The graph represents a network of 1,960 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2022-10-31 until:2022-11-07", 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, 07 November 2022 at 11:29 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 49-minute period from Monday, 31 October 2022 at 00:02 UTC to Sunday, 06 November 2022 at 23:51 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 : 1960
Unique Edges : 2695
Edges With Duplicates : 457
Total Edges : 3152
Number of Edge Types : 5
Retweet : 1057
MentionsInRetweet : 900
Mentions : 621
Replies to : 247
Tweet : 327
Self-Loops : 338
Reciprocated Vertex Pair Ratio : 0.025989138867339
Reciprocated Edge Ratio : 0.0506616257088847
Connected Components : 334
Single-Vertex Connected Components : 95
Maximum Vertices in a Connected Component : 471
Maximum Edges in a Connected Component : 1117
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.464172
Graph Density : 0.000688866664583138
Modularity : 0.799928
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 1,960 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2022-10-31 until:2022-11-07", 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, 07 November 2022 at 11:29 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 49-minute period from Monday, 31 October 2022 at 00:02 UTC to Sunday, 06 November 2022 at 23:51 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:2022-10-31 until:2022-11-07
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:
[346] data,journalism [199] data,entry [196] grace,chisi [196] time,experience [196] hi,name [196] mubas,currently [196] communication,mubas [196] part,time [196] currently,school [196] holiday,next Top Word Pairs in Tweet in G1:
[196] months,take [196] diploma,journalism [196] take,part [196] time,job [196] part,time [196] journalism,currently [196] business,communication [196] hi,name [196] grace,chisi [196] pursuing,degree Top Word Pairs in Tweet in G2:
[32] data,journalism [30] parkplatzt,hnshck [30] #berlin,wissen [30] selbst,gezählt [30] viel,stadt [30] problem,man [30] stadt,verbrauchen [30] autos,besonders [30] gezählt,#ddj [30] parkplätze,öffentlichen Top Word Pairs in Tweet in G3:
[166] original,over [166] over,55 [166] 4x,under [166] 54,rfsquared [166] under,54 [166] bivalent,increase [166] rfsquared,point [166] increase,original [166] point,journalism [166] 55,4x Top Word Pairs in Tweet in G4:
[31] data,journalism [7] data,driven [6] 18,years [6] independent,journalism [6] celebrating,18 [6] tech,graduate [6] raw,story [6] years,independent [6] story,celebrating [5] report,raw Top Word Pairs in Tweet in G5:
[86] data,journalism [18] analyzing,data [16] training,session [15] journalists,use [13] data,science [13] resources,help [12] science,journalism [11] collaborative,investigative [11] introduction,data [11] mobile,journalism Top Word Pairs in Tweet in G6:
[59] hospital,stays [59] under,rule [59] suspended,during [59] people,pip [59] tens,thousands [59] stays,under [59] payments,suspended [59] penalises,vulnerable [59] vulnerable,#pmld [59] #pmld,#ddj Top Word Pairs in Tweet in G7:
[5] revoke,#bouzy's [5] doxes,instead [5] twittersafety,#gdpr [5] being,impartial [5] #botsentinel,lie [5] secure,#journalism [5] keeping,secure [5] stop,feeding [5] twitter,owned [5] instead,keeping Top Word Pairs in Tweet in G8:
[33] news,declining [33] important,age [33] information,vital [33] today's,report [33] age,misinformation [33] journalism,maintain [33] timely,important [33] commonsjustice,timely [33] trust,institutions [33] support,good Top Word Pairs in Tweet in G9:
[3] #datajournalism,etc [3] #ddj,#datajournalism [2] etc,links [2] #data,#ddj [2] #dataviz,#data Top Word Pairs in Tweet in G10:
[11] reporter,reviewjournal [11] data,reporter [11] impactful,investigations [11] job,hiring [11] hiring,investigative [11] investigative,data [11] investigations,nahj [11] come,work [11] nabj,najournalists [11] team,regularly Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
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: