The graph represents a network of 3,854 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2020-09-28 until:2020-10-05", 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, 05 October 2020 at 08:53 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 45-minute period from Monday, 28 September 2020 at 00:00 UTC to Sunday, 04 October 2020 at 23:45 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 : 3854
Unique Edges : 5950
Edges With Duplicates : 1036
Total Edges : 6986
Number of Edge Types : 5
Retweet : 2831
MentionsInRetweet : 2516
Mentions : 992
Tweet : 374
Replies to : 273
Self-Loops : 400
Reciprocated Vertex Pair Ratio : 0.0292666326356985
Reciprocated Edge Ratio : 0.0568689039510663
Connected Components : 456
Single-Vertex Connected Components : 135
Maximum Vertices in a Connected Component : 1635
Maximum Edges in a Connected Component : 3686
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.354463
Graph Density : 0.000407354825380206
Modularity : 0.812945
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,854 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2020-09-28 until:2020-10-05", 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, 05 October 2020 at 08:53 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 45-minute period from Monday, 28 September 2020 at 00:00 UTC to Sunday, 04 October 2020 at 23:45 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:2020-09-28 until:2020-10-05
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:
[838] investigative,journalism [817] trump,campaign [763] data,journalism [405] channel,news [404] black,americans [400] americans,voting [399] campaign,strategy [399] strategy,deter [399] deter,millions [399] millions,black Top Word Pairs in Tweet in G1:
[322] journalism,channel4news [288] big,data [285] piece,journalism [285] data,big [284] stunning,piece [284] channel4news,trump [284] trump,campaign's [284] campaign's,use [284] use,micro [284] micro,targeting Top Word Pairs in Tweet in G2:
[790] trump,campaign [395] folks,report [395] report,mentioned [395] mentioned,yesterday [395] yesterday,channel [395] channel,news [395] news,uk [395] uk,great [395] great,investigative [395] investigative,journalism Top Word Pairs in Tweet in G3:
[311] data,journalism [311] journalism,biel [311] biel,já [311] já,levou [311] levou,mais [311] mais,votos [311] votos,fazenda [311] fazenda,teve [311] teve,hits [311] hits,carreira Top Word Pairs in Tweet in G4:
[85] #ddj,#datajourno [75] data,reporting [74] 10,#ddj [65] local,news [64] top,10 [61] news,data [60] #jskbln,#ddj [53] jskstanford,biglocalnews [50] data,driven [47] data,journalism Top Word Pairs in Tweet in G5:
[45] data,journalism [9] investigative,journalism [9] journalism,data [6] mass,customisation [6] customisation,neighbourhood [6] neighbourhood,data [6] data,help [6] help,hyperlocal [6] hyperlocal,news [6] news,become Top Word Pairs in Tweet in G6:
[210] international,consortium [210] consortium,investigative [210] investigative,journalism [154] journalism,icij [127] obtained,data [117] transactions,#fatfmustblacklistindia [108] indian,banks [89] icij,obtained [73] data,transactions [57] data,transfers Top Word Pairs in Tweet in G7:
[41] data,journalism [10] journalism,week [9] shared,data [9] data,unit [9] received,copy [9] copy,timharford [9] timharford,book [9] book,yesterday [9] yesterday,timely [9] timely,reminder Top Word Pairs in Tweet in G8:
[68] nytinteractive,seeking [68] seeking,full [68] full,time [68] time,contractors [68] contractors,help [68] help,covid [68] covid,19 [68] 19,data [68] data,acquisition [68] acquisition,process Top Word Pairs in Tweet in G9:
[147] international,consortium [147] journalism,icij [147] icij,obtained [147] obtained,data [135] data,traces [135] traces,global [126] consortium,investigative [126] investigative,journalism [121] global,transactions [77] transactions,part Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G4:
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: