The graph represents a network of 5,601 Twitter users whose recent tweets contained "#sleep", 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, 27 January 2023 at 18:15 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 4-minute period from Tuesday, 17 January 2023 at 17:27 UTC to Friday, 27 January 2023 at 17:31 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 : 5601
Unique Edges : 6367
Edges With Duplicates : 3678
Total Edges : 10045
Number of Edge Types : 5
Tweet : 3878
Retweet : 2806
Mentions : 1349
MentionsInRetweet : 1834
Replies to : 178
Self-Loops : 4038
Reciprocated Vertex Pair Ratio : 0.0438903770863383
Reciprocated Edge Ratio : 0.0840900118436636
Connected Components : 2356
Single-Vertex Connected Components : 1697
Maximum Vertices in a Connected Component : 1247
Maximum Edges in a Connected Component : 3481
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.632407
Graph Density : 0.000161514525467391
Modularity : 0.580001
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,601 Twitter users whose recent tweets contained "#sleep", 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, 27 January 2023 at 18:15 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 4-minute period from Tuesday, 17 January 2023 at 17:27 UTC to Friday, 27 January 2023 at 17:31 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 : #sleep
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[555] in,the [287] of,#sleep [281] sleep,is [249] to,help [245] help,you [238] of,the [223] to,sleep [219] if,you [206] of,sleep [197] a,good Top Word Pairs in Tweet in G1:
[94] in,the [94] of,the [92] if,you [89] sleep,is [87] of,sleep [85] to,sleep [84] #sleep,#sleeping [83] when,you [82] sleep,and [81] help,you Top Word Pairs in Tweet in G2:
[92] in,the [41] #meditationmusic,#calmmusic [41] #musicforsleep,#sleep [41] #spa,#healing [41] #sleep,#spa [41] #relaxingmusic,#musicforsleep [41] #spamusic,#meditationmusic [41] #sleep,and [41] #calmmusic,#relaxingmusic [39] to,the Top Word Pairs in Tweet in G3:
[152] บ,ร [152] ร,างกายเร [152] แล,วจ [152] ถ,าใครเคยเจออาการแบบน [152] เราเป,นอะไรก [152] ๆ,ก [152] างกายเร,มผ [152] อนคลาย,แล [152] มผ,อนคลาย [152] น,เอ Top Word Pairs in Tweet in G4:
[142] via,youtube [52] to,sleep [39] heavy,rain [35] #relaxingmusic,#sleep [34] #sleep,#sleepmusic [34] rain,sounds [31] #calmingmusic,#softmusic [31] #sleepmusic,#sleeping [31] #calm,#soothingsounds [31] #music,#sleepless Top Word Pairs in Tweet in G5:
[63] estimated,23 [63] women,and [63] incidence,of [63] men,aged [63] and,50 [63] common,sleep [63] of,women [63] with,higher [63] habit,of [63] #salt,to Top Word Pairs in Tweet in G6:
[50] good,night [49] sweet,dreams [40] of,#sleep [39] lack,of [34] vessels,#harvardhealth [34] a,lack [34] how,does [34] one,theory [34] contribute,to [34] focuses,blood Top Word Pairs in Tweet in G7:
[100] in,the [97] giveaway,#giveaways [97] an,emma [97] #sleep,#sleepfoundation [97] #mattress,giveaway [97] to,win [97] sleepisthefound,for [97] i'm,in [97] the,running [97] #giveaways,#sleep Top Word Pairs in Tweet in G8:
[112] sleep,is [57] quality,of [56] the,quality [35] of,#sleep [33] in,the [32] to,the [32] of,your [29] of,our [29] #sleep,is [28] healing,sleep Top Word Pairs in Tweet in G9:
[41] store,only [41] usa,store [33] the,risk [32] resource,offering [32] re,tweet [32] risk,of [32] disease,and [32] reducing,the [32] #sleep,disturbances [32] disturbances,among Top Word Pairs in Tweet in G10:
[35] #cats,#virginia [35] #pets,#adoptdontshop [24] asleep,his [24] samson,climbed [24] #cats,#cats [24] #positivevibes,#positiveenergy [24] #sweetdreams,#animals [24] him,and [24] #kitten,#kittens [24] his,feet Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 G4:
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: