The graph represents a network of 1,685 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, 11 September 2022 at 05:52 UTC.
The requested start date was Sunday, 11 September 2022 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, 7-hour, 16-minute period from Sunday, 28 August 2022 at 02:58 UTC to Friday, 09 September 2022 at 10:14 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 : 1685
Unique Edges : 1320
Edges With Duplicates : 1912
Total Edges : 3232
Number of Edge Types : 5
Retweet : 750
MentionsInRetweet : 1033
Tweet : 521
Mentions : 755
Replies to : 173
Self-Loops : 547
Reciprocated Vertex Pair Ratio : 0.0526008182349503
Reciprocated Edge Ratio : 0.0999444752915047
Connected Components : 328
Single-Vertex Connected Components : 142
Maximum Vertices in a Connected Component : 534
Maximum Edges in a Connected Component : 1224
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 6.671383
Graph Density : 0.000634704709008507
Modularity : 0.559228
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,685 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, 11 September 2022 at 05:52 UTC.
The requested start date was Sunday, 11 September 2022 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, 7-hour, 16-minute period from Sunday, 28 August 2022 at 02:58 UTC to Friday, 09 September 2022 at 10:14 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:
[178] social,determinants [172] determinants,health [54] health,equity [48] life,expectancy [41] trafficking,operation [40] scioto,county [38] final,defendant [38] defendant,scioto [38] county,human [38] human,trafficking Top Word Pairs in Tweet in G1:
[38] social,determinants [33] determinants,health [17] health,sdoh [9] health,care [6] #sdoh,#healthequity [5] health,outcomes [5] health,equity [5] well,being [4] sdoh,conditions [4] work,play Top Word Pairs in Tweet in G2:
[32] determinants,health [31] social,determinants [16] #healthunabashed,dr [16] dr,kate [16] kate,merton [16] merton,katherinemerton [16] #chicagoarc,health [16] health,innovation [16] innovation,venture [16] health,#sdoh Top Word Pairs in Tweet in G3:
[9] ðµð,ðµñ [8] ðµñ,ñœ [8] ðµð,ðµð [7] ðµð,ñœð [7] ðµñ,ðµð [6] ðµñ,ðµñ [6] с,тобой [6] ðºð,ðµð [6] ðµ,ðµð [5] ñƒ,ðºð Top Word Pairs in Tweet in G4:
[6] emily_baum,nytimes [6] project,bread [6] bread,takes [6] takes,aim [6] aim,fight [6] fight,against [6] against,food [6] food,insecurity [6] insecurity,worcester [6] worcester,#sdoh Top Word Pairs in Tweet in G5:
[7] #sdoh,data [6] social,determinants [6] #healthcare,organizations [5] determinants,health [4] friday,september [4] collecting,analyzing [4] health,equity [3] chief,strategy [3] strategy,solutions [3] solutions,officer Top Word Pairs in Tweet in G6:
[10] #sdoh,#auspol [9] stories,frontlines [9] frontlines,low [9] low,jobseeker [9] jobseeker,rate [9] rate,health [9] health,hazard [9] hazard,#sdoh [8] melissasweetdr,stories [8] #auspol,frâ Top Word Pairs in Tweet in G7:
[24] address,#heartdisease [24] #heartdisease,mortality [24] mortality,rates [24] rates,young [24] young,women [24] women,crucial [24] crucial,#jacc [24] #jacc,piece [24] piece,dr [24] dr,minissianm Top Word Pairs in Tweet in G8:
[4] icymi,#webinar [4] #webinar,learn [4] learn,addressing [4] addressing,structural [4] structural,drivers [4] drivers,#healthequity [4] #healthequity,defined [4] defined,communities [3] same,communities [3] #healthequity,#sdoh Top Word Pairs in Tweet in G9:
[8] andrewdpinto,great [8] great,article [8] article,armineyalnizyan [8] armineyalnizyan,torontostar [8] torontostar,benefits [8] benefits,free [8] free,very [8] very,very [8] very,cheap [8] cheap,transit Top Word Pairs in Tweet in G10:
[38] life,expectancy [30] expectancy,falls [30] falls,again [30] again,historic [30] historic,setback [30] setback,decline [30] decline,during [30] during,pandemic [30] pandemic,sharpest [30] sharpest,nearly 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: