The graph represents a network of 3,003 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, 07 November 2021 at 05:57 UTC.
The requested start date was Sunday, 07 November 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, 9-hour, 57-minute period from Sunday, 24 October 2021 at 00:19 UTC to Saturday, 06 November 2021 at 10:17 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 : 3003
Unique Edges : 2717
Edges With Duplicates : 5251
Total Edges : 7968
Number of Edge Types : 5
Retweet : 1940
MentionsInRetweet : 3043
Replies to : 443
Mentions : 1488
Tweet : 1054
Self-Loops : 1081
Reciprocated Vertex Pair Ratio : 0.0591299817660849
Reciprocated Edge Ratio : 0.111657648794884
Connected Components : 408
Single-Vertex Connected Components : 179
Maximum Vertices in a Connected Component : 1525
Maximum Edges in a Connected Component : 4876
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.841814
Graph Density : 0.000451025767481464
Modularity : 0.496711
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,003 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, 07 November 2021 at 05:57 UTC.
The requested start date was Sunday, 07 November 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, 9-hour, 57-minute period from Sunday, 24 October 2021 at 00:19 UTC to Saturday, 06 November 2021 at 10:17 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:
[243] social,determinants [221] determinants,health [132] health,equity [108] health,outcomes [85] #healthequity,#sdoh [76] chinese,government [71] health,#sdoh [70] addition,biological [70] biological,differences [70] differences,#sdoh Top Word Pairs in Tweet in G1:
[40] journal,urban [40] urban,health [36] determinants,health [32] social,determinants [30] 3dcommission's,supplement [30] supplement,journal [30] health,articles [26] supplement,paper [26] paper,led [25] articles,contribute Top Word Pairs in Tweet in G2:
[26] address,#sdoh [24] great,time [24] time,speaking [24] speaking,sbinimd [24] sbinimd,dhealthtoday [24] dhealthtoday,#telemedicine [24] #telemedicine,bridge [24] bridge,gaps [24] gaps,care [24] care,address Top Word Pairs in Tweet in G3:
[27] social,determinants [27] determinants,health [20] ù,ù [9] public,health [9] #sdoh,#healthequity [7] health,sdoh [7] ù,ø [7] trade,secrets [6] learn,more [6] health,#sdoh Top Word Pairs in Tweet in G4:
[13] ðµð,ðµð [12] ðµ,ðºð [12] ðµñ,ðµð [11] ñƒð,ðµñ [10] ðµð,ñœ [10] ðµð,ðµ [10] ðºð,ðµð [9] ðµð,ðºð [8] у,меня [8] mr,macher Top Word Pairs in Tweet in G5:
[25] doctor,dad [25] dad,teen [25] teen,know [25] know,#climatechange [25] #climatechange,already [25] already,harms [25] harms,health [25] health,youth [25] youth,climate [25] climate,activist Top Word Pairs in Tweet in G6:
[52] determinants,health [51] social,determinants [28] virtual,conversation [28] conversation,social [21] facebook,live [18] health,#sdoh [17] 2021,nih [17] nih,#ruralhealth [17] #ruralhealth,seminar [17] seminar,structural Top Word Pairs in Tweet in G7:
[70] health,outcomes [69] addition,biological [69] biological,differences [69] differences,#sdoh [69] #sdoh,contribute [69] contribute,disparities [69] disparities,cv [69] cv,health [69] outcomes,women [69] women,many Top Word Pairs in Tweet in G8:
[15] social,determinants [10] determinants,health [7] #sdoh,#sdomh [5] #sdoh,#healthequity [5] mental,health [4] health,equity [4] risehlth,aligning4health [4] address,sdoh [4] seema,verma [3] geopsychiatry,bmjleader Top Word Pairs in Tweet in G9:
[51] espionage,crimes [51] crimes,attempting [51] attempting,steal [45] steal,trade [45] trade,secrets [45] secrets,cincinnati [45] cincinnati,company [44] jury,convicts [44] convicts,chinese [44] chinese,official Top Word Pairs in Tweet in G10:
[51] health,equity [50] global,health [47] equity,week [22] #healthequity,#sdoh [17] #sdoh,#populationhealth [17] celebrating,global [17] #healthequity,insights [16] join,celebrating [16] week,help [16] help,lead 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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