The graph represents a network of 2,038 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, 05 June 2022 at 05:52 UTC.
The requested start date was Sunday, 05 June 2022 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 12-day, 10-hour, 7-minute period from Sunday, 22 May 2022 at 01:12 UTC to Friday, 03 June 2022 at 11:19 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 : 2038
Unique Edges : 1583
Edges With Duplicates : 3094
Total Edges : 4677
Number of Edge Types : 5
Replies to : 438
Tweet : 622
Retweet : 1075
MentionsInRetweet : 1521
Mentions : 1021
Self-Loops : 642
Reciprocated Vertex Pair Ratio : 0.0666666666666667
Reciprocated Edge Ratio : 0.125
Connected Components : 365
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 328
Maximum Edges in a Connected Component : 810
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.781789
Graph Density : 0.000570409157764863
Modularity : 0.506101
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,038 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, 05 June 2022 at 05:52 UTC.
The requested start date was Sunday, 05 June 2022 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 12-day, 10-hour, 7-minute period from Sunday, 22 May 2022 at 01:12 UTC to Friday, 03 June 2022 at 11:19 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:
[178] determinants,health [175] social,determinants [78] health,equity [67] public,health [48] #sdoh,#healthequity [46] long,term [45] ai,sdoh [45] primary,care [42] health,health [42] social,assistance Top Word Pairs in Tweet in G1:
[39] very,small [39] small,meal [39] meal,once [39] once,day [39] day,inflation [39] inflation,soars [39] soars,canadians [39] canadians,social [39] social,assistance [39] assistance,describe Top Word Pairs in Tweet in G2:
[32] social,determinants [30] determinants,health [11] health,sdoh [10] former,president [10] ohio,man [9] mental,health [9] man,charged [9] charged,aiding [9] aiding,abetting [9] abetting,plot Top Word Pairs in Tweet in G3:
[10] что,то [9] я,не [9] и,не [9] у,меня [8] не,могу [8] #морутопия,#pathologic [7] потому,что [6] мені,не [6] не,сумно [6] мне,в Top Word Pairs in Tweet in G4:
[33] ai,sdoh [29] lightbeam,health [29] health,acquires [29] acquires,jvion [29] jvion,ai [29] sdoh,solutions [13] solutions,#itsm [13] #itsm,#digital [13] #digital,#digitalhealth [13] #digitalhealth,#health Top Word Pairs in Tweet in G5:
[17] vahazar,mrsbackstab [14] akumallator,__sdoh [13] __sdoh,mrsbackstab [11] __sdoh,akumallator [7] verdammt_bast,__sdoh [7] __sdoh,victorkvert2008 [7] haesooswhore,thathorsi [7] thathorsi,jaydenmybel0ved [7] jaydenmybel0ved,highkeyoli [7] theundany,daryafcb7 Top Word Pairs in Tweet in G6:
[10] social,determinants [10] determinants,health [9] health,outcomes [9] address,#sdoh [9] learn,more [7] #sdoh,#healthequity [7] icymi,macpac's [7] macpac's,issue [7] issue,brief [7] brief,financing Top Word Pairs in Tweet in G7:
[5] social,determinants [5] determinants,health [5] health,care [5] #healthequity,#sdoh [4] screening,#sdoh [4] #sdoh,incredibly [4] incredibly,important [4] important,done [4] done,correctly [4] correctly,impact Top Word Pairs in Tweet in G8:
[20] #healthcare,address [20] address,income [20] income,mortality [20] mortality,gradient [20] gradient,workforce [20] workforce,society [19] atheendar,#healthcare [15] membership,provides [15] provides,access [15] virtual,events Top Word Pairs in Tweet in G9:
[19] social,determinants [19] determinants,health [8] paper,myvoiceyouth [7] health,medical [7] reflection,social [7] social,worker [7] worker,talks [7] talks,social [7] health,inequality [7] inequality,much Top Word Pairs in Tweet in G10:
[31] editor's,choice [31] peace,fundamental [23] fundamental,determinant [22] thrilled,announce [22] announce,amjpublichealth [22] amjpublichealth,editor's [22] choice,issue [22] issue,coming [22] coming,soon [22] soon,peace Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: