The graph represents a network of 2,766 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2020-08-31 until:2020-09-07", 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, 07 September 2020 at 08:04 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 25-minute period from Monday, 31 August 2020 at 00:28 UTC to Sunday, 06 September 2020 at 23:54 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 : 2766
Unique Edges : 3631
Edges With Duplicates : 857
Total Edges : 4488
Number of Edge Types : 5
Replies to : 313
Mentions : 1320
Retweet : 1491
MentionsInRetweet : 1107
Tweet : 257
Self-Loops : 267
Reciprocated Vertex Pair Ratio : 0.021175814990248
Reciprocated Edge Ratio : 0.0414733969986357
Connected Components : 401
Single-Vertex Connected Components : 116
Maximum Vertices in a Connected Component : 664
Maximum Edges in a Connected Component : 1711
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.395838
Graph Density : 0.000479210877629286
Modularity : 0.773797
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,766 Twitter users whose recent tweets contained "#ddj OR (data journalism) since:2020-08-31 until:2020-09-07", 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, 07 September 2020 at 08:04 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 25-minute period from Monday, 31 August 2020 at 00:28 UTC to Sunday, 06 September 2020 at 23:54 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) since:2020-08-31 until:2020-09-07
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:
[660] journalism,today [648] data,dump [647] work,data [647] right,data [646] stand,journalism [646] today,statement [646] statement,gen [646] gen,asim [646] asim,saleem [646] saleem,bajwa Top Word Pairs in Tweet in G1:
[645] stand,journalism [645] journalism,today [645] today,statement [645] statement,gen [645] gen,asim [645] asim,saleem [645] saleem,bajwa [645] bajwa,proves [645] proves,single [645] single,point Top Word Pairs in Tweet in G2:
[494] dou,em [494] em,#ddj [201] jornalismodados,dou [193] #ddj,jornalismodados [138] jornalismo,dados [40] série,visualização [40] visualização,dados [40] dados,sotaque [33] sotaque,brasileiro [28] continuamos,série Top Word Pairs in Tweet in G3:
[52] 10,#ddj [40] top,10 [30] euronaturorg,mschickhofer [30] edjnet,#saveparadiseforests [28] mschickhofer,edjnet [26] топ,10 [25] в,топ [22] #ddj,edjnet [21] partner,daswasfehlt [20] рус,co Top Word Pairs in Tweet in G4:
[34] data,journalism [7] investigative,journalism [4] data,analysis [4] six,tips [4] tips,investigative [4] investigative,journalists [4] journalists,find [4] find,data [4] data,sources [3] journalism,data Top Word Pairs in Tweet in G5:
[98] shame,hear [98] hear,bbc [98] bbc,cracking [98] cracking,down [98] down,left [98] left,leaning [98] leaning,comedy [98] comedy,recent [98] recent,bbcthree [98] bbcthree,series Top Word Pairs in Tweet in G6:
[22] #dataharvest2020,#eijc20 [21] 13,weeks [16] reutersgraphics,fascinating [16] fascinating,#datajournalism [16] #datajournalism,#dataviz [16] #dataviz,piece [16] piece,estimates [16] estimates,yield [16] yield,beirut's [16] beirut's,port Top Word Pairs in Tweet in G7:
[15] data,journalism [5] marked,calendar [5] calendar,year [5] year,#nisonline2020 [5] #nisonline2020,conferences [5] conferences,take [5] take,place [5] place,online [5] online,available [5] available,wherever Top Word Pairs in Tweet in G8:
[41] david_speers,pressure [41] pressure,building [41] building,anywhere [41] anywhere,dan [41] dan,andrews [41] andrews,plain [41] plain,beginning [41] beginning,data [41] data,form [41] form,decisions Top Word Pairs in Tweet in G9:
[10] science,journalism [10] data,science [9] data,journalism [8] #esof2020,mep [8] mep,evakaili [8] evakaili,ep_sciencetech [8] ep_sciencetech,uses [8] uses,experience [8] experience,journalist [8] journalist,emphasize Top Word Pairs in Tweet in G10:
[37] weaponizednews,july [37] july,28th [37] 28th,little [37] little,over [37] over,000 [37] 000,covid [37] covid,19 [37] 19,deaths [37] deaths,hospice [37] hospice,care Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
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 G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: