The graph represents a network of 5,035 Twitter users whose recent tweets contained "sdoh", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 06:55 UTC.
The tweets in the network were tweeted over the 1572-day, 4-hour, 57-minute period from Tuesday, 16 October 2018 at 19:44 UTC to Sunday, 05 February 2023 at 00:41 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5035
Unique Edges : 4148
Edges With Duplicates : 8225
Total Edges : 12373
Number of Edge Types : 9
Retweet : 2247
MentionsInRetweet : 3600
Tweet : 1404
Mentions : 1819
MentionsInQuote : 260
Quote : 225
MentionsInReplyTo : 1847
Replies to : 886
MentionsInQuoteReply : 85
Self-Loops : 2077
Reciprocated Vertex Pair Ratio : 0.0600665557404326
Reciprocated Edge Ratio : 0.113326008475906
Connected Components : 822
Single-Vertex Connected Components : 395
Maximum Vertices in a Connected Component : 2926
Maximum Edges in a Connected Component : 8361
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.489818
Graph Density : 0.000251359277272048
Modularity : 0.507261
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,035 Twitter users whose recent tweets contained "sdoh", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 06:55 UTC.
The tweets in the network were tweeted over the 1572-day, 4-hour, 57-minute period from Tuesday, 16 October 2018 at 19:44 UTC to Sunday, 05 February 2023 at 00:41 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[713] social,determinants [700] determinants,health [392] health,equity [169] health,#sdoh [151] learn,more [150] health,sdoh [121] health,outcomes [101] #sdoh,#healthequity [87] equity,network [83] #healthequity,#sdoh Top Word Pairs in Tweet in G1:
[122] social,determinants [121] determinants,health [50] health,equity [48] health,sdoh [25] sdoh,data [18] health,outcomes [18] health,#sdoh [17] 2023,holds [17] ehr,optimization [17] patient,access Top Word Pairs in Tweet in G2:
[50] social,determinants [49] determinants,health [18] executive,board [16] board,#eb152 [15] today,executive [14] #eb152,discuss [14] violence,against [14] discuss,accelerate [14] against,children [14] progress,tackling Top Word Pairs in Tweet in G3:
[24] social,determinants [23] determinants,health [21] black,women [19] affected,#cvd [19] #cvd,face [19] take,achieve [19] mortality,take [19] disproportionately,affected [19] face,higher [19] women,disproportionately Top Word Pairs in Tweet in G4:
[29] electronic,health [29] health,records [17] #healthequity,#sdoh [17] #digitalhealth,#ehealth [16] determinants,health [16] social,determinants [13] #healthequity,forms [13] #ehealth,#digitalhealth [13] health,equity [13] inspired,#martinlutherking Top Word Pairs in Tweet in G5:
[35] people,live [34] food,kids [34] kids,go [34] school,hungry [34] suffer,mental [34] tents,families [34] mental,illness [34] people,suffer [34] families,enough [34] hungry,people Top Word Pairs in Tweet in G6:
[107] social,determinants [105] determinants,health [49] health,equity [43] healthy,people [38] people,2030 [37] equity,black [36] advance,health [34] african,american [34] continue,advance [34] #blackhistorymonth,continue Top Word Pairs in Tweet in G7:
[23] #cancer,prof [23] happy,share [23] sanchiaaranda,happy [23] #inequity,#cancer [23] very,pleased [23] share,pre [23] pleased,write [23] prof,sanchiaaranda [23] editorial,#inequity [23] write,editorial Top Word Pairs in Tweet in G8:
[53] prior,authorization [45] codes,document [44] delayed,changed [43] authorization,rationing [42] abandoned,care [42] changed,abandoned [42] care,due [37] insurer,prior [37] due,insurer [35] physicians,patients Top Word Pairs in Tweet in G9:
[15] health,equity [11] #healthequity,#sdoh [10] read,more [9] health,care [8] social,determinants [8] health,outcomes [8] determinants,health [7] inequities,health [7] equity,improvement [7] based,inequities Top Word Pairs in Tweet in G10:
[20] determinants,health [18] social,determinants [17] health,equity [12] public,health [11] health,public [10] health,buzz [10] buzz,term [10] super,important [10] one,super [10] clearly,explain 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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