The graph represents a network of 2,248 Twitter users whose recent tweets contained "#TEDWomen", 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 Saturday, 07 December 2019 at 20:26 UTC.
The tweets in the network were tweeted over the 8-day, 13-hour, 58-minute period from Friday, 29 November 2019 at 06:12 UTC to Saturday, 07 December 2019 at 20:10 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 : 2248
Unique Edges : 4597
Edges With Duplicates : 1251
Total Edges : 5848
Self-Loops : 280
Reciprocated Vertex Pair Ratio : 0.0200794812800669
Reciprocated Edge Ratio : 0.0393684642198073
Connected Components : 79
Single-Vertex Connected Components : 53
Maximum Vertices in a Connected Component : 2085
Maximum Edges in a Connected Component : 5615
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.036982
Graph Density : 0.000965502441372997
Modularity : 0.544469
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,248 Twitter users whose recent tweets contained "#TEDWomen", 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 Saturday, 07 December 2019 at 20:26 UTC.
The tweets in the network were tweeted over the 8-day, 13-hour, 58-minute period from Friday, 29 November 2019 at 06:12 UTC to Saturday, 07 December 2019 at 20:10 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 : #TEDWomen
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:
[760] around,world [750] hong,kong [749] #tedwomen,stage [744] tedwomen,#standwithhk [744] #standwithhk,#ted [743] being,#tedwomen [743] stage,memorable [743] memorable,experience [743] experience,honour [743] honour,share Top Word Pairs in Tweet in G1:
[748] hong,kong [743] tedwomen,#standwithhk [743] #standwithhk,#ted [742] being,#tedwomen [742] #tedwomen,stage [742] stage,memorable [742] memorable,experience [742] experience,honour [742] honour,share [742] share,hong Top Word Pairs in Tweet in G2:
[125] climate,change [123] #tedwomen,s [123] bold,action [117] actress,activist [117] activist,janefonda [117] janefonda,spoke [117] spoke,#tedwomen [117] s,taking [117] taking,bold [117] action,fight Top Word Pairs in Tweet in G3:
[69] #tedwomen,tedtalks [67] #tedwomen2019,#tedwomen [59] jenzhuscott,#tedwomen2019 [52] google,facebook [52] facebook,tencent's [52] tencent's,combined [52] combined,revenue [52] revenue,2018 [52] 2018,236 [52] 236,billion Top Word Pairs in Tweet in G4:
[123] shouldn,t [123] t,act [123] act,feminism [84] body,works [43] feminism,know [43] know,body [41] drjengunter,#tedwomen [41] brought,down [41] down,house [39] exactly,body Top Word Pairs in Tweet in G5:
[50] climate,change [49] horrible,symptom [49] symptom,economic [49] economic,system [49] extracts,value [49] cpichonbattle,gcclp [49] gcclp,#tedwomen [48] change,problem [48] problem,horrible [48] system,extracts Top Word Pairs in Tweet in G6:
[14] #ted,#tedwomen [7] greetings,#tedwomen [7] #tedwomen,#tedx [7] #tedx,#tedxwomenabbs [7] #tedxwomenabbs,#tedxabbs [7] #tedxabbs,#abbs [7] #abbs,#acharyabangalorebschool [7] #acharyabangalorebschool,#boldbrilliant [6] tedxabbswomen,2019 [5] booking,tickets Top Word Pairs in Tweet in G7:
[46] #tedwomen,#womenwill [44] know,sounds [44] sounds,stupid [44] stupid,maybe [44] maybe,m [44] m,being [44] being,emotional [44] emotional,think [44] think,gratitude [44] gratitude,overwhelmed Top Word Pairs in Tweet in G8:
[44] love,love [22] shouldn,t [22] t,act [22] act,feminism [22] feminism,know [22] know,body [22] body,works [22] works,love [22] love,#tedwomen [22] #tedwomen,jen Top Word Pairs in Tweet in G9:
[39] #tedwomen,#pklibraries [37] #tedxlahorewomen,#tedxlahore [37] #tedxlahore,#tedwomen [24] #pklibraries,pkbritish [9] fourth,speaker [9] speaker,tedxlahorewomen [9] tedxlahorewomen,happening [9] happening,8th [9] 8th,december [9] december,2019 Top Word Pairs in Tweet in G10:
[43] #tedwomen,#bold [43] #bold,#brilliant [43] #brilliant,#tedxcewomen [9] rwanda,élevé [9] élevé,femmes [9] femmes,au [9] au,parlement [9] parlement,61 [9] 61,programme [9] programme,vaccination Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
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: