The graph represents a network of 9,056 Twitter users whose recent tweets contained "#DoctorWho", 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 Friday, 07 August 2020 at 17:50 UTC.
The tweets in the network were tweeted over the 5-day, 17-hour, 27-minute period from Saturday, 01 August 2020 at 23:48 UTC to Friday, 07 August 2020 at 17:16 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 : 9056
Unique Edges : 13052
Edges With Duplicates : 8828
Total Edges : 21880
Number of Edge Types : 5
Retweet : 13072
MentionsInRetweet : 2228
Mentions : 1646
Tweet : 4357
Replies to : 577
Self-Loops : 4574
Reciprocated Vertex Pair Ratio : 0.0189376791911876
Reciprocated Edge Ratio : 0.0371714179933358
Connected Components : 1009
Single-Vertex Connected Components : 749
Maximum Vertices in a Connected Component : 7492
Maximum Edges in a Connected Component : 19868
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.79766
Graph Density : 0.000164690944424824
Modularity : 0.480239
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,056 Twitter users whose recent tweets contained "#DoctorWho", 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 Friday, 07 August 2020 at 17:50 UTC.
The tweets in the network were tweeted over the 5-day, 17-hour, 27-minute period from Saturday, 01 August 2020 at 23:48 UTC to Friday, 07 August 2020 at 17:16 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 : #DoctorWho
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:
[1649] doctor,#doctorwho [1488] peter,capaldi [1366] years,ago [1312] capaldi,announced [1256] ago,today [1256] twelfth,doctor [1221] today,peter [1200] seven,years [1181] announced,twelfth [1105] lesser,known Top Word Pairs in Tweet in G1:
[627] doctor,#doctorwho [619] peter,capaldi [592] years,ago [584] ago,today [578] capaldi,announced [577] twelfth,doctor [575] today,peter [575] announced,twelfth [574] seven,years [443] doctor,year Top Word Pairs in Tweet in G2:
[509] #doctorwho,#ascensionofthecybermen [469] #doctorwhorankings,#doctorwho [469] head,heads [469] best,vote [469] vote,retweet [245] #doctorwho,penultimate [245] heads,third [245] third,iteration [225] #doctorwho,11 [224] doctor,#doctorwho Top Word Pairs in Tweet in G3:
[966] lesser,known [961] one,lesser [961] known,impressive [961] impressive,talents [961] talents,highly [961] highly,respected [961] respected,fine [961] fine,art [961] art,critic [961] critic,#doctorwho Top Word Pairs in Tweet in G4:
[370] doctor,#doctorwho [362] peter,capaldi [356] twelfth,doctor [355] years,ago [354] capaldi,announced [354] announced,twelfth [352] seven,years [351] ago,today [351] today,peter [349] year,#doctorwho Top Word Pairs in Tweet in G5:
[50] #doctorwho,#tvtime [46] doctor,2005 [43] doctor,#doctorwho [41] 2005,#doctorwho [28] hello,doctor [28] watched,episode [22] random,doctor [15] acabei,assistir [14] #doctorwho,#drwho [14] doctor,story Top Word Pairs in Tweet in G6:
[260] travels,space [260] space,time [260] time,#doctorwho [43] #doctorwho,#fanart [33] #doctorwho,#doctorwhofanart [32] #thasmin,#doctorwho [30] thirteenth,doctor [30] doctor,13 [29] whole,group [29] group,friends Top Word Pairs in Tweet in G7:
[100] #doctorwho,#twelfthdoctor [90] doctor,fans [87] doctor,magazine [86] peter,capaldi [86] calling,artistic [86] artistic,doctor [86] fans,love [86] love,feature [86] feature,artwork [86] artwork,doctor Top Word Pairs in Tweet in G8:
[42] нежное,его [42] его,бешеная [42] бешеная,беззащитное [42] беззащитное,и [42] и,ранимое [42] ранимое,существо [42] существо,#doctorwho [34] #докторкто,#doctorwho [24] time,#doctorwho [23] travels,space Top Word Pairs in Tweet in G9:
[174] david,tennant [90] credited,doctor [76] doctor,#doctorwho [67] matt,smith [63] #doctorwho,episode [60] voyage,damned [60] time,lord [58] lord,victorious [57] started,signing [57] paul,mcgann Top Word Pairs in Tweet in G10:
[68] #doctorwho,#drwho [63] frightened,fortune [63] fortune,teller [63] teller,today [63] today,aug [63] aug,#doctorwho [62] sarah,jane [62] episode,#doctorwho [61] jane,smith [60] smith,packet Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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:
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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:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: