The graph represents a network of 1,950 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, 11 December 2022 at 06:52 UTC.
The requested start date was Sunday, 11 December 2022 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, 8-hour, 20-minute period from Sunday, 27 November 2022 at 02:42 UTC to Friday, 09 December 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 : 1950
Unique Edges : 1754
Edges With Duplicates : 2573
Total Edges : 4327
Number of Edge Types : 5
Retweet : 1045
MentionsInRetweet : 1743
Replies to : 130
Tweet : 573
Mentions : 836
Self-Loops : 594
Reciprocated Vertex Pair Ratio : 0.0507963839862247
Reciprocated Edge Ratio : 0.0966816878328554
Connected Components : 347
Single-Vertex Connected Components : 168
Maximum Vertices in a Connected Component : 722
Maximum Edges in a Connected Component : 2002
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.269906
Graph Density : 0.00064227546013077
Modularity : 0.563381
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,950 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, 11 December 2022 at 06:52 UTC.
The requested start date was Sunday, 11 December 2022 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, 8-hour, 20-minute period from Sunday, 27 November 2022 at 02:42 UTC to Friday, 09 December 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:
[156] determinants,health [140] social,determinants [140] health,equity [86] learn,more [73] equity,network [50] landg_group,learn [50] network,landg_group [49] interdisciplinary,health [49] launching,interdisciplinary [49] maybe,haven't Top Word Pairs in Tweet in G1:
[40] social,determinants [35] determinants,health [19] bring,progress [19] 2023,bring [18] sdoh,tech [18] progress,sdoh [18] tech,telehealth [18] telehealth,interoperability [13] health,#sdoh [12] health,sdoh Top Word Pairs in Tweet in G2:
[24] policy,forum [19] #sdoh,policy [16] risehlth,#sdoh [12] social,determinants [11] determinants,health [10] health,well [10] improving,health [10] aspe,hhs [10] describes,role [10] role,functions Top Word Pairs in Tweet in G3:
[23] determinants,health [20] fantastic,resource [20] discussions,social [20] resource,healthfdn [20] health,show [20] frame,discussions [20] healthfdn,frame [20] social,determinants [20] show,matters [19] matters,levera Top Word Pairs in Tweet in G4:
[5] а,я [4] наблюдаю,за [4] это,не [4] и,в [4] 21,years [4] это,нормально [4] у,меня [4] это,так [4] все,ще [3] с,тобой Top Word Pairs in Tweet in G5:
[95] health,equity [69] equity,network [53] learn,more [48] network,landg_group [48] landg_group,learn [47] haven't,heard [47] interdisciplinary,health [47] maybe,haven't [47] heard,launching [47] launching,interdisciplinary Top Word Pairs in Tweet in G6:
[18] surge,rare [18] vancouver,island's [18] offered,eight [18] rare,disease [18] eight,lab [18] hits,vancouver [18] disease,hits [18] people,vaccines [18] vaccines,being [18] homeless,people Top Word Pairs in Tweet in G7:
[19] nhlbi_translate,nih [17] career,development [17] #nhlbi,workshop [17] workshop,promoting [17] excellence,career [17] promoting,inclusive [17] looking,forward [17] nih,december [17] forward,#nhlbi [17] december,2022 Top Word Pairs in Tweet in G8:
[24] sdoh,data [16] #digital,#digitalhealth [16] moving,needle [16] needle,sdoh [15] #digitalhealth,#web3 [15] #finserv,#cloud [15] #ehealth,#finserv [15] #cx,#ehealth [15] #healthtech,#smartcity [15] #clinical,#sdoh Top Word Pairs in Tweet in G9:
[17] rcpsych,rcpsychrehabsoc [17] #rcpsychwasp23,conf [17] 2023,speakers [17] rcpsychrehabsoc,#wasp [17] 18,jan [17] #wasp,16 [17] see,updated [17] programme,#rcpsychwasp23 [17] 16,18 [17] jan,2023 Top Word Pairs in Tweet in G10:
[8] racial,oligarchy [7] disadvantaged,groups [7] exposure,racial [7] hatred,despair [7] self,hatred [7] stress,self [7] groups,experience [7] oligarchy,causes [7] causes,disadvantaged [7] trauma,chronic Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: