The graph represents a network of 1,791 Twitter users whose recent tweets contained "#ow2019 OR #obesityweek2019 OR #asmbs2019 OR #tos_ow2019 until:2019-11-7", 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 Thursday, 07 November 2019 at 14:37 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 58-minute period from Tuesday, 29 October 2019 at 14:00 UTC to Wednesday, 06 November 2019 at 23:59 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 : 1791
Unique Edges : 5975
Edges With Duplicates : 8920
Total Edges : 14895
Self-Loops : 807
Reciprocated Vertex Pair Ratio : 0.078579418344519
Reciprocated Edge Ratio : 0.14570910033705
Connected Components : 77
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 1662
Maximum Edges in a Connected Component : 14741
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.252824
Graph Density : 0.00240619609531207
Modularity : 0.27422
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,791 Twitter users whose recent tweets contained "#ow2019 OR #obesityweek2019 OR #ow2019 OR #asmbs2019 OR #obesityweek2019 OR #tos_ow2019 until:2019-11-7", 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 Thursday, 07 November 2019 at 14:37 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 58-minute period from Tuesday, 29 October 2019 at 14:00 UTC to Wednesday, 06 November 2019 at 23:59 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 : #ow2019 OR #obesityweek2019 OR #ow2019 OR #asmbs2019 OR #obesityweek2019 OR #tos_ow2019 until:2019-11-7
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:
[980] #ow2019,#asmbs2019 [482] #asmbs2019,#ow2019 [366] bariatric,surgery [345] weight,loss [256] #ow2019,#obesityweek2019 [219] asmbs,asmbsih [205] #ow2019,asmbs [185] understand,nutrition [185] nutrition,fucked [185] fucked,need Top Word Pairs in Tweet in G1:
[84] #ow2019,#asmbs2019 [47] weight,loss [42] #ow2019,obesitysociety [42] weight,bias [42] asmbs,obesitysociety [36] looking,forward [36] obesitysociety,asmbs [36] obesityweek,#ow2019 [35] obesityweek,asmbs [34] mandalay,bay Top Word Pairs in Tweet in G2:
[513] #ow2019,#asmbs2019 [192] #asmbs2019,#ow2019 [153] bariatric,surgery [151] asmbs,asmbsih [97] asmbs,#ow2019 [95] weight,regain [91] weight,loss [81] #ow2019,asmbs [75] obesityweek,#ow2019 [73] asmbs,obesityweek Top Word Pairs in Tweet in G3:
[210] #ow2019,#obesityweek2019 [181] understand,nutrition [181] nutrition,fucked [181] fucked,need [181] need,understand [181] understand,money [181] money,came [181] came,went [181] went,universities [181] universities,bought Top Word Pairs in Tweet in G4:
[298] #ow2019,#asmbs2019 [232] #asmbs2019,#ow2019 [98] bariatric,surgery [97] weight,loss [95] #ow2019,asmbs [64] asmbs,#obesity [64] bruce_y_lee,time [64] time,cnnbrk [64] cnnbrk,ap [64] ap,cbs Top Word Pairs in Tweet in G5:
[76] weight,loss [74] #ow2019,#asmbs2019 [74] #ow2019,#obsmuk [32] physical,activity [30] long,term [30] bariatric,surgery [28] #asmbs2019,#ow2019 [23] #obesity,#ow2019 [20] adherence,key [20] week,#ow2019 Top Word Pairs in Tweet in G6:
[58] bariatric,surgery [38] obesity,#ow2019 [35] new,study [30] study,finds [30] metabolic,surgery [27] finds,40 [27] 40,reductions [27] reductions,major [27] major,cardiovascular [27] cardiovascular,events Top Word Pairs in Tweet in G7:
[4] obesity,week [3] don,t [3] learn,more [2] annual,meeting [2] obesityweek,2019 [2] #asmbs2019,#obesityweek2019 [2] t,miss [2] vegas,nevada [2] #ow2019,#asmbs2019 [2] check,out Top Word Pairs in Tweet in G8:
[6] obesityweek,#ow2019 [5] #time4troa,obesityweek [2] care,#time4troa [2] supporting,#troa Top Word Pairs in Tweet in G9:
[12] #obesityweek2019,novonordisk [6] obesidad,debe [3] early,career [3] dr,stuart [3] stuart,flint [3] flint,debemos [3] debemos,dejar [3] dejar,obesidad [3] obesidad,estigmas [3] estigmas,discriminacion Top Word Pairs in Tweet in G10:
[9] nov,3 [9] 3,7 [7] know,losing [7] losing,weight [7] weight,body [7] body,tries [7] tries,put [7] put,back [7] back,obesityweek [7] obesityweek,science 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 G5:
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: