The graph represents a network of 2,011 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, 21 August 2022 at 05:52 UTC.
The requested start date was Sunday, 21 August 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, 10-hour, 37-minute period from Sunday, 07 August 2022 at 00:35 UTC to Friday, 19 August 2022 at 11:12 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 : 2011
Unique Edges : 1379
Edges With Duplicates : 2811
Total Edges : 4190
Number of Edge Types : 5
Tweet : 764
Replies to : 237
Retweet : 1048
MentionsInRetweet : 1361
Mentions : 780
Self-Loops : 775
Reciprocated Vertex Pair Ratio : 0.0399800099950025
Reciprocated Edge Ratio : 0.0768861124459395
Connected Components : 360
Single-Vertex Connected Components : 159
Maximum Vertices in a Connected Component : 528
Maximum Edges in a Connected Component : 1236
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.565839
Graph Density : 0.000514830125850113
Modularity : 0.512588
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,011 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, 21 August 2022 at 05:52 UTC.
The requested start date was Sunday, 21 August 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, 10-hour, 37-minute period from Sunday, 07 August 2022 at 00:35 UTC to Friday, 19 August 2022 at 11:12 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:
[199] social,determinants [161] determinants,health [101] sentenced,60 [89] stephen,wilson [84] wilson,sentenced [82] following,investigation [82] investigation,bexley [82] bexley,division [82] division,police [82] police,#fbi Top Word Pairs in Tweet in G1:
[39] social,determinants [35] determinants,health [14] learn,more [12] health,sdoh [11] health,literacy [9] address,sdoh [8] help,sdoh [7] #sdoh,#healthequity [7] venture,fund [7] fund,makes Top Word Pairs in Tweet in G2:
[13] #pathologic,#морутопия [8] чух,чух [6] будь,ласка [5] что,я [5] но,не [4] ще,один [4] я,не [4] за,теґ [4] ще,трохи [4] а,я Top Word Pairs in Tweet in G3:
[101] sentenced,60 [84] wilson,sentenced [82] following,investigation [82] investigation,bexley [82] bexley,division [82] division,police [82] police,#fbi [82] #fbi,stephen [82] stephen,wilson [82] 60,yrs Top Word Pairs in Tweet in G4:
[12] speakers,healthnet [12] healthnet,rihealth [12] learn,addressing [12] structural,drivers [11] join,#webinar [11] #webinar,speakers [11] rihealth,learn [9] health,equity [9] addressing,structural [8] drivers,#h Top Word Pairs in Tweet in G5:
[28] #sdoh,risk [25] healthy,people [25] people,2030 [23] risk,scores [19] social,determinants [18] healthgorilla's,#sdoh [18] spotlight,health [18] health,webinar [18] webinar,titled [18] titled,healthy Top Word Pairs in Tweet in G6:
[20] siren,sponsored [20] sponsored,rwjf [20] rwjf,funded [20] funded,amjprevmed [20] amjprevmed,supplement [20] supplement,features [20] features,studies [20] studies,patients' [20] patients',interest [20] interest,social Top Word Pairs in Tweet in G7:
[31] unexpected,consequence [31] consequence,#covid19 [31] #covid19,#poverty [31] #poverty,declined [31] declined,sharply [31] sharply,canada [31] canada,thanks [31] thanks,pandemic [31] pandemic,support [31] support,measures Top Word Pairs in Tweet in G8:
[43] hi,#medtwitter [23] #medtwitter,#psychtwitter [23] #psychtwitter,name [23] name,danielle [23] danielle,thrilled [23] thrilled,applying [23] applying,#psychiatry [23] #psychiatry,#match2023 [22] danielleanesta,hi [20] #medtwitter,thrilled Top Word Pairs in Tweet in G9:
[7] richardaferraro,jaccjournals [7] jaccjournals,ahajduczok [7] ahajduczok,noshreza [7] noshreza,andrewjsauer [7] andrewjsauer,sabouretcardio [7] sabouretcardio,mvaduganathan [7] mvaduganathan,dlbhattmd [4] gcfmd,richardaferraro [4] millions,more [4] more,americans Top Word Pairs in Tweet in G10:
[22] #pdoh,#sdoh [6] pleasure,being [6] being,part [6] part,team [6] team,created [6] created,infographic [6] infographic,highlights [6] highlights,importance [6] importance,addressing [5] azuravesta,pleasure 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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