,kenne [14] kenne,eine [14] eine,talentierte [14] talentierte,nachwuchsjournalistin [14] nachwuchsjournalistin,herbst [14] herbst,ihr [14] ihr,studium [14] studium,js_mainz Top Word Pairs in Tweet in G6:
[5] videoanalyse,geolocation [5] online,verifikationstraining [5] verifikationstraining,stefanvoss [5] stefanvoss,chief [5] chief,verification [5] verification,officer [5] data,journalism [5] journalism,awards [5] ðÿ,ðÿ [5] ðÿ,â Top Word Pairs in Tweet in G7:
[19] texto,novo [19] novo,dadoscope [19] dadoscope,dessa [19] dessa,vez [19] vez,com [19] com,ajuda [19] ajuda,#opendata [19] #opendata,tesouro [19] tesouro,nacional [19] nacional,ibge Top Word Pairs in Tweet in G8:
[10] #iaesjlille,esjlille [7] long,role [7] role,journalists [7] journalists,uncover [7] uncover,information [7] information,whether [7] whether,intended [7] intended,accidental [7] accidental,releases [6] communicating,uncertainty Top Word Pairs in Tweet in G9:
[18] reminder,submit [18] submit,paper [18] paper,computation [18] computation,journalism [18] journalism,symposium [18] symposium,re [18] re,hosting [18] hosting,northeastern [18] northeastern,#ddj [18] #ddj,special Top Word Pairs in Tweet in G10:
[12] recomiendo,resumen [12] resumen,historia [12] historia,onu [12] onu,destaca [12] destaca,desastre [12] desastre,causó [12] causó,partición [12] partición,palestina [12] palestina,incapacidad [11] nabilum,recomiendo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G7:
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: