The graph represents a network of 4,947 Twitter users whose recent tweets contained "Iodine", 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 14:19 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 1-minute period from Wednesday, 30 October 2019 at 11:36 UTC to Friday, 08 November 2019 at 13:38 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 : 4947
Unique Edges : 5900
Edges With Duplicates : 5056
Total Edges : 10956
Self-Loops : 2371
Reciprocated Vertex Pair Ratio : 0.0415080659778865
Reciprocated Edge Ratio : 0.079707622694048
Connected Components : 1153
Single-Vertex Connected Components : 530
Maximum Vertices in a Connected Component : 383
Maximum Edges in a Connected Component : 2413
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.543226
Graph Density : 0.000234838663059322
Modularity : 0.543624
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,947 Twitter users whose recent tweets contained "Iodine", 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 14:19 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 1-minute period from Wednesday, 30 October 2019 at 11:36 UTC to Friday, 08 November 2019 at 13:38 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
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 [356] iodine,nebraska [356] nebraska,everything [356] everything,economy [356] economy,dolphin [356] dolphin,secret [356] secret,elastin [356] elastin,xylophone [173] iodized,salt [151] iodine,act Top Word Pairs in Tweet in G1:
[41] potassium,iodine [35] iodine,tantalum [32] iodine,supplement [30] sulfur,hydrogen [30] nascent,iodine [30] #pregnancy,role [30] role,food [30] food,sources [30] sources,discover [28] hydrogen,potassium Top Word Pairs in Tweet in G2:
[356] iodine,nebraska [356] nebraska,everything [356] everything,economy [356] economy,dolphin [356] dolphin,secret [356] secret,elastin [356] elastin,xylophone [3] south,help [3] help,out [3] out,uplift Top Word Pairs in Tweet in G3:
[21] ㅋ,ㅋ [13] 수,있는 [12] lt,lt [10] 볼,수 [7] 할,수 [7] gangguin_nim,iodine_h53 [6] 수,있음 [6] 그럴,수 [6] 팬들도,걔가 [6] 내,신부는 Top Word Pairs in Tweet in G4:
[51] flipblue2020,tiuanna [51] tiuanna,senschumer [28] denise57610742,flipblue2020 [23] mr_iodine,flipblue2020 [21] mr_iodine,docrocktex26 [15] derkonigmartin,malcolmnance [14] alexcruik,heyirish [14] bethanyyosemite,maire52 [13] mattliveblogs,thitchner [13] thitchner,magi_jay Top Word Pairs in Tweet in G5:
[151] iodine,act [151] act,nice [151] nice,many [151] many,elephants [151] elephants,everything [151] everything,sits [151] sits,soap [8] iodide,john [8] john,sock [8] sock,first Top Word Pairs in Tweet in G6:
[391] iodine,deficiency [146] nutritionintl,gainalliance [145] moh_kenya,iodineglobal [141] iodineglobal,unicefkenya [139] unicefkenya,unicef [134] unicef,nutritionintl [123] gainalliance,fao [103] deficiency,disorders [78] thyroid,hormones [57] iodized,salt Top Word Pairs in Tweet in G7:
[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 G8:
[14] lugol's,iodine [9] iodine,deficiency [7] high,doses [7] 4,drops [7] iodine,glass [6] doses,lugol's [5] iodine,selenium [5] taking,4 [5] glass,water [5] water,reverses Top Word Pairs in Tweet in G9:
[6] iodine_starch,evanstorno [6] evanstorno,iodine_starch [5] shun_gochiusa,evanstorno [4] shun_gochiusa,iodine_starch [3] black,parade [3] evanstorno,shun_gochiusa [3] iodine_starch,koihimeman [2] redspiderlily03,evanstorno [2] #nowplaying,chemical [2] chemical,romance Top Word Pairs in Tweet in G10:
[5] meta,knight [5] iodine_bh,bulbaganda [4] don,t [3] see,go [3] m,e [3] iodine_bh,perfectlycutmc [2] チェック,セット [2] セット,オープンはカイジ [2] オープンはカイジ,常識 [2] 年に1回くらいのペースで訪れる,唐突に千歳飴が食いたくなる現象が起きるのは俺だけ Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
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: