The graph represents a network of 2,849 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, 18 November 2019 at 20:30 UTC.
The requested date range was from Monday, 11 November 2019 at 00:00 UTC through Sunday, 17 November 2019 at 00:00 UTC.
The tweets in the network were tweeted over the 4-day, 8-hour, 5-minute period from Tuesday, 12 November 2019 at 15:41 UTC to Saturday, 16 November 2019 at 23:46 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 : 2849
Unique Edges : 3461
Edges With Duplicates : 801
Total Edges : 4262
Self-Loops : 635
Reciprocated Vertex Pair Ratio : 0.0188372848327379
Reciprocated Edge Ratio : 0.0369780044628626
Connected Components : 595
Single-Vertex Connected Components : 405
Maximum Vertices in a Connected Component : 1617
Maximum Edges in a Connected Component : 2891
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.7814
Graph Density : 0.000386618013022507
Modularity : 0.731634
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,849 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, 18 November 2019 at 20:30 UTC.
The requested date range was from Monday, 11 November 2019 at 00:00 UTC through Sunday, 17 November 2019 at 00:00 UTC.
The tweets in the network were tweeted over the 4-day, 8-hour, 5-minute period from Tuesday, 12 November 2019 at 15:41 UTC to Saturday, 16 November 2019 at 23:46 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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1018] data,journalism [429] tech,matters [429] matters,less [428] less,people [425] journalism,tech [364] dou,em [363] em,#ddj [301] jornalismo,dados [234] ben,casselman [209] divulgo,aqui Top Word Pairs in Tweet in G1:
[345] data,journalism [317] tech,matters [317] matters,less [317] less,people [316] journalism,tech [184] ben,casselman [177] people,ben [155] casselman,nyt [50] new,york [50] york,times Top Word Pairs in Tweet in G2:
[364] dou,em [363] em,#ddj [299] jornalismo,dados [207] divulgo,aqui [207] aqui,manual [206] sergiospagnuolo,divulgo [200] manual,jornalismo [198] dados,venho [192] venho,produzindo [192] produzindo,há Top Word Pairs in Tweet in G3:
[64] isn,t [64] t,story [64] story,people [64] people,story [62] data,journalism [60] end,day [60] data,isn [59] day,data [46] story,love [46] love,data Top Word Pairs in Tweet in G4:
[23] top,10 [19] 10,#ddj [13] icijorg,#icijdatashare [13] use,interactive [13] interactive,map [13] map,learn [13] learn,payments [13] payments,made [13] made,#odebrecht [13] #odebrecht,s Top Word Pairs in Tweet in G5:
[88] data,journalism [37] data,driven [22] ap,data [21] data,data [20] 1,wsj [20] wsj,informs [20] informs,public [20] public,google [20] google,amassing [20] amassing,detailed Top Word Pairs in Tweet in G6:
[133] need,full [133] full,scholarship [133] scholarship,columbia [133] columbia,data [133] data,journalism [133] journalism,degree [133] degree,african [133] african,yes [132] namlyd,need Top Word Pairs in Tweet in G7:
[50] data,journalism [33] journalism,tech [33] tech,matters [33] matters,less [33] less,people [33] people,add [33] add,same [33] same,true [33] true,automated [33] automated,algorithmic Top Word Pairs in Tweet in G8:
[87] data,journalism [82] great,idea [82] idea,looking [82] looking,female [82] female,speaker [82] speaker,replace [82] replace,keynote [82] keynote,tech [82] tech,conference [82] conference,data Top Word Pairs in Tweet in G9:
[6] journalism,students [6] students,recent [6] recent,grads [6] grads,deadline [6] deadline,marshallproj [6] marshallproj,s [6] s,2020 [6] 2020,summer [6] summer,internships [6] internships,one Top Word Pairs in Tweet in G10:
[18] health,websites [16] data,advertisers [15] top,health [15] websites,sharing [15] sharing,sensitive [15] sensitive,data [15] nice,see [15] see,r [15] r,nyt [15] nyt,headline Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G7:
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Top Replied-To in G9:
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:
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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: