The graph represents a network of 3,208 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, 31 October 2021 at 05:56 UTC.
The requested start date was Sunday, 31 October 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 13-day, 7-hour, 30-minute period from Sunday, 17 October 2021 at 03:12 UTC to Saturday, 30 October 2021 at 10:42 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 : 3208
Unique Edges : 3215
Edges With Duplicates : 5460
Total Edges : 8675
Number of Edge Types : 5
Tweet : 1011
Retweet : 2060
MentionsInRetweet : 3554
Mentions : 1695
Replies to : 355
Self-Loops : 1034
Reciprocated Vertex Pair Ratio : 0.0564971751412429
Reciprocated Edge Ratio : 0.106951871657754
Connected Components : 409
Single-Vertex Connected Components : 153
Maximum Vertices in a Connected Component : 1729
Maximum Edges in a Connected Component : 5672
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.930788
Graph Density : 0.000454410434779904
Modularity : 0.514622
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,208 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, 31 October 2021 at 05:56 UTC.
The requested start date was Sunday, 31 October 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 13-day, 7-hour, 30-minute period from Sunday, 17 October 2021 at 03:12 UTC to Saturday, 30 October 2021 at 10:42 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:
[258] social,determinants [227] determinants,health [147] health,equity [87] #healthequity,#sdoh [86] rio,political [86] political,declaration [81] #sdoh,#healthequity [76] global,health [70] 10th,anniversary [69] anniversary,rio Top Word Pairs in Tweet in G1:
[86] rio,political [86] political,declaration [70] 10th,anniversary [69] anniversary,rio [47] journal,urban [47] urban,health [32] health,equity [30] 3dcommission's,supplement [30] supplement,journal [30] health,articles Top Word Pairs in Tweet in G2:
[8] у,меня [8] mr,macher [8] sorry,mr [7] я,не [6] macher,sorry [5] что,я [5] ту,ту [4] что,там [4] тот,самый [4] set,lyrics Top Word Pairs in Tweet in G3:
[62] #sdoh,impact [57] determinants,health [56] social,determinants [55] niehs,alzheimers_nih [55] learn,#sdoh [54] join,nimhd [54] nimhd,niehs [54] alzheimers_nih,niaidnews [54] niaidnews,learn [54] impact,#ruralhealth Top Word Pairs in Tweet in G4:
[17] more,focus [15] top,#healthcare [15] #healthcare,improvements [15] improvements,more [15] focus,#prevention [15] #prevention,#wholepersoncare [15] #wholepersoncare,#sdoh [15] #sdoh,#nutrition [15] #nutrition,#exercise [14] irmaraste,top Top Word Pairs in Tweet in G5:
[23] social,determinants [21] determinants,health [8] public,health [7] health,equity [7] learn,more [7] health,care [7] health,sdoh [6] #healthequity,#sdoh [6] sdoh,data [6] سـي,ـفـى Top Word Pairs in Tweet in G6:
[30] #sdoh,#hiap [23] #pdoh,#sdoh [19] #hiap,#interdependence [18] determinants,health [16] physicians,codes [16] document,track [16] track,delayed [16] delayed,changed [16] changed,abandoned [16] care,due Top Word Pairs in Tweet in G7:
[10] #healthequity,#sdoh [8] whoa,great [8] great,outcomes [8] outcomes,adding [8] adding,quickly [8] quickly,growing [8] growing,body [8] body,evidence [8] evidence,sdoh [8] sdoh,interventions Top Word Pairs in Tweet in G8:
[15] social,determinants [9] climate,change [9] sdoh,caucus [8] excited,3mhisnews [8] 3mhisnews,inside [8] inside,angle [8] angle,podcast [8] podcast,spoke [8] spoke,lgordonmooremd [8] lgordonmooremd,#paymentreform Top Word Pairs in Tweet in G9:
[66] health,equity [64] global,health [61] equity,week [25] #healthequity,#sdoh [23] himss,global [19] #sdoh,#populationhealth [18] best,practices [17] celebrating,global [17] #healthequity,insights [16] join,celebrating Top Word Pairs in Tweet in G10:
[26] many,canadians [26] canadians,disabilities [26] disabilities,struggle [26] struggle,secure [26] secure,benefits [26] benefits,lift [26] lift,#poverty [26] #poverty,promise [25] picardonhealth,many [25] promise,#canadadi 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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