The graph represents a network of 3,195 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, 18 April 2021 at 05:57 UTC.
The requested start date was Sunday, 18 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, 8-minute period from Sunday, 04 April 2021 at 00:16 UTC to Friday, 16 April 2021 at 12:25 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 : 3195
Unique Edges : 2455
Edges With Duplicates : 5746
Total Edges : 8201
Number of Edge Types : 5
Retweet : 1939
MentionsInRetweet : 2710
Replies to : 747
Mentions : 1556
Tweet : 1249
Self-Loops : 1277
Reciprocated Vertex Pair Ratio : 0.0559591068065644
Reciprocated Edge Ratio : 0.105987261146497
Connected Components : 409
Single-Vertex Connected Components : 140
Maximum Vertices in a Connected Component : 1469
Maximum Edges in a Connected Component : 3728
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.806142
Graph Density : 0.000384621791837787
Modularity : 0.472661
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,195 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, 18 April 2021 at 05:57 UTC.
The requested start date was Sunday, 18 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, 8-minute period from Sunday, 04 April 2021 at 00:16 UTC to Friday, 16 April 2021 at 12:25 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:
[234] social,determinants [205] determinants,health [107] essential,workers [84] need,shut [84] shut,things [84] things,down [84] down,bring [84] bring,vaccines [84] vaccines,factories [84] factories,essential Top Word Pairs in Tweet in G1:
[26] gt,gt [19] у,меня [16] #поддержитемайорагрома,#мгчд [16] ultimate_puddle,hochu_zhabu [14] чумной,доктор [14] hochu_zhabu,apelsin_voskres [13] майор,гром [12] mandarin_sdoh,hochu_zhabu [11] гром,чумной [11] #майоргром,#мгчд Top Word Pairs in Tweet in G2:
[19] social,determinants [18] everyone,deserves [17] deserves,opportunity [17] opportunity,reach [17] reach,best [17] best,health [17] factsheet,series [17] series,examines [17] examines,#sdoh [16] health,publichealth's Top Word Pairs in Tweet in G3:
[17] covid,19 [15] public,health [12] call,fact [12] fact,same [12] same,sdoh [12] sdoh,contributing [12] contributing,inequities [12] inequities,covid [12] 19,drive [12] drive,similar Top Word Pairs in Tweet in G4:
[23] social,determinants [22] determinants,health [11] learn,more [10] data,challenges [9] challenges,sdoh [9] sdoh,overcome [7] health,sdoh [6] health,#sdoh [5] public,health [4] low,income Top Word Pairs in Tweet in G5:
[33] crossing,vaccinated [33] vaccinated,borders [33] borders,everyday [33] everyday,still [33] still,unvaccinated [33] unvaccinated,truck [33] truck,drivers [33] drivers,more [33] more,half [33] half,south Top Word Pairs in Tweet in G6:
[81] need,shut [81] shut,things [81] things,down [81] down,bring [81] bring,vaccines [81] vaccines,factories [81] factories,essential [81] essential,workers [81] workers,vaccinate [81] vaccinate,everyone Top Word Pairs in Tweet in G7:
[19] minority,populations [18] pophealth,minute [18] population,health [18] addition,facing [18] facing,language [18] language,barriers [18] barriers,many [18] many,minority [18] populations,distrust [18] distrust,healthcare Top Word Pairs in Tweet in G8:
[20] social,determinants [19] determinants,health [14] ceo,abnermason [8] referral,system [7] stateofreform,federal [7] join,ceo [7] abnermason,paurvibhatt [7] paurvibhatt,mdtfoundation [7] mdtfoundation,kristinefortman [7] kristinefortman,mhif_heart Top Word Pairs in Tweet in G9:
[17] social,determinants [17] determinants,health [13] rahul,sharma [12] sharma,ceo [10] ceo,hsblox [9] platform,company [9] company,walks [8] hsblox,social [8] health,platform [8] walks,obstacles Top Word Pairs in Tweet in G10:
[28] precarious,employment [28] mental,health [27] co,investigator [27] investigator,research [27] research,team [27] team,studying [27] studying,precarious [27] employment,mental [27] health,ontario [27] ontario,context 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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Top Tweeters in G10: