The graph represents a network of 2,646 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, 16 October 2022 at 05:54 UTC.
The requested start date was Sunday, 16 October 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 13-day, 10-hour, 27-minute period from Sunday, 02 October 2022 at 00:35 UTC to Saturday, 15 October 2022 at 11:02 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 : 2646
Unique Edges : 1793
Edges With Duplicates : 3905
Total Edges : 5698
Number of Edge Types : 5
Tweet : 731
Retweet : 1602
MentionsInRetweet : 2148
Replies to : 230
Mentions : 987
Self-Loops : 752
Reciprocated Vertex Pair Ratio : 0.0417673455298585
Reciprocated Edge Ratio : 0.0801855533465871
Connected Components : 368
Single-Vertex Connected Components : 149
Maximum Vertices in a Connected Component : 1517
Maximum Edges in a Connected Component : 3495
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.325383
Graph Density : 0.000431224789852929
Modularity : 0.527111
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 2,646 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, 16 October 2022 at 05:54 UTC.
The requested start date was Sunday, 16 October 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 13-day, 10-hour, 27-minute period from Sunday, 02 October 2022 at 00:35 UTC to Saturday, 15 October 2022 at 11:02 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:
[353] care,model [351] based,care [350] more,willing [350] family,caregivers [349] willing,facilitate [349] facilitate,home [349] home,based [349] eager,training [349] caregivers,more [349] training,technology Top Word Pairs in Tweet in G1:
[346] more,willing [346] facilitate,home [346] caregivers,more [346] training,technology [346] care,model [346] eager,training [346] family,caregivers [346] model,eager [346] home,based [346] willing,facilitate Top Word Pairs in Tweet in G2:
[149] part,narcotics [149] distribution,ring [149] narcotics,distribution [149] indicted,part [149] ohioans,indicted [148] 23,ohioans [128] involving,bulk [128] amounts,fentanyl [128] bulk,amounts [128] fentanyl,crack Top Word Pairs in Tweet in G3:
[29] social,determinants [28] determinants,health [10] health,sdoh [8] white,house [8] health,equity [7] sdoh,data [7] health,outcomes [5] food,insecurity [5] october,2022 [5] features,october Top Word Pairs in Tweet in G4:
[42] ðµð,ñœ [38] ðµð,ðµ [33] ðµ,ðµð [32] ðµ,ðµñ [29] ðµð,ðµð [27] #ð,ñƒñ [24] ðºð,ðµð [23] ðºñ,ñœ [22] ðµñ,ðµ [21] ðºð,ðµ Top Word Pairs in Tweet in G5:
[19] social,determinants [19] determinants,health [18] #sdoh,data [17] big,news [13] social,care [12] health,#sdoh [10] #sdoh,#interoperability [10] civitas4health,thegravityproj [10] rwjf,civitas4health [10] partner,help Top Word Pairs in Tweet in G6:
[25] #sdoh,action [25] action,hospitals [25] hospitals,published [25] published,today [25] today,health_affairs [25] article,proposing [25] community,#sdoh [25] proposing,typology [25] typology,community [24] matildareallen,article Top Word Pairs in Tweet in G7:
[11] digital,healthcare [9] serve,individuals [9] individuals,unmet [9] healthcare,technologies [9] model,#sdoh [8] views,blog [8] #ahrq,views [7] erine,gray [6] finding,implementing [6] learn,more Top Word Pairs in Tweet in G8:
[4] #sdoh,#healthequity [4] #txhimayall,#ahima22 [3] health,outcomes [3] #publichealth,practice [3] based,historical [3] data,models [3] ai,biased [3] #povertyâ,known [3] models,ai [3] small,subset Top Word Pairs in Tweet in G9:
[6] many,times [6] record,patient [6] justice,involved [6] involved,astounding [6] healthcare,record [6] look,longitudinal [6] patient,justice [6] take,look [6] astounding,many [6] longitudinal,healthcare Top Word Pairs in Tweet in G10:
[8] ended,#homelessness [8] medicine,ended [8] #homelessness,year [8] last,long [8] long,family [8] #addiction,mental [8] year,ago [8] breakdown,#addiction [8] ago,last [8] family,breakdown 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: