The graph represents a network of 2,123 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, 15 May 2022 at 05:52 UTC.
The requested start date was Sunday, 15 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, 9-hour, 38-minute period from Sunday, 01 May 2022 at 01:31 UTC to Friday, 13 May 2022 at 11:10 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 : 2123
Unique Edges : 1688
Edges With Duplicates : 2615
Total Edges : 4303
Number of Edge Types : 5
Replies to : 222
Mentions : 987
Retweet : 1026
MentionsInRetweet : 1520
Tweet : 548
Self-Loops : 564
Reciprocated Vertex Pair Ratio : 0.0464316423043852
Reciprocated Edge Ratio : 0.0887428101889893
Connected Components : 347
Single-Vertex Connected Components : 135
Maximum Vertices in a Connected Component : 772
Maximum Edges in a Connected Component : 1703
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.387681
Graph Density : 0.000540287848673231
Modularity : 0.567932
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,123 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, 15 May 2022 at 05:52 UTC.
The requested start date was Sunday, 15 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, 9-hour, 38-minute period from Sunday, 01 May 2022 at 01:31 UTC to Friday, 13 May 2022 at 11:10 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:
[166] social,determinants [158] determinants,health [74] over,next [74] rental,apartments [73] united,church [73] church,transform [73] transform,properties [73] properties,rental [73] apartments,church [73] church,plans Top Word Pairs in Tweet in G1:
[74] rental,apartments [73] united,church [73] church,transform [73] transform,properties [73] properties,rental [73] apartments,church [73] church,plans [73] plans,house [73] house,34 [73] 34,000 Top Word Pairs in Tweet in G2:
[22] social,determinants [21] determinants,health [12] health,sdoh [10] patients,sdoh [10] nlp,help [10] help,risk [10] risk,patients [10] pop,health [9] sdoh,pop [7] learn,more Top Word Pairs in Tweet in G3:
[29] ðµð,ðµñ [26] ðµð,ðµð [21] ðµñ,ðµð [21] ðµð,ðµ [15] ðºð,ðµñ [14] ðºð,ðºð [14] ðµ,ðµñ [13] ðµð,ñœ [13] ðµ,ðµð [12] ðµñ,ðµñ Top Word Pairs in Tweet in G4:
[7] social,determinants [7] determinants,health [7] health,#sdoh [6] addressing,#sdoh [6] #housing,#healthcare [6] #healthcare,partnerships [6] partnerships,critical [6] critical,addressing [6] addressing,social [5] stuartmbutler,#housing Top Word Pairs in Tweet in G5:
[11] #housingjusticeaus,#sdoh [10] giving,ex [10] ex,prisoners [10] prisoners,public [10] public,housing [10] housing,cuts [10] cuts,crime [10] crime,re [10] re,incarceration [10] incarceration,saves Top Word Pairs in Tweet in G6:
[10] buzzword,trends [10] trends,health [10] health,colin_hung [10] colin_hung,patient [10] patient,experience [10] experience,care [10] care,home [10] home,health [10] health,equity [10] equity,sdoh Top Word Pairs in Tweet in G7:
[56] repeated,theme [56] theme,bmj_latest [56] bmj_latest,week [56] week,thing [56] thing,shocks [56] reduction,total [56] total,life [55] trisha_the_doc,repeated [50] shocks,isnâ [50] isnâ,reduction Top Word Pairs in Tweet in G8:
[14] friday,farm [7] farm,back [7] back,catch [7] catch,rooftop [7] rooftop,farm [7] farm,manager [7] manager,annabel [7] annabel,friday [7] farm,updates [7] updates,tips Top Word Pairs in Tweet in G9:
[58] #sdoh,#primarycare [58] #primarycare,story [58] story,back [58] back,diagnosed [58] diagnosed,#homeless [58] #homeless,patient [58] patient,mine [58] mine,diabetes [58] diabetes,hba1c [57] timandersonmd,#sdoh Top Word Pairs in Tweet in G10:
[2] #happymothersday,kudos [2] kudos,one [2] one,great [2] great,young [2] young,physician [2] physician,leaders [2] leaders,generation [2] generation,#whitehousefellow [2] #whitehousefellow,hudgov 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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