The graph represents a network of 2,941 Twitter users whose recent tweets contained "#ddj OR (data journalism)", 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 Monday, 11 November 2019 at 13:23 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 2-minute period from Saturday, 02 November 2019 at 15:13 UTC to Monday, 11 November 2019 at 13:16 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 : 2941
Unique Edges : 4682
Edges With Duplicates : 855
Total Edges : 5537
Self-Loops : 468
Reciprocated Vertex Pair Ratio : 0.0342768686421937
Reciprocated Edge Ratio : 0.0662818045755826
Connected Components : 447
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 1181
Maximum Edges in a Connected Component : 2961
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.318215
Graph Density : 0.000540910005620745
Modularity : 0.782316
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,941 Twitter users whose recent tweets contained "#ddj OR (data journalism)", 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 Monday, 11 November 2019 at 13:23 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 2-minute period from Saturday, 02 November 2019 at 15:13 UTC to Monday, 11 November 2019 at 13:16 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)
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:
[732] data,journalism [178] investigative,journalism [131] columbia,university [127] getting,really [127] really,tired [127] tired,dds [127] dds,challenging [127] challenging,reality [127] reality,ejks [127] ejks,duterte's Top Word Pairs in Tweet in G1:
[83] top,10 [79] 10,#ddj [64] more,here [63] answer,questions [58] questions,editor [58] editor,ask [58] ask,editing [58] editing,datajournalism [58] datajournalism,data [58] data,answer Top Word Pairs in Tweet in G2:
[121] data,journalism [37] computation,journalism [37] data,visualization [36] journalism,symposium [27] journalism,team [26] building,out [26] out,cool [26] cool,new [26] new,data [26] team,abc Top Word Pairs in Tweet in G3:
[65] data,journalism [7] data,voids [7] web,opened [7] opened,door [7] door,manipulators [7] manipulators,disinformation [7] disinformation,pushers [7] ai,data [6] watch,language [6] language,data Top Word Pairs in Tweet in G4:
[127] getting,really [127] really,tired [127] tired,dds [127] dds,challenging [127] challenging,reality [127] reality,ejks [127] ejks,duterte's [127] duterte's,war [127] war,drugs [127] drugs,here's Top Word Pairs in Tweet in G5:
[29] data,journalism [19] sinarproject,0 [19] 0,05 [19] 05,glc's [19] glc's,tax [19] tax,exemption [19] exemption,youth [19] youth,training [19] training,programs [19] programs,alone Top Word Pairs in Tweet in G6:
[29] data,journalism [28] first,year [24] graphic,detail' [24] detail',theeconomist's [24] theeconomist's,print [24] print,section [24] section,dedicated [24] dedicated,data [24] journalism,turned [24] turned,one Top Word Pairs in Tweet in G7:
[34] visual,journalism [34] journalism,actionable [34] actionable,insight [34] insight,avoid [34] avoid,london's [34] london's,central [34] central,line [34] line,lesliehook [34] lesliehook,camillahodgson's [34] camillahodgson's,data Top Word Pairs in Tweet in G8:
[45] data,center [8] data,centers [7] #datacenter,#hyperscale [7] #hyperscale,#cloud [6] center,disaster [6] disaster,inevitable [6] inevitable,lessons [5] #datacenter,#earthquake [5] #iot,#ai [5] nuclear,industry Top Word Pairs in Tweet in G9:
[55] simple,investigation [55] investigation,before [55] before,twitting [55] twitting,thecableng [55] thecableng,see [55] see,useless [55] useless,guys [55] guys,something [55] something,required [55] required,travel Top Word Pairs in Tweet in G10:
[14] liebe,#ddj [14] #ddj,community [14] community,kenne [14] kenne,eine [14] eine,talentierte [14] talentierte,nachwuchsjournalistin [14] nachwuchsjournalistin,herbst [14] herbst,ihr [14] ihr,studium [14] studium,js_mainz Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 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: