The graph represents a network of 4,762 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 06:56 UTC.
The tweets in the network were tweeted over the 1826-day, 0-hour, 21-minute period from Sunday, 11 March 2018 at 23:50 UTC to Sunday, 12 March 2023 at 00:12 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 : 4762
Unique Edges : 4063
Edges With Duplicates : 8087
Total Edges : 12150
Number of Edge Types : 9
Retweet : 2405
MentionsInRetweet : 3779
Tweet : 1297
Mentions : 1980
Replies to : 698
MentionsInReplyTo : 1337
MentionsInQuote : 392
Quote : 257
MentionsInQuoteReply : 5
Self-Loops : 1882
Reciprocated Vertex Pair Ratio : 0.0739219712525667
Reciprocated Edge Ratio : 0.137667304015296
Connected Components : 711
Single-Vertex Connected Components : 354
Maximum Vertices in a Connected Component : 2737
Maximum Edges in a Connected Component : 8352
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.370107
Graph Density : 0.000276818660224149
Modularity : 0.497469
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,762 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 3/11/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 12 March 2023 at 06:56 UTC.
The tweets in the network were tweeted over the 1826-day, 0-hour, 21-minute period from Sunday, 11 March 2018 at 23:50 UTC to Sunday, 12 March 2023 at 00:12 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:
[695] social,determinants [667] determinants,health [291] health,equity [223] health,sdoh [178] learn,more [157] health,outcomes [140] addressing,social [115] health,#sdoh [115] #healthequity,#sdoh [98] health,care Top Word Pairs in Tweet in G1:
[97] social,determinants [86] determinants,health [54] health,equity [49] #sdoh,data [38] sdoh,data [35] learn,more [34] information,exchange [29] #healthequity,#sdoh [27] value,based [26] #sdoh,#healthequity Top Word Pairs in Tweet in G2:
[101] social,determinants [95] determinants,health [53] health,sdoh [32] health,equity [30] learn,more [25] health,outcomes [20] read,more [16] sdoh,toolkit [16] toolkit,communities [15] onc,creates Top Word Pairs in Tweet in G3:
[27] social,determinants [24] determinants,health [20] #sdoh,#cvd [19] cv,outcomes [19] disparities,cv [19] outcomes,women [19] ditchhaporia,#rise2023 [19] #cvd,outcomes [19] outcomes,ditchhaporia [19] great,overview Top Word Pairs in Tweet in G4:
[139] social,determinants [138] determinants,health [86] addressing,social [80] health,sdoh [79] proud,join [73] minorityhealth,celebrating [72] join,minorityhealth [71] celebrating,#blackhistorymonth [71] #blackhistorymonth,addressing [70] black,communities Top Word Pairs in Tweet in G5:
[59] cincinnati,man [55] sex,trafficking [54] arrested,charged [51] years,prison [50] charged,federally [48] agency,investigation [48] federally,sex [48] man,arrested [48] multi,agency [48] following,multi Top Word Pairs in Tweet in G6:
[28] determinants,health [27] social,determinants [19] executive,board [17] board,#eb152 [16] today,executive [15] #eb152,discuss [15] violence,against [15] discuss,accelerate [15] against,children [15] change,insight Top Word Pairs in Tweet in G7:
[13] #healthequity,#sdoh [9] social,needs [7] related,social [7] health,related [6] health,equity [6] health,inequities [6] health,outcomes [6] social,determinant [5] clear,way [5] invasive,especially Top Word Pairs in Tweet in G8:
[25] health_affairs,insider [25] sdoh,newsletter [21] collecting,data [21] hear,collecting [21] know,needs [21] data,sdoh [21] needs,hear [21] sdoh,addressing [21] addressing,sdoh [20] drzackaryberger,know Top Word Pairs in Tweet in G9:
[14] health,care [10] determinants,health [8] #nunavuthealth,#sdoh [8] social,care [7] precarious,employment [7] helpful,see [7] reviewing,evidence [7] highlighted,world [7] evidence,links [7] between,precarious Top Word Pairs in Tweet in G10:
[15] work,remains [15] end,huge [15] demolished,lots [15] thanks,mbebinger [15] mbebinger,covering [15] roadblock,finally [15] covering,waiver [15] lots,work [15] finally,demolished [15] waiver,end Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: