The graph represents a network of 3,088 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, 14 November 2021 at 06:56 UTC.
The requested start date was Sunday, 14 November 2021 at 01:01 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, 9-hour, 50-minute period from Sunday, 31 October 2021 at 01:23 UTC to Friday, 12 November 2021 at 11:14 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 : 3088
Unique Edges : 2199
Edges With Duplicates : 5365
Total Edges : 7564
Number of Edge Types : 5
Retweet : 2027
MentionsInRetweet : 2835
Tweet : 939
Replies to : 574
Mentions : 1189
Self-Loops : 967
Reciprocated Vertex Pair Ratio : 0.0493556347683027
Reciprocated Edge Ratio : 0.0940684609354586
Connected Components : 387
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 1077
Maximum Edges in a Connected Component : 3059
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.226443
Graph Density : 0.000401462089893939
Modularity : 0.499638
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,088 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, 14 November 2021 at 06:56 UTC.
The requested start date was Sunday, 14 November 2021 at 01:01 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, 9-hour, 50-minute period from Sunday, 31 October 2021 at 01:23 UTC to Friday, 12 November 2021 at 11:14 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:
[406] men,convicted [406] guns,canada [389] 11,men [389] convicted,smuggling [389] smuggling,guns [389] canada,ohio [389] ohio,abdulwahab [389] abdulwahab,hassan [389] hassan,omar [389] omar,hassan Top Word Pairs in Tweet in G1:
[390] men,convicted [390] guns,canada [388] 11,men [388] convicted,smuggling [388] smuggling,guns [388] canada,ohio [388] ohio,abdulwahab [388] abdulwahab,hassan [388] hassan,omar [388] omar,hassan Top Word Pairs in Tweet in G2:
[23] address,#sdoh [21] great,time [21] time,speaking [21] speaking,sbinimd [21] sbinimd,dhealthtoday [21] dhealthtoday,#telemedicine [21] #telemedicine,bridge [21] bridge,gaps [21] gaps,care [21] care,address Top Word Pairs in Tweet in G3:
[339] chinese,government [338] government,official [169] official,convicted [169] convicted,stealing [169] stealing,ge [169] ge,aviation [169] aviation,high [169] high,ranking [169] ranking,chinese [169] official,tasked Top Word Pairs in Tweet in G4:
[24] social,determinants [23] determinants,health [20] ù,ù [10] health,#sdoh [8] health,equity [8] espionage,crimes [7] ù,ø [7] jury,convicts [7] convicts,chinese [7] chinese,official Top Word Pairs in Tweet in G5:
[14] у,меня [13] ðµð,ðµð [12] ðµ,ðºð [10] ðµð,ñœ [10] ðµñ,ðµð [10] ðºð,ðµð [9] ðµð,ðºð [9] mandarin_sdoh,я [8] ðµð,ðµ [8] я,не Top Word Pairs in Tweet in G6:
[21] nearly,600 [21] 600,people [21] people,died [21] died,summer [21] summer,2021 [21] 2021,'heat [21] 'heat,dome [21] dome,' [21] ',vast [21] vast,majority Top Word Pairs in Tweet in G7:
[69] health,outcomes [68] addition,biological [68] biological,differences [68] differences,#sdoh [68] #sdoh,contribute [68] contribute,disparities [68] disparities,cv [68] cv,health [68] outcomes,women [68] women,many Top Word Pairs in Tweet in G8:
[24] #sdoh,#housing [22] innovative,health [16] health,initiative [15] #agedcare,#socialcare [14] #ncds,#actonncds [13] #publichealth,#healthpromotion [12] #generalpractice,#primaryhealthcare [11] #healthpromotion,#sdoh [11] #environment,#ecology [10] #housing,#phthalates Top Word Pairs in Tweet in G9:
[30] determinants,health [28] social,determinants [19] health,#sdoh [19] rio,political [19] political,declaration [17] webinar,mark [17] mark,10th [17] 10th,anniversary [17] anniversary,rio [17] declaration,social Top Word Pairs in Tweet in G10:
[28] rural,health [26] join,nimhd [26] nimhd,niehs [26] niehs,alzheimers_nih [26] alzheimers_nih,niaidnews [26] niaidnews,learn [26] learn,#sdoh [26] #sdoh,impact [26] impact,#ruralhealth [26] #ruralhealth,hear Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: