The graph represents a network of 3,133 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, 02 May 2021 at 05:56 UTC.
The requested start date was Sunday, 02 May 2021 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, 12-hour, 11-minute period from Sunday, 18 April 2021 at 00:12 UTC to Friday, 30 April 2021 at 12:24 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 : 3133
Unique Edges : 2390
Edges With Duplicates : 5655
Total Edges : 8045
Number of Edge Types : 5
Replies to : 631
Mentions : 1486
Retweet : 1980
MentionsInRetweet : 2806
Tweet : 1142
Self-Loops : 1166
Reciprocated Vertex Pair Ratio : 0.0587297369120383
Reciprocated Edge Ratio : 0.110943775100402
Connected Components : 360
Single-Vertex Connected Components : 138
Maximum Vertices in a Connected Component : 1828
Maximum Edges in a Connected Component : 4729
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 6.812541
Graph Density : 0.00040601042174944
Modularity : 0.478176
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,133 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, 02 May 2021 at 05:56 UTC.
The requested start date was Sunday, 02 May 2021 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, 12-hour, 11-minute period from Sunday, 18 April 2021 at 00:12 UTC to Friday, 30 April 2021 at 12:24 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:
[216] social,determinants [193] determinants,health [132] #covid19,#sdoh [130] determinant,health [124] politics,#1 [124] #1,determinant [124] health,#onpoli [124] #onpoli,#covid19 [123] ritikagoelto,politics [84] public,health Top Word Pairs in Tweet in G1:
[15] social,determinants [15] health,disparities [15] address,#sdoh [14] determinants,health [14] health,outcomes [10] #sdoh,#healthequity [10] health,care [9] finding,effective [9] effective,ways [9] ways,address Top Word Pairs in Tweet in G2:
[16] social,determinants [16] determinants,health [10] referral,system [9] t1,sdoh [9] sdoh,cause [9] cause,incredible [9] incredible,harm [9] harm,patients [9] patients,someone [9] someone,take Top Word Pairs in Tweet in G3:
[27] one,way [27] way,people [27] people,streets [27] streets,buy [27] buy,hotels [27] hotels,homeless [27] homeless,people [27] people,place [27] place,live [27] live,life Top Word Pairs in Tweet in G4:
[117] politics,#1 [117] #1,determinant [117] determinant,health [117] health,#onpoli [117] #onpoli,#covid19 [117] #covid19,#sdoh [116] ritikagoelto,politics [30] paid,sick [30] sick,days [15] ontario,finally Top Word Pairs in Tweet in G5:
[11] mandarin_sdoh,я [10] я,не [9] потому,что [9] fre1dyke,mandarin_sdoh [7] mandarin_sdoh,alkozhaba [7] apelsin_voskres,mandarin_sdoh [6] у,меня [6] я,просто [6] josh,fight [6] волк,с Top Word Pairs in Tweet in G6:
[21] social,determinants [21] determinants,health [9] health,sdoh [7] health,outcomes [7] #healthequity,#sdoh [7] public,health [6] community,based [5] learn,more [5] health,#sdoh [5] 29,#webinar Top Word Pairs in Tweet in G7:
[19] study,police [19] police,killings [19] killings,declined [19] declined,cities [19] cities,black [19] black,lives [19] lives,matter [19] matter,protests [19] protests,took [19] took,place Top Word Pairs in Tweet in G8:
[30] trade,secrets [29] conspiring,steal [28] prison,conspiring [28] steal,trade [27] charged,embezzling [27] hospital,researcher [27] researcher,sentenced [27] sentenced,prison [27] secrets,sell [27] sell,china Top Word Pairs in Tweet in G9:
[18] indeed,placing [18] placing,emphasis [18] emphasis,individual [18] individual,programs [18] programs,ok [18] ok,allows [18] allows,government [18] government,ignore [18] ignore,drivers [17] bluntshovels,indeed Top Word Pairs in Tweet in G10:
[67] #pdoh,#sdoh [17] #interdependence,#pdoh [15] public,health [10] health,disparities [10] #sdoh,#interdependence [10] become,more [9] social,determinants [9] determinants,health [9] whether,public [9] health,field 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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