The graph represents a network of 4,677 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 05:56 UTC.
The tweets in the network were tweeted over the 1964-day, 12-hour, 28-minute period from Tuesday, 31 October 2017 at 10:22 UTC to Saturday, 18 March 2023 at 22:51 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 : 4677
Unique Edges : 4019
Edges With Duplicates : 8003
Total Edges : 12022
Number of Edge Types : 9
Tweet : 1361
Mentions : 1952
Retweet : 2367
MentionsInRetweet : 3746
Replies to : 686
MentionsInReplyTo : 1270
MentionsInQuote : 383
Quote : 255
MentionsInQuoteReply : 2
Self-Loops : 1948
Reciprocated Vertex Pair Ratio : 0.0716282320055905
Reciprocated Edge Ratio : 0.133681121617216
Connected Components : 730
Single-Vertex Connected Components : 369
Maximum Vertices in a Connected Component : 2639
Maximum Edges in a Connected Component : 8179
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.278064
Graph Density : 0.000280480000321907
Modularity : 0.495235
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,677 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 05:56 UTC.
The tweets in the network were tweeted over the 1964-day, 12-hour, 28-minute period from Tuesday, 31 October 2017 at 10:22 UTC to Saturday, 18 March 2023 at 22:51 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:
[660] social,determinants [615] determinants,health [252] health,equity [213] health,sdoh [170] learn,more [140] addressing,social [139] health,outcomes [122] health,care [118] #healthequity,#sdoh [97] #sdoh,#healthequity Top Word Pairs in Tweet in G1:
[95] social,determinants [83] determinants,health [60] health,equity [52] learn,more [44] #sdoh,data [39] sdoh,data [37] information,exchange [35] #healthequity,#sdoh [29] #thinkspatially,#valuebasedcare [28] #valuebasedcare,#healthequity Top Word Pairs in Tweet in G2:
[97] social,determinants [89] determinants,health [53] health,sdoh [31] health,equity [29] health,outcomes [29] learn,more [24] read,more [18] social,determinant [18] mental,health [17] sdoh,toolkit Top Word Pairs in Tweet in G3:
[23] social,determinants [22] determinants,health [19] health,disparities [13] #acc23,#wccardio [10] disparities,paula [10] press,#sdoh [10] paula,braveman [10] oxford,university [10] university,press [10] braveman,oxford Top Word Pairs in Tweet in G4:
[63] years,prison [59] sex,trafficking [41] cincinnati,man [40] arrested,charged [39] man,arrested [39] following,multi [39] agency,investigation [39] charged,federally [39] multi,agency [39] federally,sex Top Word Pairs in Tweet in G5:
[21] 2023,nceas [17] nceas,annual [17] annual,conference [12] conference,register [10] #nceas2023,#sdoh [10] #healthequity,#sdoh [8] address,#sdoh [8] #sdoh,#healthequity [8] #nceas2023,day [7] social,needs Top Word Pairs in Tweet in G6:
[39] health,equity [35] determinants,health [32] equity,network [28] uk,registered [28] joined,health [28] 500,people [28] registered,begun [28] network,over [28] people,uk [28] begun,process Top Word Pairs in Tweet in G7:
[88] social,determinants [87] determinants,health [55] addressing,social [54] black,communities [54] join,minorityhealth [54] minorityhealth,celebrating [54] health,sdoh [50] proud,join [49] #blackhistorymonth,addressing [49] celebrating,#blackhistorymonth Top Word Pairs in Tweet in G8:
[19] great,overview [19] #sdoh,#cvd [19] #rise2023,disparities [19] disparities,cv [19] outcomes,women [19] overview,#sdoh [19] ditchhaporia,#rise2023 [19] outcomes,ditchhaporia [19] #cvd,outcomes [19] cv,outcomes Top Word Pairs in Tweet in G9:
[24] health_affairs,insider [24] sdoh,newsletter [23] needs,hear [23] know,needs [23] data,sdoh [23] collecting,data [23] addressing,sdoh [23] hear,collecting [23] sdoh,addressing [22] drzackaryberger,know Top Word Pairs in Tweet in G10:
[26] addressing,social [26] health,care [23] social,determinants [23] care,organizations [22] social,needs [21] theme,issue [15] read,special [15] special,double [13] double,theme [13] actively,addressing 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: