The graph represents a network of 2,755 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, 16 May 2021 at 05:55 UTC.
The requested start date was Sunday, 16 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, 10-hour, 41-minute period from Sunday, 02 May 2021 at 00:40 UTC to Friday, 14 May 2021 at 11:21 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 : 2755
Unique Edges : 2483
Edges With Duplicates : 6112
Total Edges : 8595
Number of Edge Types : 5
Tweet : 990
Retweet : 1676
MentionsInRetweet : 2774
Mentions : 2274
Replies to : 881
Self-Loops : 1004
Reciprocated Vertex Pair Ratio : 0.0727222067428253
Reciprocated Edge Ratio : 0.135584415584416
Connected Components : 337
Single-Vertex Connected Components : 123
Maximum Vertices in a Connected Component : 1510
Maximum Edges in a Connected Component : 4507
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.828927
Graph Density : 0.000507428890760445
Modularity : 0.422906
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,755 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, 16 May 2021 at 05:55 UTC.
The requested start date was Sunday, 16 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, 10-hour, 41-minute period from Sunday, 02 May 2021 at 00:40 UTC to Friday, 14 May 2021 at 11:21 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:
[239] social,determinants [209] determinants,health [118] special,initiative [86] cheesero11,artistjanai [85] health,equity [71] action,#sdoh [67] public,health [67] fairer,healthier [63] ve,called [63] called,hot Top Word Pairs in Tweet in G1:
[61] ve,called [61] called,hot [61] hot,spots [61] spots,actually [61] actually,code [61] code,social [61] social,inequity [61] inequity,kenyonwallace [60] picardonhealth,ve [21] urgent,matter Top Word Pairs in Tweet in G2:
[24] public,health [18] health,equity [14] covid,19 [11] health,care [11] advancing,health [10] #sdoh,#sdomh [10] fact,sheets [10] sheets,georgetownccf [10] georgetownccf,detail [10] detail,workers Top Word Pairs in Tweet in G3:
[114] special,initiative [87] social,determinants [74] determinants,health [64] fairer,healthier [58] action,#sdoh [52] initiative,action [51] come,work [51] work,help [51] help,build [51] build,fairer Top Word Pairs in Tweet in G4:
[41] шкряб,шкряб [40] mandarin_sdoh,spb__l [36] alkozhaba,spb__l [27] apelsin_voskres,spb__l [27] mandarin_sdoh,apelsin_voskres [25] alkozhaba,apelsin_voskres [24] я,не [24] spb__l,alkozhaba [21] alkozhaba,mandarin_sdoh [20] mandarin_sdoh,alkozhaba Top Word Pairs in Tweet in G5:
[22] social,determinants [19] determinants,health [6] health,equity [5] health,sdoh [5] tax,mandate [4] learn,more [4] address,#sdoh [4] improve,health [4] find,more [4] sdoh,finds Top Word Pairs in Tweet in G6:
[29] imagine,australian [29] australian,2021 [29] 2021,budget [29] budget,joshfrydenberg [29] joshfrydenberg,included [29] included,funding [29] funding,social [29] social,protection [29] protection,child [29] child,care Top Word Pairs in Tweet in G7:
[9] social,determinants [8] determinants,health [7] retrofit,reform [7] #ahrq's,social [6] covid,19 [5] reform,reimagine [5] fantastic,lineup [5] lineup,tomorrow's [5] tomorrow's,symposium [5] symposium,wait Top Word Pairs in Tweet in G8:
[14] #sdoh,data [9] #healthequity,#sdoh [9] virtual,mini [9] mini,conference [8] sdoh,data [8] data,ehrs [8] annual,meeting [6] data,standards [6] plans,address [6] address,#sdoh Top Word Pairs in Tweet in G9:
[6] #health,systems [6] impact,#sdoh [5] health,equity [4] social,determinants [3] systems,face [3] face,#interoperability [3] #interoperability,issues [3] issues,implementing [3] implementing,#sdoh [3] #sdoh,#ehr Top Word Pairs in Tweet in G10:
[86] cheesero11,artistjanai [54] sombrer72340836,cheesero11 [49] bulka_no_sdoh,sombrer72340836 [45] im_not_yourtoy,cheesero11 [41] mak0tosgf,bulka_no_sdoh [39] sombrer72340836,artistjanai [36] bulka_no_sdoh,im_not_yourtoy [29] cheesero11,mak0tosgf [26] mak0tosgf,sombrer72340836 [25] у,меня 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: