The graph represents a network of 8,618 Twitter users whose recent tweets contained "#SAGAwards", 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 Wednesday, 11 December 2019 at 19:11 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 12-minute period from Monday, 02 December 2019 at 18:24 UTC to Wednesday, 11 December 2019 at 17:36 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 : 8618
Unique Edges : 23664
Edges With Duplicates : 10479
Total Edges : 34143
Self-Loops : 2266
Reciprocated Vertex Pair Ratio : 0.00120164353825878
Reciprocated Edge Ratio : 0.00240040264818615
Connected Components : 708
Single-Vertex Connected Components : 591
Maximum Vertices in a Connected Component : 7663
Maximum Edges in a Connected Component : 32823
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.435877
Graph Density : 0.000347812358699967
Modularity : 0.407226
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 8,618 Twitter users whose recent tweets contained "#SAGAwards", 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 Wednesday, 11 December 2019 at 19:11 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 12-minute period from Monday, 02 December 2019 at 18:24 UTC to Wednesday, 11 December 2019 at 17:36 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 : #SAGAwards
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:
[4314] drama,series [3833] female,actor [3692] male,actor [3344] outstanding,performance [2473] leading,role [2465] actor,leading [2360] actor,drama [1727] year's,#sagawards [1691] performance,female [1626] comedy,series Top Word Pairs in Tweet in G1:
[1974] female,actor [1332] male,actor [1159] leading,role [1157] actor,leading [1124] drama,series [1052] nominees,male [1025] nominations,outstanding [936] year,s [887] motion,picture [884] outstanding,performance Top Word Pairs in Tweet in G2:
[718] male,actor [695] leading,role [694] actor,leading [635] drama,series [610] female,actor [553] outstanding,performance [532] actor,drama [518] taronegerton,#sagawards [422] nominees,male [392] once,upon Top Word Pairs in Tweet in G3:
[1678] drama,series [1590] year's,#sagawards [1335] oustanding,performance [961] congratulations,cast [961] cast,#gameofthrones [961] series,nomination [961] nomination,year's [764] ensemble,drama [710] performance,ensemble [706] dracarys,congratulations Top Word Pairs in Tweet in G4:
[770] #sagawards,nominees [663] outstanding,performance [548] nominees,outstanding [429] #sagawards,nominations [403] female,actor [368] male,actor [297] scarlett,johansson [284] drama,series [283] leonardo,dicaprio [279] performance,male Top Word Pairs in Tweet in G5:
[45] #sagawards,nominations [32] outstanding,performance [31] marriage,story [29] once,upon [29] upon,time [27] time,hollywood [25] sag,awards [25] taron,egerton [21] jojo,rabbit [21] little,women Top Word Pairs in Tweet in G6:
[622] comedy,series [554] outstanding,performance [395] actor,comedy [274] nomination,outstanding [271] female,actor [253] nominated,outstanding [249] series,category [245] performance,female [225] ensemble,comedy [183] male,actor Top Word Pairs in Tweet in G7:
[732] nominated,best [459] drama,series [372] series,#sagawards [346] best,male [269] actor,drama [244] best,ensemble [229] limited,series [203] jharrel,jerome [197] #whentheyseeus,star [197] star,jharrel Top Word Pairs in Tweet in G8:
[273] leading,role [270] actor,leading [242] female,actor [234] motion,picture [200] outstanding,performance [199] male,actor [183] nominee,outstanding [181] official,nominee [181] role,#sagawards [174] role,motion Top Word Pairs in Tweet in G9:
[144] melhor,ator [142] melhor,atriz [107] sag,awards [80] ator,em [77] em,minissérie [75] jharrel,jerome [70] lupita,nyong [70] em,série [69] em,melhor [68] melhor,elenco Top Word Pairs in Tweet in G10:
[137] เข,าช [137] มน,กแสดงยอดเย [106] าช,งรางว [77] อผ,เข [77] once,upon [77] upon,time [77] time,hollywood [77] jojo,rabbit [60] #parasite,น [60] น,ไม Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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 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: