The graph represents a network of 2,888 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, 10 October 2021 at 05:57 UTC.
The requested start date was Sunday, 10 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, 10-hour, 43-minute period from Sunday, 26 September 2021 at 00:04 UTC to Saturday, 09 October 2021 at 10:47 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 : 2888
Unique Edges : 2507
Edges With Duplicates : 5050
Total Edges : 7557
Number of Edge Types : 5
Retweet : 1691
MentionsInRetweet : 2493
Tweet : 1095
Mentions : 1653
Replies to : 625
Self-Loops : 1127
Reciprocated Vertex Pair Ratio : 0.0673665791776028
Reciprocated Edge Ratio : 0.126229508196721
Connected Components : 400
Single-Vertex Connected Components : 160
Maximum Vertices in a Connected Component : 1213
Maximum Edges in a Connected Component : 3510
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.411199
Graph Density : 0.000438972296290468
Modularity : 0.474334
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,888 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, 10 October 2021 at 05:57 UTC.
The requested start date was Sunday, 10 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, 10-hour, 43-minute period from Sunday, 26 September 2021 at 00:04 UTC to Saturday, 09 October 2021 at 10:47 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:
[211] social,determinants [198] determinants,health [82] crimes,related [81] war,against [81] police,officers [81] officers,charged [81] charged,crimes [81] related,distributing [81] kilograms,fentanyl [80] #healthequity,#healthequality Top Word Pairs in Tweet in G1:
[26] social,determinants [26] determinants,health [8] health,equity [8] #sdoh,#healthequity [7] #healthequity,#sdoh [7] sdoh,data [6] health,sdoh [6] health,#sdoh [5] learn,more [5] #nurs360,#w6 Top Word Pairs in Tweet in G2:
[40] спать,спать [38] apelsin_voskres,crazy_huezy [29] apelsin_voskres,mandarin_sdoh [27] crazy_huezy,mandarin_sdoh [18] у,меня [17] ðµñ,ñœ [17] ðµ,ðµð [17] mandarin_sdoh,crazy_huezy [16] crazy_huezy,apelsin_voskres [15] ðºð,ðºð Top Word Pairs in Tweet in G3:
[78] war,against [64] first,task [64] task,doctor [64] struggle,against [64] against,disease [64] disease,begin [64] begin,war [64] against,bad [64] bad,policy [62] œthe,first Top Word Pairs in Tweet in G4:
[10] closing,plenary [10] plenary,speaker [10] speaker,dr_tonyiton [10] dr_tonyiton,calendow [10] calendow,explore [10] explore,strength [10] strength,relationship [10] relationship,between [10] between,life [10] life,expectancy Top Word Pairs in Tweet in G5:
[15] social,determinants [12] determinants,health [9] need,more [9] addressing,#sdoh [8] #healthequity,#sdoh [7] learn,more [7] adults,know [7] know,communities [7] communities,need [7] more,#healthcare Top Word Pairs in Tweet in G6:
[30] ãƒ,ム[12] #genshinimpact,#原神 [6] ðµð,ñœ [6] ãƒ,èª [6] èª,ç [5] sketch,final [4] я,могу [4] ñœ,ðµð [4] ðº,ðµð [4] #xingqiu,#chongyun Top Word Pairs in Tweet in G7:
[80] sdohnews,columbus [79] crimes,related [78] police,officers [78] officers,charged [78] charged,crimes [78] related,distributing [78] kilograms,fentanyl [77] columbus,police [77] distributing,kilograms [14] leesgirl9,clearing_fog Top Word Pairs in Tweet in G8:
[12] social,determinants [11] determinants,health [10] #socialdeterminantsofhealth,#sdoh [8] rethinking,juvenile [8] juvenile,justice [8] justice,santa [8] santa,barbara [8] barbara,county [8] county,#sdoh [8] #sdoh,andydrc Top Word Pairs in Tweet in G9:
[10] health,equity [8] health,care [6] sdoh,data [6] t4,empathetic [6] empathetic,thoughts [6] thoughts,great [6] great,empathetic [6] empathetic,actions [6] actions,better [6] better,we've Top Word Pairs in Tweet in G10:
[32] social,determinants [32] determinants,health [20] health,#sdoh [18] #sdoh,key [18] key,long [18] long,term [18] term,strategy [18] strategy,address [18] address,#healthinequities [18] #healthinequities,explore Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: