The graph represents a network of 1,920 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, 12 June 2022 at 05:53 UTC.
The requested start date was Sunday, 12 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, 9-hour, 0-minute period from Sunday, 29 May 2022 at 01:13 UTC to Friday, 10 June 2022 at 10:14 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 : 1920
Unique Edges : 1488
Edges With Duplicates : 2363
Total Edges : 3851
Number of Edge Types : 5
Retweet : 952
MentionsInRetweet : 1353
Mentions : 852
Replies to : 156
Tweet : 538
Self-Loops : 556
Reciprocated Vertex Pair Ratio : 0.0534388916378031
Reciprocated Edge Ratio : 0.101456082667919
Connected Components : 351
Single-Vertex Connected Components : 143
Maximum Vertices in a Connected Component : 635
Maximum Edges in a Connected Component : 1459
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 9.457883
Graph Density : 0.000577829164495397
Modularity : 0.560703
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,920 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, 12 June 2022 at 05:53 UTC.
The requested start date was Sunday, 12 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, 9-hour, 0-minute period from Sunday, 29 May 2022 at 01:13 UTC to Friday, 10 June 2022 at 10:14 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:
[196] social,determinants [180] determinants,health [69] ai,sdoh [50] #sdoh,#healthequity [49] health,equity [49] ðµð,ðµð [49] ðµð,ðµ [49] health,#sdoh [47] acquires,jvion [47] jvion,ai Top Word Pairs in Tweet in G1:
[28] determinants,health [27] social,determinants [19] ai,sdoh [13] ãƒ,ム[11] health,sdoh [9] lightbeam,acquires [8] acquires,jvion [8] jvion,ai [7] sdoh,solutions [6] learn,more Top Word Pairs in Tweet in G2:
[26] determinants,health [13] social,determinants [13] political,determinants [10] racism,classism [10] classism,homophobia [10] homophobia,etc [10] etc,find [10] find,way [9] pm_alberti,racism [9] address,#sdoh Top Word Pairs in Tweet in G3:
[40] assisted,dying [40] dying,law [40] law,includes [40] includes,deaths [40] reasonably,foreseeable [34] canada's,assisted [34] deaths,reasonably [34] foreseeable,people [34] people,seek [34] seek,#maid Top Word Pairs in Tweet in G4:
[30] ðµð,ðµð [28] ðµñ,ðµð [28] ñœ,ðµð [27] ðµð,ðºð [26] ðµð,ðµ [22] ðµð,ðµñ [21] ðºð,ðµð [20] ðµ,ðµñ [19] ðµ,ðºð [17] ðµñ,ðµñ Top Word Pairs in Tweet in G5:
[12] cmo,jrgralow [12] jrgralow,#asco22 [12] #asco22,abs [12] abs,6509 [12] 6509,found [12] found,increased [12] increased,public [12] public,welfare [12] welfare,investment [12] investment,improves Top Word Pairs in Tweet in G6:
[9] social,determinants [9] determinants,health [8] #healthequity,#sdoh [8] public,health [7] webinar,tackling [7] tackling,online [7] online,health [7] health,disinformation [7] disinformation,dr [7] dr,garth Top Word Pairs in Tweet in G7:
[22] social,determinants [19] effects,unconditional [19] unconditional,cash [19] cash,transfers [19] transfers,health [19] health,service [19] service,use [19] use,health [19] health,outcomes [19] outcomes,social Top Word Pairs in Tweet in G8:
[21] thanks,everyone [21] everyone,helping [21] helping,share [21] share,croakeynews [21] croakeynews,impact [21] impact,updated [21] updated,check [21] check,see [20] croakeynews,thanks [20] see,we' Top Word Pairs in Tweet in G9:
[9] using,predictive [9] predictive,prescriptive [9] prescriptive,insights [9] insights,close [9] close,care [9] care,gaps [8] better,treating [8] treating,#disease [8] #disease,preventing [6] health,systems Top Word Pairs in Tweet in G10:
[15] physicians,codes [15] codes,document [15] rationing,high [15] high,costs [13] costs,sdoh [11] ama,give [11] give,physicians [11] document,delayed [11] delayed,changed [11] changed,abandoned 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: