The graph represents a network of 2,392 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2022-09-26 until:2022-10-03", 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 Tuesday, 04 October 2022 at 09:23 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 0-minute period from Monday, 26 September 2022 at 02:46 UTC to Sunday, 02 October 2022 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 : 2392
Unique Edges : 3010
Edges With Duplicates : 273
Total Edges : 3283
Number of Edge Types : 5
Replies to : 151
Tweet : 232
Retweet : 1610
MentionsInRetweet : 725
Mentions : 565
Self-Loops : 239
Reciprocated Vertex Pair Ratio : 0.0230930720783765
Reciprocated Edge Ratio : 0.0451436388508892
Connected Components : 315
Single-Vertex Connected Components : 91
Maximum Vertices in a Connected Component : 632
Maximum Edges in a Connected Component : 996
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.412121
Graph Density : 0.00051125387986443
Modularity : 0.842882
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,392 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2022-09-26 until:2022-10-03", 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 Tuesday, 04 October 2022 at 09:23 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 0-minute period from Monday, 26 September 2022 at 02:46 UTC to Sunday, 02 October 2022 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 : TwitterSearch
Graph Term : #ddj OR (data journalism) since:2022-09-26 until:2022-10-03
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:
[634] safe,nigerians [634] nigerians,rely [634] rely,david [634] david,hundeyin's [634] hundeyin's,brand [634] brand,journalism [634] journalism,probably [634] probably,unbiased [634] unbiased,well [634] well,written Top Word Pairs in Tweet in G1:
[634] safe,nigerians [634] nigerians,rely [634] rely,david [634] david,hundeyin's [634] hundeyin's,brand [634] brand,journalism [634] journalism,probably [634] probably,unbiased [634] unbiased,well [634] well,written Top Word Pairs in Tweet in G2:
[103] bail,reform [97] justice,journalism [97] journalism,fact [97] fact,based [97] based,data [97] data,based [97] based,far [97] far,sensational [97] sensational,possible [97] possible,newsday Top Word Pairs in Tweet in G3:
[35] die,dürreschäden [35] dürreschäden,wälder [35] wälder,waren [35] waren,nie [35] nie,sichtbarer [35] sichtbarer,viertel [35] viertel,verliert [35] verliert,klimastress [35] klimastress,rasant [35] rasant,vitalität Top Word Pairs in Tweet in G4:
[18] data,journalism [9] raw,story [9] story,celebrating [9] celebrating,18 [9] 18,years [9] years,independent [9] independent,journalism [8] monster',former [8] former,gop [8] gop,lawmaker Top Word Pairs in Tweet in G5:
[156] assistant,professor [81] data,journalism [78] university,amsterdam [78] amsterdam,media [78] media,studies [78] studies,area [78] area,media [78] media,digital [78] digital,culture [78] culture,two Top Word Pairs in Tweet in G6:
[75] immediately,#snowden [75] #snowden,granted [75] granted,#russian [75] #russian,citizenship [75] citizenship,top [75] top,italian [75] italian,columnist [75] columnist,tweeted [75] tweeted,#snowden [75] #snowden,enrolled Top Word Pairs in Tweet in G7:
[71] mainstream,media [71] investigative,journalism [38] media,doing [38] doing,lot [38] lot,data [38] data,attesting [38] attesting,corruption [38] corruption,embezzlement [38] embezzlement,crimes [38] crimes,made Top Word Pairs in Tweet in G8:
[20] #journalism,#data [19] occrp,looking [19] looking,someone [19] someone,dev [19] dev,opsy [19] opsy,#data [19] #data,team [19] team,leaks [19] leaks,process [19] process,themselves Top Word Pairs in Tweet in G9:
[47] good,journalism [45] ghorayshi,basically [45] basically,catches [45] catches,slippery [45] slippery,things [45] things,journos [45] journos,miss [45] miss,fall [45] fall,clinicians [45] clinicians,high Top Word Pairs in Tweet in G10:
[29] data,journalism [12] advanced,data [10] last,week [10] week,week [10] week,asynchronous [10] asynchronous,online [10] online,advanced [10] journalism,course [10] course,week's [10] week's,stats Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: