The graph represents a network of 2,429 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, 22 May 2022 at 05:52 UTC.
The requested start date was Sunday, 22 May 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, 7-hour, 37-minute period from Sunday, 08 May 2022 at 03:15 UTC to Friday, 20 May 2022 at 10:52 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 : 2429
Unique Edges : 1704
Edges With Duplicates : 3639
Total Edges : 5343
Number of Edge Types : 5
Retweet : 1491
MentionsInRetweet : 2050
Replies to : 231
Mentions : 936
Tweet : 635
Self-Loops : 652
Reciprocated Vertex Pair Ratio : 0.0531169310217632
Reciprocated Edge Ratio : 0.100875656742557
Connected Components : 351
Single-Vertex Connected Components : 140
Maximum Vertices in a Connected Component : 697
Maximum Edges in a Connected Component : 1652
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.666278
Graph Density : 0.000484094240177211
Modularity : 0.525354
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,429 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, 22 May 2022 at 05:52 UTC.
The requested start date was Sunday, 22 May 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, 7-hour, 37-minute period from Sunday, 08 May 2022 at 03:15 UTC to Friday, 20 May 2022 at 10:52 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:
[534] health,equity [487] public,health [481] health,health [474] long,term [473] primary,care [472] care,community [471] covid,under [471] under,control [471] control,usa [471] usa,underfunding Top Word Pairs in Tweet in G1:
[468] covid,under [468] under,control [468] control,usa [468] usa,underfunding [468] underfunding,primary [468] primary,care [468] care,long [468] long,term [468] term,care [468] care,community Top Word Pairs in Tweet in G2:
[23] social,determinants [22] determinants,health [12] risk,patients [11] learn,more [11] help,risk [11] patients,sdoh [11] sdoh,pop [11] pop,health [10] nlp,help [8] advanced,analytics Top Word Pairs in Tweet in G3:
[13] croakey,#ausvoteshealth2022 [13] #ausvoteshealth2022,zoom [13] zoom,analysis [13] analysis,alisonverhoeven [13] alisonverhoeven,importance [13] importance,poverty [13] poverty,housing [13] housing,health [12] lrussellwolpe,croakey [12] health,linkag Top Word Pairs in Tweet in G4:
[10] я,не [9] у,меня [9] что,то [8] не,знаю [7] кто,нибудь [6] я,так [6] есть,ли [6] даже,если [6] что,я [6] #pathologic,#морутопия Top Word Pairs in Tweet in G5:
[11] #housing,#sdoh [10] #sdoh,#publichealth [10] risk,patients [9] help,risk [8] podcast,lynn [8] lynn,barr [8] barr,founder [8] founder,caravan [8] caravan,health [8] health,chief Top Word Pairs in Tweet in G6:
[19] died,communities [19] communities,decades [19] decades,health [19] health,degraded [19] degraded,entrenched [19] entrenched,medical [19] medical,#racism [19] #racism,environmental [18] healthbegins,died [18] environmental,injust Top Word Pairs in Tweet in G7:
[7] #sdoh,needs [6] health,equity [6] mental,health [6] today,marks [6] marks,first [6] first,day [6] day,#nursesweek [6] #nursesweek,apha [6] apha,nursing [6] nursing,celebrates Top Word Pairs in Tweet in G8:
[29] social,determinants [28] determinants,health [9] conditions,people [9] people,born [9] born,grow [9] grow,live [9] live,work [9] work,age [8] health,conditions [7] age,#sdoh Top Word Pairs in Tweet in G9:
[6] food,rx [5] iamritu,modeldoc [5] modeldoc,race [5] race,ethnicity [5] ethnicity,#sdoh [5] #sdoh,circaha [5] circaha,use [5] use,standardized [5] standardized,tools [5] tools,help Top Word Pairs in Tweet in G10:
[59] #sdoh,#primarycare [59] #primarycare,story [59] story,back [59] back,diagnosed [59] diagnosed,#homeless [59] #homeless,patient [59] patient,mine [59] mine,diabetes [59] diabetes,hba1c [58] timandersonmd,#sdoh Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: