The graph represents a network of 10,158 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 01 November 2021 at 05:03 UTC.
The requested start date was Monday, 01 November 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 2-day, 0-hour, 42-minute period from Friday, 29 October 2021 at 10:26 UTC to Sunday, 31 October 2021 at 11:09 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 : 10158
Unique Edges : 5937
Edges With Duplicates : 11503
Total Edges : 17440
Number of Edge Types : 5
Retweet : 5055
MentionsInRetweet : 6160
Replies to : 1069
Tweet : 2111
Mentions : 3045
Self-Loops : 2187
Reciprocated Vertex Pair Ratio : 0.0116377486246297
Reciprocated Edge Ratio : 0.0230077389667434
Connected Components : 2280
Single-Vertex Connected Components : 767
Maximum Vertices in a Connected Component : 2997
Maximum Edges in a Connected Component : 6590
Maximum Geodesic Distance (Diameter) : 39
Average Geodesic Distance : 14.270669
Graph Density : 9.26776639638169E-05
Modularity : 0.584475
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,158 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 01 November 2021 at 05:03 UTC.
The requested start date was Monday, 01 November 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 2-day, 0-hour, 42-minute period from Friday, 29 October 2021 at 10:26 UTC to Sunday, 31 October 2021 at 11:09 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 : healthcare
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:
[579] healthcare,system [535] healthcare,workers [312] supreme,court [243] covid,19 [214] vaccination,mandate [213] green,lights [210] anti,vaxxers [209] breaking,news [208] news,huge [208] huge,loss Top Word Pairs in Tweet in G1:
[34] healthcare,system [29] healthcare,workers [27] namo,app [22] covid,19 [22] #health,#healthcare [18] health,infrastructure [17] pm,ayushman [17] ayushman,bharat [17] bharat,health [17] infrastructure,mission Top Word Pairs in Tweet in G2:
[134] healthcare,system [133] nurse,tweeting [122] happy,#socialistsunday [122] #socialistsunday,nurse [122] tweeting,healthcare [122] system,ground [122] ground,perspective [120] nhsactivistrn,happy [120] perspective,belon [41] access,healthcare Top Word Pairs in Tweet in G3:
[254] supreme,court [206] breaking,news [205] news,huge [205] huge,loss [205] loss,anti [205] anti,vaxxers [205] vaxxers,supreme [205] court,green [205] green,lights [205] lights,maine Top Word Pairs in Tweet in G4:
[89] during,remarks [89] remarks,highlighted [89] highlighted,aspects [89] aspects,relating [89] relating,india [89] india,contributions [89] contributions,global [89] global,fight [89] fight,against [89] against,covid Top Word Pairs in Tweet in G5:
[27] #technology,changing [26] changing,nutritional [26] nutritional,care [24] #nlp,#analytics [23] #health,#artificialintelligence [22] role,#innovation [22] #innovation,#technology [22] care,#health [21] sonu_monika,role [21] #artificialintelligence,#n Top Word Pairs in Tweet in G6:
[139] healthcare,system [63] another,airstrike [63] densely,populated [63] populated,capital [63] capital,latest [63] latest,attack [63] attack,abiyahmedali [63] abiyahmedali,intensify [61] #tigraygenocide,included [61] included,deliberate Top Word Pairs in Tweet in G7:
[80] healthcare,workers [70] sick,tired [70] tired,hearing [70] hearing,healthcare [70] workers,cops [70] cops,emts [70] emts,firefighters [70] firefighters,frontline [70] frontline,providers [69] joncoopertweets,sick Top Word Pairs in Tweet in G8:
[83] vaccinated,spread [83] spread,delta [83] delta,variant [83] variant,unvaccinated [83] unvaccinated,study [73] thehill,vaccinated [37] thehill,texas [30] vaccine,mandate [29] texas,attorney [29] attorney,general Top Word Pairs in Tweet in G9:
[130] example,healthcare [130] healthcare,policing [130] policing,united [130] united,states [129] joeywreck,example [10] josephnsanberg,healthcare [8] healthcare,free [5] resources,shelter [5] shelter,american [5] american,refuses Top Word Pairs in Tweet in G10:
[91] serious,last [91] last,time [91] time,heard [91] heard,top [91] top,republican [91] republican,republican [91] republican,talking [91] talking,detail [90] mehdirhasan,serious [90] detail,fi Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: