The graph represents a network of 3,648 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 Tuesday, 26 November 2019 at 01:06 UTC.
The requested date range was from Monday, 18 November 2019 at 00:00 UTC through Monday, 25 November 2019 at 00:00 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 46-minute period from Monday, 18 November 2019 at 00:01 UTC to Sunday, 24 November 2019 at 23:48 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 : 3648
Unique Edges : 4437
Edges With Duplicates : 1150
Total Edges : 5587
Self-Loops : 529
Reciprocated Vertex Pair Ratio : 0.0257189618891747
Reciprocated Edge Ratio : 0.0501481650330522
Connected Components : 432
Single-Vertex Connected Components : 202
Maximum Vertices in a Connected Component : 1645
Maximum Edges in a Connected Component : 3287
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.277815
Graph Density : 0.000329744105946248
Modularity : 0.750175
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,648 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 Tuesday, 26 November 2019 at 01:06 UTC.
The requested date range was from Monday, 18 November 2019 at 00:00 UTC through Monday, 25 November 2019 at 00:00 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 46-minute period from Monday, 18 November 2019 at 00:01 UTC to Sunday, 24 November 2019 at 23:48 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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[832] data,journalism [586] sudhir,toh [586] toh,kya [582] hain,sudhir [581] people,pyaaz [581] pyaaz,ke [581] ke,daam [581] daam,badh [581] badh,rahe [581] rahe,hain Top Word Pairs in Tweet in G1:
[574] sudhir,toh [574] toh,kya [573] earlier,people [573] people,pyaaz [573] pyaaz,ke [573] ke,daam [573] daam,badh [573] badh,rahe [573] rahe,hain [573] hain,sudhir Top Word Pairs in Tweet in G2:
[521] dou,em [521] em,#ddj [221] jornalismo,dados [168] jornalismodados,dou [142] #ddj,jornalismodados [34] während,2 [34] 2,ziel [34] ziel,global [34] global,noch [34] noch,überschritten Top Word Pairs in Tweet in G3:
[97] data,journalism [52] 150,000 [39] journalism,scholarship [37] pulitzer,africa [37] africa,data [29] up,150 [27] top,10 [26] machine,learning [26] scholarship,columbiajourn [25] 10,#ddj Top Word Pairs in Tweet in G4:
[92] data,journalism [18] truth,numbers [18] numbers,redefining [18] journalism,through [18] through,art [17] redefining,data [15] pulitzer,africa [15] africa,data [11] tech,matters [11] matters,less Top Word Pairs in Tweet in G5:
[194] data,journalism [191] stearsbusiness,team [191] team,expanding [191] expanding,new [191] new,roles [191] roles,data [191] journalism,storytelling [191] storytelling,engineering [191] engineering,analysis [187] stearsbusiness,stearsbusiness Top Word Pairs in Tweet in G6:
[39] want,download [39] download,data [39] data,play [39] play,make [39] make,ours [39] ours,available [39] available,discover [39] discover,party [39] party,candidates [39] candidates,sport Top Word Pairs in Tweet in G7:
[77] neues,projekt [77] projekt,haben [77] haben,jeden [77] jeden,bezirk [77] bezirk,aufgeschlüsselt [77] aufgeschlüsselt,wo [77] wo,öffentliche [77] öffentliche,verkehr [77] verkehr,gegenüber [77] gegenüber,dem Top Word Pairs in Tweet in G8:
[92] 1,8 [92] 8,last [92] last,decade [92] decade,ve [92] ve,distinct [92] distinct,honor [92] honor,working [92] working,leading [92] leading,greatest [92] greatest,newsroom Top Word Pairs in Tweet in G9:
[31] charts,lie' [30] 'how,charts [29] c,span2's [29] span2's,booktv [29] booktv,recorded [29] recorded,public [29] public,'how [29] lie',lecture [29] lecture,northeastern [29] northeastern,university Top Word Pairs in Tweet in G10:
[9] ai,public [8] released,next [8] next,newsroom [8] newsroom,new [8] new,ebu [8] ebu,eurovision [8] eurovision,news [8] news,report [8] report,looking [8] looking,unlocking Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 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:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: