The graph represents a network of 283 Twitter users whose tweets in the requested range contained "childhoodobesity", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 15 August 2019 at 18:08 UTC.
The requested start date was Wednesday, 14 August 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 8-hour, 51-minute period from Wednesday, 31 July 2019 at 15:00 UTC to Tuesday, 13 August 2019 at 23:51 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 : 283
Unique Edges : 321
Edges With Duplicates : 104
Total Edges : 425
Number of Edge Types : 3
Mentions : 315
Tweet : 101
Replies to : 9
Self-Loops : 101
Reciprocated Vertex Pair Ratio : 0.0912408759124088
Reciprocated Edge Ratio : 0.167224080267559
Connected Components : 66
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 120
Maximum Edges in a Connected Component : 205
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.821502
Graph Density : 0.00374658546976418
Modularity : 0.645351
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[43] reduce,#childhoodobesity [32] we've,written [32] written,prime [32] prime,minister [32] minister,ministers [32] ministers,calling [32] calling,ongoing [32] ongoing,commitment [32] commitment,reduce [31] oha_updates,we've Top Word Pairs in Tweet in G1:
[32] we've,written [32] written,prime [32] prime,minister [32] minister,ministers [32] ministers,calling [32] calling,ongoing [32] ongoing,commitment [32] commitment,reduce [32] reduce,#childhoodobesity [31] oha_updates,we've Top Word Pairs in Tweet in G2:
[7] fidelity,acceptability [7] acceptability,family [7] family,focused [7] focused,technology [7] technology,based [7] based,telehealth [7] telehealth,nutrition [7] nutrition,intervention [7] intervention,child [7] child,weight Top Word Pairs in Tweet in G3:
[4] articles,comes [4] comes,health [4] health,zip [4] zip,code [4] code,matters [4] matters,more [4] more,know [4] know,growing [4] growing,poverty [4] poverty,obesity Top Word Pairs in Tweet in G4:
[5] 2,3 [5] 3,adults [5] adults,1 [5] 1,3 [5] 3,children [5] children,uk [5] uk,overweight [5] overweight,obese [5] obese,future [5] future,regulation Top Word Pairs in Tweet in G5:
[10] prof,dr [10] dr,pedroe_alcaraz [10] pedroe_alcaraz,ucam [10] ucam,tells [10] tells,alarming [10] alarming,problem [10] problem,obesity [10] obesity,spain [10] spain,one [10] one,countries Top Word Pairs in Tweet in G6:
[10] hi,super [10] super,#moms [10] #moms,follow [10] #healthykids,#childhoodobesity [10] #childhoodobesity,#exercise [9] follow,#randirobics [9] #exercise,#family [8] #family,#education [7] randirobics,hi [7] #randirobics,#healthykids Top Word Pairs in Tweet in G7:
[10] learning,collaborative [9] request,proposals [8] released,request [7] collaborative,partnership [6] choicesproject,harvardprc [5] proposals,today [5] today,new [5] new,learning [5] state,local [5] local,health Top Word Pairs in Tweet in G9:
[3] nice,venue [3] venue,symposium [3] symposium,systems [3] systems,science [3] science,community [3] community,based [3] based,change [3] change,#childhoodobesity [3] #childhoodobesity,representing [3] representing,globe_obesity Top Word Pairs in Tweet in G10:
[4] advertisers,warn [4] warn,new [4] new,pm [4] pm,scrap [4] scrap,#junkfoodadban [4] #junkfoodadban,concerns [4] concerns,â [4] â,œsevere [4] œsevere,impactsâ [4] impactsâ,media Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: