The graph represents a network of 870 Twitter users whose tweets in the requested range contained "datajournalism", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 13 November 2019 at 14:05 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 10-minute period from Monday, 28 October 2019 at 01:37 UTC to Monday, 11 November 2019 at 00:48 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 : 870
Unique Edges : 1192
Edges With Duplicates : 385
Total Edges : 1577
Number of Edge Types : 3
Mentions : 1399
Replies to : 32
Tweet : 146
Self-Loops : 146
Reciprocated Vertex Pair Ratio : 0.0310402684563758
Reciprocated Edge Ratio : 0.0602115541090317
Connected Components : 99
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 357
Maximum Edges in a Connected Component : 887
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.959589
Graph Density : 0.00162559686784916
Modularity : 0.693974
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 870 Twitter users whose tweets in the requested range contained "datajournalism", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 13 November 2019 at 14:05 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 10-minute period from Monday, 28 October 2019 at 01:37 UTC to Monday, 11 November 2019 at 00:48 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 : datajournalism
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[321] à,à [254] ð,ð [112] ñ,ð [101] ð,ñ [83] flints,right [83] country,wide [83] wide,#datajournalism [83] investigation,shows [82] â,œwe [82] œwe,flints Top Word Pairs in Tweet in G1:
[309] à,à [254] ð,ð [112] ñ,ð [101] ð,ñ [51] ñ,ñ [43] questions,editor [43] editor,ask [43] ask,editing [43] editing,datajournalism [43] datajournalism,data Top Word Pairs in Tweet in G2:
[72] flints,right [72] country,wide [72] wide,#datajournalism [72] #datajournalism,investigation [72] investigation,shows [72] shows,unacceptably [72] unacceptably,high [72] high,lead [72] lead,levels [71] â,œwe Top Word Pairs in Tweet in G3:
[33] comuni,italiani [32] miseria,e [32] e,nobilitã [32] nobilitã,dei [32] dei,comuni [32] italiani,#report [32] #report,collaborazione [32] collaborazione,openpolis [32] openpolis,presenta [32] presenta,dati Top Word Pairs in Tweet in G4:
[25] more,precise [25] precise,using [25] using,operators [25] here,operators [25] operators,use [23] icijorg,make [21] make,search [21] search,more [21] operators,#icijdatashare [21] #icijdatashare,here Top Word Pairs in Tweet in G5:
[11] haddadme,ajenews [8] ajenews,ajlabs [7] samip_mdif,haddadme [6] winner,#datajournalism [6] using,#datajournalism [5] ajenews,used [5] used,#datajournalism [5] lots,exciting [5] exciting,#datajournalism [5] #datajournalism,stories Top Word Pairs in Tweet in G6:
[4] data,journalism [3] #towardsdatascience,#datajournalism [2] #datajournalism,#dataviz [2] di,#datajournalism [2] first,piece [2] piece,#datajournalism [2] #datajournalism,seven [2] seven,10 [2] 10,largest [2] largest,labour Top Word Pairs in Tweet in G7:
[36] hyperloops,good [36] good,investment [36] investment,data [36] data,driven [36] driven,investor [36] investor,medium [36] medium,pensignal [36] pensignal,#startup [36] #startup,#startups [36] #startups,#hyperloop Top Word Pairs in Tweet in G8:
[17] super,excited [17] excited,share [17] share,interview [17] interview,monachalabi [17] monachalabi,one [17] one,important [17] important,practitioners [17] practitioners,dataviz [17] dataviz,today [16] datavizsociety,super Top Word Pairs in Tweet in G9:
[15] #datajournalism,#truenumbers [5] solo,nel [4] 3,anni [4] milioni,di [3] miliardi,di [3] #corruzione,il [3] il,posto [3] posto,di [3] di,#lavoro [3] #lavoro,è Top Word Pairs in Tweet in G10:
[2] ossia,rogerafcollier [2] rogerafcollier,freecodecamp [2] freecodecamp,mpjme [2] mpjme,techsith1 [2] techsith1,traversymedia [2] traversymedia,codenewbies [2] codenewbies,saronyitbarek [2] saronyitbarek,wesbos [2] wesbos,ottawa_js Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: