The graph represents a network of 4,102 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, 16 March 2020 at 16:49 UTC.
The requested date range was from Monday, 09 March 2020 at 00:00 UTC through Monday, 16 March 2020 at 00:00 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 12-minute period from Monday, 09 March 2020 at 00:41 UTC to Sunday, 15 March 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 : 4102
Unique Edges : 4795
Edges With Duplicates : 898
Total Edges : 5693
Number of Edge Types : 4
MentionsInRetweet : 3931
Mentions : 1201
Replies to : 164
Tweet : 397
Self-Loops : 397
Reciprocated Vertex Pair Ratio : 0.013953488372093
Reciprocated Edge Ratio : 0.0275229357798165
Connected Components : 430
Single-Vertex Connected Components : 159
Maximum Vertices in a Connected Component : 2388
Maximum Edges in a Connected Component : 3470
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.485139
Graph Density : 0.000285097723248578
Modularity : 0.810129
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 4,102 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, 16 March 2020 at 16:49 UTC.
The requested date range was from Monday, 09 March 2020 at 00:00 UTC through Monday, 16 March 2020 at 00:00 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 12-minute period from Monday, 09 March 2020 at 00:41 UTC to Sunday, 15 March 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 : 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:
[916] exponentielles,wachstum [901] weil,mensch [895] kaum,vorstellen [894] mensch,exponentielles [893] vorstellen,unterschätzen [891] wachstum,kaum [882] unterschätzen,gefährlich [873] gefährlich,#corona [840] #corona,darum [601] data,journalism Top Word Pairs in Tweet in G1:
[436] exponentielles,wachstum [435] weil,mensch [435] mensch,exponentielles [435] wachstum,kaum [435] kaum,vorstellen [434] vorstellen,unterschätzen [434] unterschätzen,gefährlich [432] gefährlich,#corona [432] #corona,darum [432] sz,weil Top Word Pairs in Tweet in G2:
[275] weil,mensch [270] exponentielles,wachstum [269] kaum,vorstellen [268] mensch,exponentielles [268] vorstellen,unterschätzen [267] unterschätzen,gefährlich [267] gefährlich,#corona [265] wachstum,kaum [261] #corona,darum [132] darum,# Top Word Pairs in Tweet in G3:
[214] signed,chart [205] #dataviz,#infographics [155] trump,sent [155] sent,followers [155] followers,signed [155] chart,doing [155] doing,same [155] same,mine [155] mine,#dataviz [154] albertocairo,trump Top Word Pairs in Tweet in G4:
[270] dou,em [270] em,#ddj [91] jornalismodados,dou [85] #ddj,jornalismodados [40] jornalismo,dados [36] data,journalism [29] storylab,data [29] journalism,grant [22] inaugural,storylab [18] theinterceptbr,nosso Top Word Pairs in Tweet in G5:
[226] study,data [158] tough,times [158] times,need [158] need,support [158] support,columbiajourn [158] columbiajourn,school [158] school,study [158] data,science [158] science,received [157] socratesmbamalu,tough Top Word Pairs in Tweet in G6:
[73] data,journalism [7] piece,data [7] social,distancing [5] covid,19 [4] journalism,conference [4] taipei,based [4] tnl,media [4] media,group [4] startup,ad2iction [4] #dj,#ddj Top Word Pairs in Tweet in G7:
[98] weil,mensch [98] mensch,exponentielles [98] exponentielles,wachstum [98] wachstum,kaum [98] kaum,vorstellen [98] vorstellen,unterschätzen [98] unterschätzen,gefährlich [98] gefährlich,#corona [98] #corona,darum [95] remrow,weil Top Word Pairs in Tweet in G8:
[36] 10,#ddj [31] top,10 [15] play,data [14] lrainie,pewresearch [13] в,топ [13] топ,10 [13] #ddj,gijn [13] pewresearch,initiative [13] initiative,gives [13] gives,away Top Word Pairs in Tweet in G9:
[66] coronavirus,deutschland [66] deutschland,kam [66] kam,zeigen [66] zeigen,alle [66] alle,bestätigten [66] bestätigten,fälle [66] fälle,stadt [66] stadt,landkreisen [66] landkreisen,zeitverlauf [65] juliustroeger,coronavirus Top Word Pairs in Tweet in G10:
[81] países,europeos [81] europeos,españa [81] españa,incluida [81] incluida,están [81] están,dibujando [81] dibujando,misma [81] misma,curva [81] curva,infectados [81] infectados,#covid19 [81] #covid19,dibujó Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G8:
Top Replied-To in G9:
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: