The graph represents a network of 2,716 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 Wednesday, 30 December 2020 at 14:32 UTC.
The requested start date was Monday, 28 December 2020 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, 39-minute period from Monday, 21 December 2020 at 01:17 UTC to Monday, 28 December 2020 at 00:56 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 : 2716
Unique Edges : 1462
Edges With Duplicates : 4313
Total Edges : 5775
Number of Edge Types : 5
Tweet : 280
Retweet : 2029
MentionsInRetweet : 2786
Replies to : 147
Mentions : 533
Self-Loops : 292
Reciprocated Vertex Pair Ratio : 0.0147874306839187
Reciprocated Edge Ratio : 0.029143897996357
Connected Components : 335
Single-Vertex Connected Components : 108
Maximum Vertices in a Connected Component : 1209
Maximum Edges in a Connected Component : 3175
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.99876
Graph Density : 0.000446708272646645
Modularity : 0.548046
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,716 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 Wednesday, 30 December 2020 at 14:32 UTC.
The requested start date was Monday, 28 December 2020 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, 39-minute period from Monday, 21 December 2020 at 01:17 UTC to Monday, 28 December 2020 at 00:56 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:
[1092] data,journalism [412] data,journalist [339] journalist,data [281] hiring,data [269] build,statistical [269] statistical,models [267] fluent,build [267] models,write [267] write,clean [267] clean,copy Top Word Pairs in Tweet in G1:
[323] data,journalism [154] data,journalist [127] join,economist's [127] economist's,data [126] hiring,come [126] come,help [126] help,theeconomist [126] theeconomist,create [126] create,more [126] more,award Top Word Pairs in Tweet in G2:
[251] data,journalism [246] journalism,way [246] way,becoming [246] becoming,scariest [246] scariest,phrase [246] phrase,english [246] english,language [245] indiaspeakspr,data [52] quote,instead [52] instead,indian Top Word Pairs in Tweet in G3:
[94] top,10 [85] data,journalism [80] 10,#ddj [63] 2020,top [48] gijn,2020 [32] 2020,important [32] important,year [32] year,#datajournalism [32] #datajournalism,#covid19 [32] #covid19,shown Top Word Pairs in Tweet in G4:
[223] data,journalist [223] journalist,data [199] fluent,build [199] build,statistical [199] statistical,models [199] models,write [199] write,clean [199] clean,copy [199] copy,hiring [199] hiring,data Top Word Pairs in Tweet in G5:
[149] job,alert [149] data,visuals [149] visuals,reporter [143] journalism,job [143] alert,19thnews [143] 19thnews,hiring [143] hiring,four [143] four,editorial [143] editorial,positions [143] positions,including Top Word Pairs in Tweet in G6:
[108] data,journalism [102] next,time [101] rukmini,next [101] time,teach [101] teach,class [101] class,data [101] journalism,first [101] first,session [101] session,one [101] one,slide Top Word Pairs in Tweet in G7:
[52] data,journalism [8] covid,19 [6] data,driven [6] investigative,journalism [5] journalism,data [4] journalism,award [4] journalism,top [4] top,10 [4] 10,2020 [4] 2020,covid Top Word Pairs in Tweet in G8:
[78] deepa_driver,#wikileaks [48] #wikileaks,mainstreamed [48] mainstreamed,data [48] data,journalism [48] journalism,profoundly [48] profoundly,shaped [48] shaped,global [48] global,collaborative [48] collaborative,journalism [48] journalism,enabled Top Word Pairs in Tweet in G9:
[55] data,journalism [53] journalism,team [52] calculator,abc [52] abc,news' [52] news',data [52] team,tells [52] tells,much [52] much,expect [52] expect,receive [52] receive,covid Top Word Pairs in Tweet in G10:
[44] psychology,fine [44] fine,arts [44] arts,finance [31] finance,entrepreneurship [30] jindal,global [30] global,university [30] university,launches [30] launches,academic [30] academic,programmes [30] programmes,psychology Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
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: