The graph represents a network of 388 Twitter users whose recent tweets contained "Iodine deficiency", 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, 08 November 2019 at 13:54 UTC.
The tweets in the network were tweeted over the 8-day, 21-hour, 21-minute period from Wednesday, 30 October 2019 at 15:59 UTC to Friday, 08 November 2019 at 13:20 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 : 388
Unique Edges : 655
Edges With Duplicates : 787
Total Edges : 1442
Self-Loops : 105
Reciprocated Vertex Pair Ratio : 0.0240963855421687
Reciprocated Edge Ratio : 0.0470588235294118
Connected Components : 62
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 107
Maximum Edges in a Connected Component : 1143
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.029031
Graph Density : 0.00566077945603239
Modularity : 0.419517
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 388 Twitter users whose recent tweets contained "Iodine deficiency", 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, 08 November 2019 at 13:54 UTC.
The tweets in the network were tweeted over the 8-day, 21-hour, 21-minute period from Wednesday, 30 October 2019 at 15:59 UTC to Friday, 08 November 2019 at 13:20 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 : Iodine deficiency
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:
[614] iodine,deficiency [134] iodized,salt [109] caused,iodine [107] consume,iodized [107] salt,daily [107] daily,food [107] food,prevent [107] prevent,diseases [107] diseases,caused [107] deficiency,complications Top Word Pairs in Tweet in G1:
[107] consume,iodized [107] iodized,salt [107] salt,daily [107] daily,food [107] food,prevent [107] prevent,diseases [107] diseases,caused [107] caused,iodine [107] iodine,deficiency [107] deficiency,complications Top Word Pairs in Tweet in G2:
[376] iodine,deficiency [103] deficiency,disorders [78] unicefkenya,unicef [77] moh_kenya,iodineglobal [74] iodineglobal,unicefkenya [74] nutritionintl,gainalliance [73] unicef,nutritionintl [53] gainalliance,fao [51] prevention,control [48] control,iodine Top Word Pairs in Tweet in G3:
[39] until,now [39] now,researchers [39] researchers,demonstrated [39] demonstrated,regular [39] regular,intake [39] intake,okra [39] okra,soup [39] soup,provide [39] provide,novel [39] novel,cure Top Word Pairs in Tweet in G4:
[26] iodine,deficiency [4] salt,intake [3] iodized,salt [3] deficiency,cause [3] severe,iodine [2] enlarged,thyroid [2] caused,iodine [2] deficiency,disorders [2] salt,member [2] member,states Top Word Pairs in Tweet in G6:
[9] iodine,deficiency [3] 99,population [3] moderate,iodine [3] deficiency,lower [3] lower,iq [3] iq,15 [3] 15,points [2] carmindabrendel,ignitehealing [2] ignitehealing,old [2] old,remedy Top Word Pairs in Tweet in G7:
[2] iodine,deficiency [2] deficiency,one [2] one,main [2] main,cause [2] cause,impaired [2] impaired,cognitive [2] cognitive,development [2] development,children [2] children,#worldiodinedeficiencyday [2] #worldiodinedeficiencyday,arogyatelangana Top Word Pairs in Tweet in G9:
[2] irishcountrymag,dieteticspeak [2] dieteticspeak,great [2] great,article [2] article,#iodine [2] #iodine,iodine [2] iodine,deficiency [2] deficiency,worlds [2] worlds,prevalent [2] prevalent,easily [2] easily,preventable Top Word Pairs in Tweet in G10:
[10] iodine,deficiency [4] deficiency,know [3] hundreds,millions [3] millions,people [3] people,still [3] still,suffering [3] suffering,consequences [3] consequences,iodine [3] deficiency,already [3] already,cheap Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
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: