The graph represents a network of 2,786 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, 17 January 2021 at 06:34 UTC.
The requested start date was Sunday, 17 January 2021 at 01:01 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, 30-minute period from Sunday, 03 January 2021 at 03:09 UTC to Friday, 15 January 2021 at 12:39 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 : 2786
Unique Edges : 2307
Edges With Duplicates : 6110
Total Edges : 8417
Number of Edge Types : 5
Replies to : 1393
Mentions : 1326
Retweet : 1697
MentionsInRetweet : 2447
Tweet : 1554
Self-Loops : 1584
Reciprocated Vertex Pair Ratio : 0.0588768115942029
Reciprocated Edge Ratio : 0.111206159110351
Connected Components : 353
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 1383
Maximum Edges in a Connected Component : 3399
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.419446
Graph Density : 0.000451990653446767
Modularity : 0.413118
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 2,786 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, 17 January 2021 at 06:34 UTC.
The requested start date was Sunday, 17 January 2021 at 01:01 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, 30-minute period from Sunday, 03 January 2021 at 03:09 UTC to Friday, 15 January 2021 at 12:39 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:
[241] social,determinants [215] determinants,health [151] ðµ,ðµð [127] ðµð,ðµ [124] valuable,database [124] database,released [124] released,today [124] today,ahrq [124] ahrq,researchers [124] researchers,sdoh Top Word Pairs in Tweet in G1:
[22] ðµ,ðµð [20] ðµñ,ðµ [20] ðžð,ðžð [19] ðµ,ðµñ [18] ðµð,ðµ [18] ðžð,ðž [17] ðµð,ðµñ [16] ðµ,ñƒð [15] ðµñ,ðµð [15] ðÿð,ðžð Top Word Pairs in Tweet in G2:
[61] conservative,leader [61] leader,erinotoole [61] erinotoole,really [61] really,saying [61] saying,criminals [61] criminals,shouldn [61] shouldn,early [61] early,access [61] access,#coronavirus [60] picardonhealth,conservative Top Word Pairs in Tweet in G3:
[44] health,disparities [37] 2021,racism [37] racism,still [37] still,root [37] root,cause [37] cause,health [37] disparities,check [37] check,goldensherita [37] goldensherita,i's [37] i's,commentary Top Word Pairs in Tweet in G4:
[120] valuable,database [120] database,released [120] released,today [120] today,ahrq [120] ahrq,researchers [120] researchers,sdoh [120] sdoh,database [120] database,links [120] links,existing [120] existing,federal Top Word Pairs in Tweet in G5:
[41] social,determinants [37] determinants,health [8] health,care [8] health,#sdoh [8] guidance,state [7] address,social [6] #healthequity,#sdoh [6] cms,issues [6] issues,guidance [5] addressing,social Top Word Pairs in Tweet in G6:
[25] medicaid,guidance [25] guidance,sdoh [25] sdoh,supporting [25] supporting,technology [25] technology,points [25] points,onc_healthit [25] onc_healthit,interoperability [25] interoperability,standards [25] standards,advisory [24] thomasnov,medicaid Top Word Pairs in Tweet in G7:
[16] research,elenabyhoff [16] elenabyhoff,milbankfund [16] milbankfund,try [16] try,answer [16] answer,question [16] question,community [16] community,based [16] based,orgs [16] orgs,eg [15] social,determinants Top Word Pairs in Tweet in G8:
[41] social,determinants [41] determinants,health [31] healthy,people [26] healthgov,healthy [23] people,2030 [20] learn,more [18] 2030,increased [18] increased,focus [18] focus,social [18] health,learn Top Word Pairs in Tweet in G9:
[25] social,determinants [24] key,item [24] item,#eb148 [24] #eb148,social [24] determinants,key [24] key,org [24] org,initiatives [24] initiatives,#sdoh [24] #sdoh,#gpw13 [24] #gpw13,3rd Top Word Pairs in Tweet in G10:
[12] social,determinants [10] determinants,health [10] gt,gt [9] address,#sdoh [8] #sdoh,needs [7] affordable,housing [7] interesting,headline [7] headline,women [7] women,less [7] less,use Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
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: