The graph represents a network of 4,366 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, 21 September 2020 at 13:07 UTC.
The requested start date was Monday, 21 September 2020 at 00:01 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, 34-minute period from Monday, 14 September 2020 at 00:07 UTC to Sunday, 20 September 2020 at 23:41 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 : 4366
Unique Edges : 1887
Edges With Duplicates : 7282
Total Edges : 9169
Number of Edge Types : 5
Retweet : 3222
MentionsInRetweet : 4006
Mentions : 1392
Tweet : 361
Replies to : 188
Self-Loops : 386
Reciprocated Vertex Pair Ratio : 0.0185528756957328
Reciprocated Edge Ratio : 0.0364298724954463
Connected Components : 420
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 2807
Maximum Edges in a Connected Component : 6538
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.244649
Graph Density : 0.000259266780322171
Modularity : 0.522537
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,366 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, 21 September 2020 at 13:07 UTC.
The requested start date was Monday, 21 September 2020 at 00:01 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, 34-minute period from Monday, 14 September 2020 at 00:07 UTC to Sunday, 20 September 2020 at 23:41 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:
[795] data,journalism [621] dodgy,data [620] terrible,period [620] period,broadcast [620] broadcast,journalism [620] journalism,reporters [620] reporters,drilling [620] drilling,down [620] down,dodgy [619] allisonpearson,terrible Top Word Pairs in Tweet in G1:
[617] terrible,period [617] period,broadcast [617] broadcast,journalism [617] journalism,reporters [617] reporters,drilling [617] drilling,down [617] down,dodgy [617] dodgy,data [616] allisonpearson,terrible [616] data,pa Top Word Pairs in Tweet in G2:
[451] found,banking [451] banking,secrets [451] secrets,politicians [451] politicians,public [451] public,figures [451] figures,paul [451] paul,manafort [451] manafort,former [451] former,ukrainian [451] ukrainian,presidential Top Word Pairs in Tweet in G3:
[346] data,journalism [344] left,old [344] old,job [344] job,data [344] journalism,people [344] people,explain [344] explain,experiences [344] experiences,abuse [344] abuse,discrimination [343] monachalabi,left Top Word Pairs in Tweet in G4:
[63] data,reporting [54] local,news [53] reporting,grants [49] news,data [49] 10,#ddj [49] data,journalism [46] top,10 [45] data,driven [39] jsk,big [39] big,local Top Word Pairs in Tweet in G5:
[221] bnn,news [221] news,team [221] team,brings [221] brings,latest [221] latest,polling [221] polling,data [221] data,showing [221] showing,biden [221] biden,100 [221] 100,chance Top Word Pairs in Tweet in G6:
[473] dou,em [473] em,#ddj [159] jornalismodados,dou [156] #ddj,jornalismodados [124] jornalismo,dados [25] trabalhar,jornalismo [23] abraji,quer [23] quer,trabalhar [21] #ddj,escoladedados [20] dados,mas Top Word Pairs in Tweet in G7:
[176] animation,showing [176] showing,smoke [176] smoke,wildfires [176] wildfires,west [176] west,coast [176] coast,affecting [176] affecting,areas [176] areas,far [176] far,away [176] away,york Top Word Pairs in Tweet in G8:
[150] journalismus,wirkt [150] wirkt,gericht [150] gericht,heute [150] heute,die [150] die,senuvkberlin [150] senuvkberlin,verwaltungsgericht [150] verwaltungsgericht,beschwerde [150] beschwerde,gegen [149] plateauton,journalismus [149] gegen,urtei Top Word Pairs in Tweet in G9:
[51] data,journalism [7] being,used [6] analytics,being [6] used,data [6] local,news [5] jsk,big [5] big,local [5] journalism,grants [4] #data,#journalism [4] data,driven Top Word Pairs in Tweet in G10:
[80] 2018,2019 [80] 2019,immer [75] zwei,aufeinanderfolgende [75] aufeinanderfolgende,dürren [75] dürren,jahr [75] jahr,2018 [75] immer,wenig [75] wenig,regen [75] regen,gab [75] gab,laut Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: