The graph represents a network of 2,256 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, 05 December 2021 at 06:55 UTC.
The requested start date was Sunday, 05 December 2021 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 13-day, 9-hour, 49-minute period from Sunday, 21 November 2021 at 01:17 UTC to Saturday, 04 December 2021 at 11:06 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 : 2256
Unique Edges : 1993
Edges With Duplicates : 3914
Total Edges : 5907
Number of Edge Types : 5
Tweet : 1067
Replies to : 388
Retweet : 1415
MentionsInRetweet : 2221
Mentions : 816
Self-Loops : 1084
Reciprocated Vertex Pair Ratio : 0.0487629974901398
Reciprocated Edge Ratio : 0.092991452991453
Connected Components : 318
Single-Vertex Connected Components : 146
Maximum Vertices in a Connected Component : 921
Maximum Edges in a Connected Component : 2282
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.237504
Graph Density : 0.00057496343822239
Modularity : 0.497859
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,256 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, 05 December 2021 at 06:55 UTC.
The requested start date was Sunday, 05 December 2021 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 13-day, 9-hour, 49-minute period from Sunday, 21 November 2021 at 01:17 UTC to Saturday, 04 December 2021 at 11:06 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:
[167] #covid19,#sdoh [150] #sdoh,review [150] case,study [150] study,example [150] example,one [149] one,protected [142] review,published [142] published,next [142] next,tuesday [142] tuesday,provide Top Word Pairs in Tweet in G1:
[14] #arcane,#silco [14] #silco,#jinx [9] у,меня [9] я,не [8] documents,ex143 [8] ex143,elsewhere [8] #arcane,#viktor [8] ай,донт [7] а,потом [6] весёлый,камень Top Word Pairs in Tweet in G2:
[161] #covid19,#sdoh [147] #sdoh,review [147] case,study [147] study,example [147] example,one [146] one,protected [140] review,published [140] published,next [140] next,tuesday [140] tuesday,provide Top Word Pairs in Tweet in G3:
[23] canada,climate [23] climate,reckoning [23] reckoning,upon [23] upon,costs [23] costs,ignoring [23] ignoring,warnings [23] warnings,enormous [23] enormous,garymasonglobe [23] reduce,traffic [23] traffic,congestion Top Word Pairs in Tweet in G4:
[20] social,determinants [19] determinants,health [15] pandemic,shines [15] shines,brighter [15] brighter,light [15] light,need [15] need,sdoh [15] sdoh,innovation [12] #sdoh,#healthequity [7] health,equity Top Word Pairs in Tweet in G5:
[34] determinant,health [33] #pandemic,made [33] made,clear [33] clear,#broadband [33] #broadband,access [33] access,social [33] social,determinant [33] health,#digitalhealth [33] #digitalhealth,inclusion [32] jameyedwards,#pandemic Top Word Pairs in Tweet in G6:
[93] lovekbih,qocaine_ [93] qocaine_,thetaylorperrin [92] connollysgh0st,lovekbih Top Word Pairs in Tweet in G7:
[18] social,determinants [17] determinants,health [10] pleased,see [10] see,social [10] health,data [10] data,analysis [10] analysis,act [10] act,4026 [10] 4026,pass [10] pass,house Top Word Pairs in Tweet in G8:
[18] codes,document [17] delayed,changed [15] changed,abandoned [15] prior,authorization [15] authorization,rationing [14] care,due [13] insurer,prior [12] consequences,delayed [12] costs,#sdoh [11] physicians,codes Top Word Pairs in Tweet in G9:
[11] healthbegins,accepting [11] accepting,applications [11] applications,temporary [11] temporary,executive [11] executive,assistant [11] assistant,individual [11] individual,handle [11] handle,broad [11] broad,range [10] #healthequity,#sdoh Top Word Pairs in Tweet in G10:
[8] #genshinimpact,#原神 [6] enter,follow [5] good,luck [4] genshin,impact [4] impact,原神 [4] у,меня [4] надеюсь,этот [4] этот,спиритический [4] спиритический,круг [4] круг,сработает 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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