The graph represents a network of 3,222 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 March 2021 at 05:57 UTC.
The requested start date was Sunday, 21 March 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, 12-hour, 22-minute period from Sunday, 07 March 2021 at 00:02 UTC to Saturday, 20 March 2021 at 12:25 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 : 3222
Unique Edges : 2682
Edges With Duplicates : 6124
Total Edges : 8806
Number of Edge Types : 5
Retweet : 1894
MentionsInRetweet : 2588
Tweet : 1600
Replies to : 981
Mentions : 1743
Self-Loops : 1625
Reciprocated Vertex Pair Ratio : 0.0703995650992117
Reciprocated Edge Ratio : 0.131538852209243
Connected Components : 426
Single-Vertex Connected Components : 182
Maximum Vertices in a Connected Component : 1551
Maximum Edges in a Connected Component : 4073
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.388807
Graph Density : 0.000379454275759771
Modularity : 0.437206
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 3,222 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 March 2021 at 05:57 UTC.
The requested start date was Sunday, 21 March 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, 12-hour, 22-minute period from Sunday, 07 March 2021 at 00:02 UTC to Saturday, 20 March 2021 at 12:25 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:
[313] social,determinants [290] determinants,health [103] health,#sdoh [100] я,не [76] у,меня [71] #healthequity,#sdoh [60] health,sdoh [58] #sdoh,#healthequity [54] social,determinant [52] determinant,health Top Word Pairs in Tweet in G1:
[25] mandarin_sdoh,ultimate_puddle [17] mandarin_sdoh,в [16] у,меня [15] я,и [15] и,mandarin_sdoh [15] в,чужих [15] чужих,реплаях [15] реплаях,забецали [15] забецали,целый [15] целый,кроссовер Top Word Pairs in Tweet in G2:
[27] social,determinants [25] determinants,health [24] #nur4108,#w8 [15] individual,level [9] science,service [9] service,focus [9] focus,sdoh [8] health,sdoh [8] offer,data [8] data,science Top Word Pairs in Tweet in G3:
[40] racialized,communities [40] communities,ravaged [40] ravaged,pandemic [40] pandemic,effects [40] effects,#systemicracism [40] #systemicracism,time [39] picardonhealth,racialized [39] time,declar [30] failed,vulnerable' [30] vulnerable',cpho_canada's Top Word Pairs in Tweet in G4:
[33] social,determinants [22] determinants,health [13] #sdoh,#medtwitter [12] #medtwitter,drmghernandez [12] drmghernandez,duane_reynolds [12] duane_reynolds,justhealthco [12] need,social [12] health,approaches [12] approaches,addiction [12] addiction,highlighted Top Word Pairs in Tweet in G5:
[11] #healthequity,#sdoh [11] covid,19 [9] make,policy [9] policy,proactively [9] proactively,stops [9] stops,harm [9] harm,people [9] people,harmed [9] harmed,centered [8] healthbegins,make Top Word Pairs in Tweet in G6:
[21] maternal,mortality [18] himss,global [14] tech,solution [14] solution,help [13] social,determinants [13] mortality,unacceptably [13] unacceptably,high [13] high,worldwide [13] worldwide,tech [13] help,enter Top Word Pairs in Tweet in G7:
[13] #sdoh,washingtonpost [12] usda,announces [12] announces,schoolchildren [12] schoolchildren,eligible [12] eligible,free [12] free,school [12] school,meals [12] meals,over [12] over,summer [12] summer,break Top Word Pairs in Tweet in G8:
[22] у,меня [15] я,не [11] потому,что [11] и,я [9] из,за [8] я,просто [7] у,тебя [7] и,не [6] того,что [6] что,у Top Word Pairs in Tweet in G9:
[18] #sociology,#socialwork [16] #greennewdeal,#greenrecovery [9] #mentalhealth,#depression [9] technology,unlock [9] unlock,value [9] value,sdoh [9] sdoh,managed [9] managed,healthcare [9] healthcare,executive [9] executive,read Top Word Pairs in Tweet in G10:
[6] mental,health [6] social,work [4] criminogenic,needs [3] #sdgs,#sdoh [3] non,criminogenic [3] forensic,mh [3] basic,needs [2] awaisaftab,matthewrbroome [2] matthewrbroome,sameihuda [2] sameihuda,chrismeechan2 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: