The graph represents a network of 1,806 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, 18 September 2022 at 05:52 UTC.
The requested start date was Sunday, 18 September 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, 10-hour, 42-minute period from Sunday, 04 September 2022 at 00:19 UTC to Friday, 16 September 2022 at 11:01 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 : 1806
Unique Edges : 1455
Edges With Duplicates : 2319
Total Edges : 3774
Number of Edge Types : 5
Retweet : 851
MentionsInRetweet : 1264
Tweet : 604
Mentions : 872
Replies to : 183
Self-Loops : 628
Reciprocated Vertex Pair Ratio : 0.0519280205655527
Reciprocated Edge Ratio : 0.0987292277614858
Connected Components : 337
Single-Vertex Connected Components : 138
Maximum Vertices in a Connected Component : 549
Maximum Edges in a Connected Component : 1392
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 9.016279
Graph Density : 0.000627640091661222
Modularity : 0.548907
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,806 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, 18 September 2022 at 05:52 UTC.
The requested start date was Sunday, 18 September 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, 10-hour, 42-minute period from Sunday, 04 September 2022 at 00:19 UTC to Friday, 16 September 2022 at 11:01 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:
[139] determinants,health [132] social,determinants [76] health,equity [39] report,developed [37] social,justice [35] justice,killing [35] killing,grand [35] grand,scale [35] scale,cover [35] cover,#sdoh Top Word Pairs in Tweet in G1:
[30] social,determinants [28] determinants,health [12] health,sdoh [7] health,#sdoh [6] well,being [6] #healthequity,#sdoh [6] health,disparities [5] health,equity [5] #sdoh,#healthequity [4] mental,health Top Word Pairs in Tweet in G2:
[33] health,innovation [32] #healthunabashed,dr [32] dr,kate [32] kate,merton [32] merton,katherinemerton [32] #chicagoarc,health [32] innovation,venture [19] social,determinants [19] determinants,health [17] katherinemerton,executive Top Word Pairs in Tweet in G3:
[6] health,equity [6] emily_baum,nytimes [5] tired,proliferation [5] proliferation,tents [5] tents,sidewalks [5] sidewalks,pandemic [5] pandemic,showed [5] showed,reduce [5] reduce,#homelessness [5] #homelessness,investing Top Word Pairs in Tweet in G4:
[8] ðµñ,ñœ [8] ðµð,ðµð [7] ðµð,ðµñ [6] ðµñ,ðµñ [6] я,не [6] в,мене [5] ðµñ,ðµð [4] ðµð,ñœð [4] ðµ,ðµð [4] от,нападения Top Word Pairs in Tweet in G5:
[18] health,equity [12] #healthequity,#sdoh [9] mental,health [8] #education,#sdoh [8] public,health [7] #sdoh,#publichealth [6] refreshing,hear [6] hear,prof [6] prof,john [6] john,wright Top Word Pairs in Tweet in G6:
[32] #patientfirst,#sdoh [20] #asnc2022,#patientfirst [12] #asnc022,#patientfirst [9] advancing,health [9] health,equity [9] ktamirisamd,#hrx2022 [8] #asnc2022,important [8] important,#patientfirst [8] #patientfirst,topic [8] topic,advancing Top Word Pairs in Tweet in G7:
[6] fordnation,#heatwaves [6] #heatwaves,fueled [6] fueled,#climatecrisis [6] #climatecrisis,threaten [6] threaten,lives [6] lives,those [6] those,sweltering [6] sweltering,rental [6] rental,housing [5] health_enviro,fordnation Top Word Pairs in Tweet in G8:
[36] social,justice [35] justice,killing [35] killing,grand [35] grand,scale [35] scale,cover [35] cover,#sdoh [35] #sdoh,report [35] report,developed [34] michaelmarmot,social [8] #sdoh,#epapsyepi2022 Top Word Pairs in Tweet in G9:
[20] codes,document [18] delayed,changed [17] changed,abandoned [16] care,due [14] due,insurer [13] give,physicians [13] physicians,codes [13] insurer,prior [13] costs,sdoh [12] ama,give Top Word Pairs in Tweet in G10:
[9] stories,frontlines [9] frontlines,low [9] low,jobseeker [9] jobseeker,rate [9] rate,health [9] health,hazard [9] hazard,#sdoh [9] #sdoh,#auspol [8] melissasweetdr,stories [8] #auspol,frâ Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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: