The graph represents a network of 2,287 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, 24 April 2022 at 05:53 UTC.
The requested start date was Sunday, 24 April 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, 8-hour, 44-minute period from Sunday, 10 April 2022 at 01:09 UTC to Friday, 22 April 2022 at 09:53 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 : 2287
Unique Edges : 1854
Edges With Duplicates : 3095
Total Edges : 4949
Number of Edge Types : 5
Retweet : 1260
MentionsInRetweet : 1995
Mentions : 951
Replies to : 187
Tweet : 556
Self-Loops : 570
Reciprocated Vertex Pair Ratio : 0.052299703264095
Reciprocated Edge Ratio : 0.0994007754670427
Connected Components : 353
Single-Vertex Connected Components : 122
Maximum Vertices in a Connected Component : 1149
Maximum Edges in a Connected Component : 2949
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 8.217442
Graph Density : 0.000542646423678894
Modularity : 0.56236
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,287 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, 24 April 2022 at 05:53 UTC.
The requested start date was Sunday, 24 April 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, 8-hour, 44-minute period from Sunday, 10 April 2022 at 01:09 UTC to Friday, 22 April 2022 at 09:53 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:
[215] health,outcomes [189] poor,health [187] asked,#med [187] #med,students [187] students,greatest [187] greatest,risk [187] risk,poor [187] outcomes,smokers [187] smokers,non [187] non,exercisers Top Word Pairs in Tweet in G1:
[186] asked,#med [186] #med,students [186] students,greatest [186] greatest,risk [186] risk,poor [186] poor,health [186] health,outcomes [186] outcomes,smokers [186] smokers,non [186] non,exercisers Top Word Pairs in Tweet in G2:
[39] forget,people [39] people,need [39] need,edyong209 [39] edyong209,paid [39] paid,near [39] near,enough [39] enough,attention [38] picardonhealth,forget [38] attention,marginali [27] tale,many Top Word Pairs in Tweet in G3:
[24] social,determinants [23] determinants,health [10] health,equity [8] health,sdoh [7] #healthequity,#sdoh [6] learn,more [4] address,social [4] health,#sdoh [4] sdoh,data [4] addressing,#sdoh Top Word Pairs in Tweet in G4:
[11] health,care [7] food,insecurity [6] covid,19 [6] #sdoh,data [6] learn,more [6] ethical,lens [6] maternal,health [5] health,disparities [5] ellen's,ethical [5] lens,today Top Word Pairs in Tweet in G5:
[9] 50,дней [5] и,я [5] даже,не [4] я,очень [4] что,в [4] и,они [4] будьте,осторожны [4] из,всех [4] у,вас [4] что,мы Top Word Pairs in Tweet in G6:
[9] social,determinants [9] determinants,health [8] #sdoh,#patients [8] #patients,#physicians [8] #physicians,minds [8] minds,within [8] within,reach [8] reach,survey [8] survey,physiciansfound [7] juliaraifman,whcovidresponse Top Word Pairs in Tweet in G7:
[39] looking,postdoctoral [39] postdoctoral,position [39] position,regarding [39] regarding,cvd [39] cvd,prevention [39] prevention,athero [39] athero,imaging [39] imaging,big [39] big,data [39] data,sdoh Top Word Pairs in Tweet in G8:
[22] social,determinants [21] determinants,health [14] better,data [14] data,help [14] help,understand [14] understand,fall [14] fall,short [14] short,achieving [14] achieving,#healthequity [14] #healthequity,#ahrq's Top Word Pairs in Tweet in G9:
[18] forging,more [18] more,resilient [18] resilient,brighter [18] brighter,future [18] future,rousing [18] rousing,call [18] call,address [18] address,growing [18] growing,inequalities [13] covid,19 Top Word Pairs in Tweet in G10:
[19] #healthequity,#healthequality [15] #sdoh,#housing [13] #scicomm,#sciencecommunication [13] understand,predict [13] predict,preterm [13] preterm,deliveries [13] deliveries,stillbirths [13] stillbirths,perhaps [13] perhaps,prevent [13] prevent,data Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: