The graph represents a network of 1,843 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, 26 December 2022 at 17:32 UTC.
The requested start date was Monday, 26 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 10,000.
The tweets in the network were tweeted over the 6-day, 23-hour, 47-minute period from Monday, 19 December 2022 at 01:06 UTC to Monday, 26 December 2022 at 00:53 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 : 1843
Unique Edges : 1276
Edges With Duplicates : 2432
Total Edges : 3708
Number of Edge Types : 5
Tweet : 264
Retweet : 1136
MentionsInRetweet : 1766
Mentions : 415
Replies to : 127
Self-Loops : 279
Reciprocated Vertex Pair Ratio : 0.0189359783588819
Reciprocated Edge Ratio : 0.0371681415929204
Connected Components : 283
Single-Vertex Connected Components : 95
Maximum Vertices in a Connected Component : 273
Maximum Edges in a Connected Component : 747
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.808836
Graph Density : 0.000665722871940252
Modularity : 0.595796
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,843 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, 26 December 2022 at 17:32 UTC.
The requested start date was Monday, 26 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 7.
The maximum number of tweets collected was 10,000.
The tweets in the network were tweeted over the 6-day, 23-hour, 47-minute period from Monday, 19 December 2022 at 01:06 UTC to Monday, 26 December 2022 at 00:53 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[296] data,journalism [249] global,attitudes [249] 2023,interns [249] area,opportunities [249] dc,area [249] please,pewresearch [249] interns,17 [249] opportunities,global [249] hour,dc [249] pewresearch,looking Top Word Pairs in Tweet in G1:
[249] 2023,interns [249] attitudes,religion [249] opportunities,global [249] interns,17 [249] 17,hour [249] please,pewresearch [249] global,attitudes [249] looking,summer [249] area,opportunities [249] dc,area Top Word Pairs in Tweet in G2:
[129] striking,nurses [129] nurses,paramedics [129] economic,woes [129] rail,workers [129] article,explain [129] workers,rail [129] due,striking [129] postal,workers [129] explain,economic [129] woes,due Top Word Pairs in Tweet in G3:
[31] independent,journalism [31] journalism,australia [31] data,theft [29] data,journalism [29] elon,musk [27] let's,stop [27] abuse,#computerscience [27] #dataanalytics,#business [27] #reporter,#press [27] #instagram,#reporter Top Word Pairs in Tweet in G4:
[28] journalism,mass [28] mass,communication [23] 30,below [23] communication,university [23] aged,30 [23] studying,journalism [23] below,studying [23] rwandan,aged [23] university,keen [23] keen,investigative Top Word Pairs in Tweet in G5:
[76] here's,one [76] uklabour,next [76] journalism,ft [76] data,journalism [76] ft,here's [76] brilliant,data [76] next,election [76] one,uklabour [75] hcdayantis,brilliant Top Word Pairs in Tweet in G6:
[10] #ddj,gijn [10] в,топ [10] топ,10 [9] отвечаем,на [9] на,графиках [9] проектов,2022 [9] лучших,дата [9] дата,проектов [9] российского,газа [9] 2022,года Top Word Pairs in Tweet in G7:
[48] 2022,enormously [48] music,video [48] stats,2022 [48] enormously,successful [48] superhit,music [48] one,different [48] season,superhit [48] different,terms [48] note,each [48] each,one Top Word Pairs in Tweet in G8:
[11] white,christmas [10] christmas,data [10] story,data [10] sigma,awards [10] data,story [10] met,office [10] dreaming,white [10] data,met [9] jan,19 [9] ve,seen Top Word Pairs in Tweet in G10:
[4] citizen,journalism [3] journalism,inssrcase [2] powerful,minuscule [2] rich,powerful [2] rahulgandhi,good [2] rrr,rise [2] teaches,journalism [2] haven't,seen [2] people,involved [2] lessons,righteous Top Replied-To in Entire Graph:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: