The graph represents a network of 3,382 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, 25 April 2021 at 05:56 UTC.
The requested start date was Sunday, 25 April 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, 12-minute period from Sunday, 11 April 2021 at 00:15 UTC to Friday, 23 April 2021 at 12:27 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 : 3382
Unique Edges : 2425
Edges With Duplicates : 5959
Total Edges : 8384
Number of Edge Types : 5
Tweet : 1096
Replies to : 574
Mentions : 1515
Retweet : 2174
MentionsInRetweet : 3025
Self-Loops : 1131
Reciprocated Vertex Pair Ratio : 0.0583667334669339
Reciprocated Edge Ratio : 0.110295857988166
Connected Components : 387
Single-Vertex Connected Components : 148
Maximum Vertices in a Connected Component : 2020
Maximum Edges in a Connected Component : 5091
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.132703
Graph Density : 0.000369494466853154
Modularity : 0.486329
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,382 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, 25 April 2021 at 05:56 UTC.
The requested start date was Sunday, 25 April 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, 12-minute period from Sunday, 11 April 2021 at 00:15 UTC to Friday, 23 April 2021 at 12:27 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:
[235] social,determinants [207] determinants,health [137] determinant,health [132] #covid19,#sdoh [124] politics,#1 [124] #1,determinant [124] health,#onpoli [124] #onpoli,#covid19 [123] ritikagoelto,politics [67] health,care Top Word Pairs in Tweet in G1:
[17] covid,19 [16] study,police [16] police,killings [16] killings,declined [16] declined,cities [16] cities,black [16] black,lives [16] lives,matter [16] matter,protests [16] protests,took Top Word Pairs in Tweet in G2:
[44] spread,spread [36] baked,foundation' [36] foundation',toronto [36] toronto,neighbourhoods [36] neighbourhoods,highest [36] highest,numbers [36] numbers,racialized [36] racialized,people [35] picardonhealth,'equity [35] 'equity,baked Top Word Pairs in Tweet in G3:
[116] politics,#1 [116] #1,determinant [116] determinant,health [116] health,#onpoli [116] #onpoli,#covid19 [116] #covid19,#sdoh [115] ritikagoelto,politics [31] paid,sick [31] sick,days [16] ontario,finally Top Word Pairs in Tweet in G4:
[23] social,determinants [22] determinants,health [11] health,literacy [10] sdoh,health [9] key,sdoh [7] health,#sdoh [7] public,health [7] health,outcomes [6] health,care [6] health,sdoh Top Word Pairs in Tweet in G5:
[13] drkalibarrett,#sdoh [12] access,#telehealth [10] improve,health [8] determinants,health [8] #sdoh,#covid19 [8] expect,2021 [8] 2021,#healthcare [8] #healthcare,#digitalhealth [8] #digitalhealth,part [8] part,#covid19 Top Word Pairs in Tweet in G6:
[12] health,literacy [11] integrating,#sdoh [11] #sdoh,clinical [11] clinical,management [11] improve,outcomes [9] key,sdoh [9] sdoh,health [8] listening,drleanawen [8] drleanawen,#collisionconf [8] #collisionconf,talk Top Word Pairs in Tweet in G7:
[16] ultimate_puddle,hochu_zhabu [14] hochu_zhabu,apelsin_voskres [12] я,не [12] mandarin_sdoh,hochu_zhabu [9] у,меня [6] не,могу [5] мне,плохо [5] #майоргром,#мгчд [4] потому,что [4] и,я Top Word Pairs in Tweet in G8:
[10] compelling,key [10] key,sdoh [10] sdoh,health [10] health,literacy [10] literacy,drhowardliu [10] drhowardliu,andydrc [10] andydrc,epflcswccm [10] epflcswccm,ujjram [10] ujjram,kyblueblood [10] kyblueblood,pkanagaratnam Top Word Pairs in Tweet in G9:
[52] у,меня [25] я,не [21] чжун,ли [17] я,просто [13] как,я [13] гань,юй [13] из,за [12] я,хочу [12] ну,тип [12] bulka_no_sdoh,artistjanai Top Word Pairs in Tweet in G10:
[26] published,last [26] last,worth [26] worth,re [26] re,reading [26] reading,run [26] run,federal [26] federal,budget [26] budget,poorest [26] poorest,australians [26] australians,twice 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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