The graph represents a network of 3,628 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, 30 August 2020 at 05:24 UTC.
The requested start date was Sunday, 30 August 2020 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, 23-hour, 34-minute period from Sunday, 16 August 2020 at 00:12 UTC to Saturday, 29 August 2020 at 23:46 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 : 3628
Unique Edges : 3027
Edges With Duplicates : 6469
Total Edges : 9496
Number of Edge Types : 5
Tweet : 1241
Retweet : 2369
MentionsInRetweet : 3507
Mentions : 1720
Replies to : 659
Self-Loops : 1262
Reciprocated Vertex Pair Ratio : 0.0549474605954466
Reciprocated Edge Ratio : 0.104170989831915
Connected Components : 406
Single-Vertex Connected Components : 166
Maximum Vertices in a Connected Component : 2022
Maximum Edges in a Connected Component : 5654
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.027915
Graph Density : 0.000366220028701801
Modularity : 0.487372
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,628 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, 30 August 2020 at 05:24 UTC.
The requested start date was Sunday, 30 August 2020 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, 23-hour, 34-minute period from Sunday, 16 August 2020 at 00:12 UTC to Saturday, 29 August 2020 at 23:46 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:
[271] social,determinants [260] determinants,health [127] public,health [104] health,#sdoh [100] instead,field [100] field,trips [100] trips,playground [100] playground,equipment [100] equipment,parents [100] parents,raising Top Word Pairs in Tweet in G1:
[100] instead,field [100] field,trips [100] trips,playground [100] playground,equipment [100] equipment,parents [100] parents,raising [100] raising,money [100] money,plexiglass [100] plexiglass,shields [100] shields,cleaning Top Word Pairs in Tweet in G2:
[13] mandarin_sdoh,я [12] из,за [12] у,меня [10] я,не [10] не,знаю [10] но,я [9] я,в [9] и,я [9] mandarin_sdoh,ты [8] кто,то Top Word Pairs in Tweet in G3:
[33] social,determinants [31] determinants,health [28] public,health [24] health,crisis [18] healthy,people [18] racism,public [17] well,being [17] study,denmark [17] denmark,reports [17] reports,repeated Top Word Pairs in Tweet in G4:
[20] social,determinants [19] determinants,health [11] greater,risk [11] impact,health [9] major,impact [9] health,plan [9] plan,member [9] member,outcomes [9] time,shift [9] shift,ai Top Word Pairs in Tweet in G5:
[41] #pdoh,#sdoh [28] covid,19 [24] #sdoh,#pdoh [19] #sdoh,#hiap [18] #covid19,#sdoh [18] policy,responses [18] follow,#govern4health [17] public,health [17] australia,covid [17] 19,policy Top Word Pairs in Tweet in G6:
[20] health,equity [18] time,act [18] act,know [18] know,80 [18] 80,90 [18] 90,health [18] health,wellbeing [18] wellbeing,determined [18] determined,factors [18] factors,outside Top Word Pairs in Tweet in G7:
[67] researchers,studying [67] studying,#minorityhealth [67] #minorityhealth,#healthdisparities [67] #healthdisparities,nimhd [67] nimhd,social [67] social,determinants [67] determinants,health [67] health,#sdoh [67] #sdoh,assessments [66] nimhd,researchers Top Word Pairs in Tweet in G8:
[44] buzzwords,world [44] world,value [44] value,based [44] based,care [44] care,ml [44] ml,nlp [44] nlp,ai [44] ai,patient [44] patient,centered [44] centered,consumerism Top Word Pairs in Tweet in G9:
[18] #healthequity,#sdoh [11] #greenrecovery,#greennewdeal [10] #mentalhealth,#sdoh [9] love,connect [9] covid,19 [9] dr,trevor [9] trevor,hancock [9] hancock,#asi2020 [9] #upstream,#mentalhealth [8] social,determinants Top Word Pairs in Tweet in G10:
[17] 40,health [17] health,care [17] care,costs [17] costs,driven [17] driven,#sdoh [17] #sdoh,watch [17] watch,panel [17] panel,uhccs [17] uhccs,experts [17] experts,details 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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