The graph represents a network of 1,436 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2023-02-13 until:2023-02-20", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 20 February 2023 at 12:24 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 19-minute period from Monday, 13 February 2023 at 00:19 UTC to Sunday, 19 February 2023 at 23:38 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 : 1436
Unique Edges : 1710
Edges With Duplicates : 218
Total Edges : 1928
Number of Edge Types : 5
Retweet : 594
Replies to : 163
Tweet : 293
MentionsInRetweet : 425
Mentions : 453
Self-Loops : 301
Reciprocated Vertex Pair Ratio : 0.0374581939799331
Reciprocated Edge Ratio : 0.0722114764667956
Connected Components : 387
Single-Vertex Connected Components : 166
Maximum Vertices in a Connected Component : 470
Maximum Edges in a Connected Component : 823
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.396258
Graph Density : 0.000752671474187882
Modularity : 0.79184
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,436 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2023-02-13 until:2023-02-20", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 20 February 2023 at 12:24 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 19-minute period from Monday, 13 February 2023 at 00:19 UTC to Sunday, 19 February 2023 at 23:38 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 : TwitterSearch
Graph Term : #ddj OR (data journalism) since:2023-02-13 until:2023-02-20
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[280] data,journalism [112] #ddj,#datajournalism [103] quieres,hacer [103] ggplot2,#dataviz [103] cómo,hacer [103] mapas,archivos [103] sencillos,pasos [103] gráficos,ggplot2 [103] sigue,sencillos [103] #dataviz,#ddj Top Word Pairs in Tweet in G1:
[61] data,driven [60] driven,journalism [58] research,data [57] links,matter [57] use,research [56] achieving,links [56] matter,use [42] data,journalism [19] comes,huge [19] financial,costs Top Word Pairs in Tweet in G2:
[17] data,journalism [15] cutting,edge [15] state,lines [15] data,techniques [15] collaboration,newsrooms [15] employ,cutting [15] techniques,embrace [15] edge,data [15] proposals,employ [15] #datajournalism,grants Top Word Pairs in Tweet in G3:
[103] sencillos,pasos [103] archivos,shp [103] quieres,hacer [103] cómo,hacer [103] shp,sigue [103] ggplot2,#dataviz [103] hacer,mapas [103] gráficos,ggplot2 [103] mapas,archivos [103] sigue,sencillos Top Word Pairs in Tweet in G4:
[71] take,look [70] #datajournalism,survey [70] data,journalists [68] state,#datajournalism [63] download,#data [60] 800,data [60] challenges,face [60] journalists,replied [60] face,take [60] respondents,co Top Word Pairs in Tweet in G5:
[9] рус,co [8] data,journalism [6] #ddj,gijn [6] данных,#ddj [6] gijn,рус [6] в,топ [6] 10,журналистики [6] co,rnzttgtxwk [6] топ,10 [6] журналистики,данных Top Word Pairs in Tweet in G6:
[14] die,dms [14] #ddj,community [14] liebe,#ddj [14] bock,darauf [14] einfach,die [14] darauf,team [14] community,bock [14] team,verstärken [14] weiterzuentwickeln,fragen [14] fragen,einfach Top Word Pairs in Tweet in G7:
[16] clearly,gendered [16] journalism,#storykillers [16] campaigns,against [16] gendered,#disinformation [16] significant,feature [16] clear,objective [16] ranaayyub,clear [16] both,cases [16] #disinformation,significant [16] against,ghadaoueiss Top Word Pairs in Tweet in G8:
[5] data,journalism [4] vs,greats [4] latest,roundup [4] ma,data [4] seattle,15 [4] cool,data [4] power,data [4] immigrants,subnationally [4] two,day [4] bcujournalism,students Top Word Pairs in Tweet in G9:
[19] data,journalism [7] share,ave [7] accessibility,talking [7] address,presentation [7] male,field [7] going,#nicar23 [7] predominantly,male [7] #nicar23,panel [7] text,making [7] making,tip Top Word Pairs in Tweet in G10:
[10] data,driven [9] driven,journalism [9] research,data [9] achieving,links [9] matter,use [9] links,matter [9] use,research [6] journalists,understand [6] power,data [6] good,journalists Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G10:
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: