The graph represents a network of 3,031 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, 03 October 2021 at 05:57 UTC.
The requested start date was Sunday, 03 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 12-day, 11-hour, 7-minute period from Sunday, 19 September 2021 at 00:05 UTC to Friday, 01 October 2021 at 11:13 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 : 3031
Unique Edges : 2672
Edges With Duplicates : 5659
Total Edges : 8331
Number of Edge Types : 5
Mentions : 1834
Retweet : 1919
MentionsInRetweet : 2931
Tweet : 1033
Replies to : 614
Self-Loops : 1053
Reciprocated Vertex Pair Ratio : 0.0658033826638478
Reciprocated Edge Ratio : 0.123481279444582
Connected Components : 383
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 1521
Maximum Edges in a Connected Component : 4667
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.0198
Graph Density : 0.000439136622339238
Modularity : 0.471189
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,031 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, 03 October 2021 at 05:57 UTC.
The requested start date was Sunday, 03 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 12-day, 11-hour, 7-minute period from Sunday, 19 September 2021 at 00:05 UTC to Friday, 01 October 2021 at 11:13 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:
[235] social,determinants [216] determinants,health [108] learn,regional [108] regional,experts [104] sdoh,data [104] launch,#3dreport [89] health,equity [84] using,sdoh [84] data,enhance [82] artificial,intelligence Top Word Pairs in Tweet in G1:
[38] apelsin_voskres,crazy_huezy [29] apelsin_voskres,mandarin_sdoh [27] crazy_huezy,mandarin_sdoh [21] у,меня [19] mandarin_sdoh,crazy_huezy [18] я,не [18] у,нас [16] crazy_huezy,apelsin_voskres [15] потому,что [15] mandarin_sdoh,apelsin_voskres Top Word Pairs in Tweet in G2:
[108] learn,regional [108] regional,experts [104] launch,#3dreport [72] #turnprinciplestoaction,launch [67] 3dcommission,join [63] join,3dcommission [60] experts,challenges [58] #data,#sdoh [48] join,#turnprinciplestoaction [47] challenges,opportunities Top Word Pairs in Tweet in G3:
[41] social,determinants [36] determinants,health [11] health,equity [8] learn,more [7] sdoh,data [7] #sdoh,#healthcare [6] health,#sdoh [6] sdoh,related [6] related,stress [6] stress,lead Top Word Pairs in Tweet in G4:
[76] police,officers [76] officers,charged [76] charged,crimes [76] crimes,related [76] related,distributing [76] distributing,kilograms [76] kilograms,fentanyl [75] columbus,police [74] sdohnews,columbus [64] air,force Top Word Pairs in Tweet in G5:
[11] social,determinants [11] determinants,health [9] health,equity [9] health,outcomes [7] health,care [7] florence,nightingale [6] health,#sdoh [5] address,#sdoh [5] #sdoh,#healthequity [5] addressing,#sdoh Top Word Pairs in Tweet in G6:
[29] social,determinants [28] determinants,health [16] cross,sectoral [13] hhs_innovates,hhsgov [12] sectoral,collaboration [12] hhsgov,healthgov [10] affordable,housing [10] healthgov,cdcgov [9] need,more [9] food,insecurity Top Word Pairs in Tweet in G7:
[10] determinants,health [7] health,equity [6] addressing,#sdoh [5] lack,oral [5] oral,health [5] health,major [5] major,#healthequity [5] #healthequity,issue [5] issue,authors [5] authors,present Top Word Pairs in Tweet in G8:
[78] data,enhance [78] using,sdoh [76] sdoh,data [76] enhance,artificial [76] artificial,intelligence [76] intelligence,outcomes [37] #artificialintelligence,#ai [35] outcomes,#artificialintelligence [32] #healthequity,#healthequality [32] dataworkout,using Top Word Pairs in Tweet in G9:
[24] parties,commit [24] commit,lifting [24] lifting,people [24] people,disabilities [24] disabilities,#poverty [24] #poverty,first [24] first,step [24] step,revive [24] revive,plan [24] plan,canada Top Word Pairs in Tweet in G10:
[12] authors,#namperspectives [12] #namperspectives,discussion [12] discussion,paper [12] barriers,centering [8] health,care [7] paper,outline [7] outline,current [7] current,barriers [7] centering,heath [7] heath,equity 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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