The graph represents a network of 2,923 Twitter users whose tweets in the requested range contained "#ddj OR (data journalism)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 October 2020 at 13:08 UTC.
The requested start date was Monday, 19 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 10,000.
The tweets in the network were tweeted over the 6-day, 23-hour, 27-minute period from Monday, 12 October 2020 at 00:05 UTC to Sunday, 18 October 2020 at 23:32 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 : 2923
Unique Edges : 2014
Edges With Duplicates : 4599
Total Edges : 6613
Number of Edge Types : 5
Retweet : 1840
MentionsInRetweet : 3058
Tweet : 341
Mentions : 1120
Replies to : 254
Self-Loops : 392
Reciprocated Vertex Pair Ratio : 0.0263233190271817
Reciprocated Edge Ratio : 0.0512963479230555
Connected Components : 455
Single-Vertex Connected Components : 146
Maximum Vertices in a Connected Component : 988
Maximum Edges in a Connected Component : 2458
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 9.474271
Graph Density : 0.000419973946862934
Modularity : 0.538607
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,923 Twitter users whose tweets in the requested range contained "#ddj OR (data journalism)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 October 2020 at 13:08 UTC.
The requested start date was Monday, 19 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 10,000.
The tweets in the network were tweeted over the 6-day, 23-hour, 27-minute period from Monday, 12 October 2020 at 00:05 UTC to Sunday, 18 October 2020 at 23:32 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 OR (data journalism)
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[482] data,journalism [207] investigative,journalism [163] international,consortium [153] consortium,investigative [151] journalism,icij [127] letmeh_speak,danialschon1 [112] obtained,data [98] fact,checking [97] danialschon1,reporters [97] reporters,responsible Top Word Pairs in Tweet in G1:
[61] data,journalism [19] journalism,analysis [17] cenozo,data [15] analysis,training [14] training,2020 [13] women,journalists [11] 2020,women [6] #journalism,#news [6] #news,#seeds [6] #seeds,#argentina Top Word Pairs in Tweet in G2:
[15] data,journalism [13] top,10 [13] #ddj,#dataviz [10] 2020,news [10] news,cycle [10] cycle,getting [10] getting,down [10] down,check [10] check,beautiful__news [10] beautiful__news,daily Top Word Pairs in Tweet in G3:
[68] seriously,compare [68] compare,journalism [68] journalism,nyt [68] nyt,trump's [68] trump's,taxes [68] taxes,examined [68] examined,thousands [68] thousands,taxes [68] taxes,spanning [68] spanning,years Top Word Pairs in Tweet in G4:
[68] visual,data [68] data,journalism [67] talented,financialtimes [67] financialtimes,visual [67] journalism,team [64] proud,part [64] part,incredibly [64] incredibly,talented [64] team,huge [64] huge,team Top Word Pairs in Tweet in G5:
[91] keep,going [91] going,back [91] back,pew [91] pew,data [91] data,revealing [91] revealing,many [91] many,major [91] major,media [91] media,outlets [91] outlets,speak Top Word Pairs in Tweet in G6:
[18] nrecherche,dachverband [18] dachverband,die [18] die,organisation [18] organisation,deutschsprachigen [18] deutschsprachigen,#datenjournalismus [18] #datenjournalismus,#ddj [17] bschwentker,nrecherche [17] #ddj,gru [10] weil,mensch [10] statistical,excellence Top Word Pairs in Tweet in G7:
[24] social,media [21] data,journalism [20] dotndot,social [17] thursday,join [17] join,lobenichou [17] lobenichou,washingtonpost [17] washingtonpost,schwanksta [17] schwanksta,propublica [17] propublica,discuss [17] discuss,election Top Word Pairs in Tweet in G8:
[44] international,consortium [44] consortium,investigative [42] investigative,journalism [42] journalism,icij [33] icij,obtained [33] obtained,data [22] #timetoblacklistindia,international [22] data,traces [15] 1nojutt,aroshasahar [15] aroshasahar,a_o786 Top Word Pairs in Tweet in G9:
[20] data,journalism [5] ma,data [5] #dataviz,#ddj [4] journalism,ft [4] covid,19 [4] journalism,course [4] week's,#dataviz [3] visual,data [3] inner,geek [3] geek,coming Top Word Pairs in Tweet in G10:
[36] data,journalism [13] berkeley,journalism [13] journalism,hiring [13] hiring,part [13] part,time [13] time,online [13] online,instructors [13] instructors,spring [13] spring,semester [13] semester,teach Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: