The graph represents a network of 7,138 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, 13 April 2020 at 06:10 UTC.
The requested start date was Monday, 13 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 8-minute period from Friday, 10 April 2020 at 11:44 UTC to Sunday, 12 April 2020 at 11:53 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 : 7138
Unique Edges : 7512
Edges With Duplicates : 536
Total Edges : 8048
Number of Edge Types : 4
MentionsInRetweet : 4798
Replies to : 643
Mentions : 1372
Tweet : 1235
Self-Loops : 1235
Reciprocated Vertex Pair Ratio : 0.00564024390243902
Reciprocated Edge Ratio : 0.0112172199484614
Connected Components : 1563
Single-Vertex Connected Components : 373
Maximum Vertices in a Connected Component : 1761
Maximum Edges in a Connected Component : 2334
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.292416
Graph Density : 0.000129495370849656
Modularity : 0.87243
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 7,138 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, 13 April 2020 at 06:10 UTC.
The requested start date was Monday, 13 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 8-minute period from Friday, 10 April 2020 at 11:44 UTC to Sunday, 12 April 2020 at 11:53 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:
[1306] healthcare,workers [291] covid,19 [269] healthcare,system [177] health,care [169] more,people [163] week,alone [162] alone,york [162] york,lost [162] lost,more [162] people,11 Top Word Pairs in Tweet in G1:
[82] healthcare,workers [35] covid,19 [25] healthcare,system [10] healthcare,worker [9] healthcare,professionals [8] healthcare,infrastructure [8] free,healthcare [7] thank,healthcare [7] never,knew [7] essential,workers Top Word Pairs in Tweet in G2:
[158] more,people [157] week,alone [157] alone,york [157] york,lost [157] lost,more [157] people,11 [157] 11,ve [157] ve,phone [157] phone,week [157] week,sobbing Top Word Pairs in Tweet in G3:
[45] healthcare,system [37] few,parts [37] parts,venezuela's [37] venezuela's,healthcare [37] system,collapsed [37] collapsed,severely [37] severely,maternity [37] maternity,wards [37] wards,doctors [37] doctors,fleeing Top Word Pairs in Tweet in G4:
[135] alivelshi,low [135] low,wage [135] wage,workers [135] workers,workers [135] workers,forgotten [135] forgotten,unnoticed [135] unnoticed,underpaid [135] underpaid,uninsured [135] uninsured,work [133] msnbc,alivelshi Top Word Pairs in Tweet in G5:
[55] healthcare,workers [31] healthcare,staff [28] upper,limit [28] limit,mind [28] mind,number [28] number,healthcare [28] staff,die [28] die,before [28] before,ll [28] ll,take Top Word Pairs in Tweet in G6:
[6] makes,sense [6] sense,biden [6] biden,launches [6] launches,bizarre [6] bizarre,rant [6] rant,healthcare [6] healthcare,put [6] put,another [6] another,way [5] nyforsanders,joebiden Top Word Pairs in Tweet in G7:
[93] seeing,health [93] health,care [93] care,worker [93] worker,protective [93] protective,gear [93] gear,make [93] make,tough [93] tough,situation [93] situation,harder [93] harder,respiratory Top Word Pairs in Tweet in G8:
[71] free,healthcare [71] healthcare,illegals [71] establishment,candidate [71] candidate,wanted [71] wanted,biden [71] biden,policies [71] policies,right [71] right,line [71] line,socialist [71] socialist,bernie Top Word Pairs in Tweet in G9:
[107] older,more [107] more,see [107] see,tough [107] tough,life [107] life,america [107] america,compared [107] compared,elsewhere [107] elsewhere,western [107] western,world [107] world,universal Top Word Pairs in Tweet in G10:
[42] seeing,health [42] health,care [42] care,worker [42] worker,protective [42] protective,gear [42] gear,make [42] make,tough [42] tough,situation [42] situation,harder [42] harder,respiratory 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: