The graph represents a network of 3,829 Twitter users whose tweets in the requested range contained "sdoh", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 09 August 2020 at 05:25 UTC.
The requested start date was Sunday, 09 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 34-minute period from Sunday, 26 July 2020 at 00:23 UTC to Saturday, 08 August 2020 at 23:58 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 : 3829
Unique Edges : 2908
Edges With Duplicates : 7437
Total Edges : 10345
Number of Edge Types : 5
Retweet : 2642
MentionsInRetweet : 3460
Tweet : 1590
Mentions : 1750
Replies to : 903
Self-Loops : 1606
Reciprocated Vertex Pair Ratio : 0.0465168539325843
Reciprocated Edge Ratio : 0.0888984324672536
Connected Components : 441
Single-Vertex Connected Components : 188
Maximum Vertices in a Connected Component : 1580
Maximum Edges in a Connected Component : 4028
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.607215
Graph Density : 0.000317723210618628
Modularity : 0.453825
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,829 Twitter users whose tweets in the requested range contained "sdoh", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 09 August 2020 at 05:25 UTC.
The requested start date was Sunday, 09 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 34-minute period from Sunday, 26 July 2020 at 00:23 UTC to Saturday, 08 August 2020 at 23:58 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 : GraphServerTwitterSearch
Graph Term : sdoh
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[203] grand,jury [201] federal,grand [192] social,determinants [190] determinants,health [187] covid,19 [178] racketeering,conspiracy [173] conspiracy,involving [168] federal,racketeering [164] speaker,house [163] ohio,speaker Top Word Pairs in Tweet in G1:
[52] ðµñ,ñœ [47] ðµð,ðµð [44] ðµñ,ðµð [40] ðžð,ðžð [39] ðµ,ðµð [37] ðµð,ðµñ [37] ðµñ,ðµñ [32] ðµñ,ðºð [31] ðºð,ðº [31] ðµ,ðµ Top Word Pairs in Tweet in G2:
[68] 15,minutes [67] building,better [67] better,city [67] city,takes [67] takes,15 [67] minutes,core [67] core,idea [67] idea,simple [67] simple,everyone [67] everyone,meet Top Word Pairs in Tweet in G3:
[39] #pdoh,#sdoh [28] health,care [24] social,determinants [22] one,third [19] third,renters [18] estimated,27 [18] 27,adults [18] adults,missed [18] missed,rent [18] rent,mortgage Top Word Pairs in Tweet in G4:
[23] social,determinants [22] determinants,health [11] health,#sdoh [8] health,sdoh [8] usao,sdoh [8] sdoh,department [8] department,justice [8] reading,hospital [8] hospital,extracts [8] extracts,powerful Top Word Pairs in Tweet in G5:
[162] federal,grand [162] grand,jury [162] jury,indicted [162] indicted,ohio [162] ohio,speaker [162] speaker,house [162] house,federal [162] federal,racketeering [162] racketeering,conspiracy [162] conspiracy,involving Top Word Pairs in Tweet in G6:
[28] #hpjc,#medtwitter [21] #housing,#homelessness [20] weâ,ll [19] 9pm,weâ [18] #medtwitter,#meded [17] tonight,9pm [15] ll,discussing [15] discussing,two [15] two,articles [15] articles,#housing Top Word Pairs in Tweet in G7:
[11] policy,forum [10] fits,many [10] many,reports [10] reports,food [10] food,insecurity [10] insecurity,due [10] due,#covid19 [10] #covid19,massive [10] massive,issue [10] issue,precarious Top Word Pairs in Tweet in G8:
[32] pleads,guilty [31] grand,jury [31] jury,indicts [29] federal,grand [26] sexually,trafficking [26] trafficking,exploiting [25] indicts,hamilton [25] hamilton,man [25] man,sexually [25] exploiting,teen Top Word Pairs in Tweet in G9:
[31] covid,19 [26] toronto,covid [26] covid,cases [26] cases,highly [26] highly,correlated [26] correlated,income [26] income,race [26] race,#sdoh [26] #sdoh,#topoli [25] nicholas_falvo,toronto Top Word Pairs in Tweet in G10:
[13] health,care [10] care,atrium [10] atrium,health [10] health,launches [10] launches,community [10] community,based [10] based,summer [10] summer,food [10] food,programs [10] programs,address 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 G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
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Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: