The graph represents a network of 6,714 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, 18 May 2020 at 06:11 UTC.
The requested start date was Monday, 18 May 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, 24-minute period from Friday, 15 May 2020 at 11:24 UTC to Sunday, 17 May 2020 at 11:48 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 : 6714
Unique Edges : 3059
Edges With Duplicates : 8448
Total Edges : 11507
Number of Edge Types : 5
Retweet : 4091
MentionsInRetweet : 4783
Tweet : 958
Replies to : 439
Mentions : 1236
Self-Loops : 980
Reciprocated Vertex Pair Ratio : 0.00653490596110934
Reciprocated Edge Ratio : 0.0129849564528899
Connected Components : 1242
Single-Vertex Connected Components : 348
Maximum Vertices in a Connected Component : 2454
Maximum Edges in a Connected Component : 5190
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.352647
Graph Density : 0.000140112012398549
Modularity : 0.570551
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 6,714 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, 18 May 2020 at 06:11 UTC.
The requested start date was Monday, 18 May 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, 24-minute period from Friday, 15 May 2020 at 11:24 UTC to Sunday, 17 May 2020 at 11:48 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:
[918] healthcare,workers [758] healthcare,professionals [690] professionals,belgium [671] very,sad [671] backs,pm [670] wow,powerful [670] powerful,very [670] sad,healthcare [670] belgium,turning [670] turning,backs Top Word Pairs in Tweet in G1:
[659] healthcare,professionals [658] wow,powerful [658] powerful,very [658] very,sad [658] sad,healthcare [658] professionals,belgium [658] belgium,turning [658] turning,backs [658] backs,pm [658] pm,arrives Top Word Pairs in Tweet in G2:
[346] healthcare,workers [345] dr,bill [345] bill,miller [345] miller,flying [345] flying,blue [345] blue,jets [345] jets,cities [345] cities,support [345] support,healthcare [345] workers,cost Top Word Pairs in Tweet in G3:
[53] healthcare,workers [36] covid,19 [16] healthcare,system [11] healthcare,services [10] free,healthcare [8] beautiful,thing [8] amn,healthcare [8] q2,2020 [7] coronavirus,testing [7] 2020,earnings Top Word Pairs in Tweet in G4:
[231] mortality,rate [231] rate,young [231] young,healthy [231] healthy,people [231] people,tiny [231] tiny,over [231] over,70s [231] 70s,little [231] little,reason [231] reason,panic Top Word Pairs in Tweet in G5:
[123] took,pandemic [123] pandemic,world [123] world,finally [123] finally,understand [123] understand,oil [123] oil,worthless [123] worthless,society [123] society,without [123] without,consumption [122] mhdksafa,took Top Word Pairs in Tweet in G6:
[7] #healthcare,workers [6] covid,19 [6] #artificialintelligence,#healthtech [5] #healthcare,#health [4] victoria,shannon [4] shannon,#bigdata [4] #bigdata,#healthcare [4] #healthcare,#who [4] #who,#europe [4] #europe,#mattdamon Top Word Pairs in Tweet in G7:
[67] vote,joebiden [67] joebiden,aca [67] aca,instead [67] instead,president [67] president,trying [67] trying,abolish [67] abolish,healthcare [66] jillwinebanks,vote [21] healthcare,plan [20] joebiden,asked Top Word Pairs in Tweet in G8:
[111] healthcare,workers [107] know,lot [107] lot,unemployed [107] unemployed,people [107] people,healthcare [107] workers,one [107] one,asked [107] asked,see [106] brianschatz,know [106] see,milit Top Word Pairs in Tweet in G9:
[63] bmc,sitting [63] sitting,cash [63] cash,80 [63] 80,000 [63] 000,crore [63] crore,mumbai [63] mumbai,healthcare [63] healthcare,brink [63] brink,collapse [63] collapse,joke Top Word Pairs in Tweet in G10:
[106] means,nothing [106] nothing,government [106] government,spent [106] spent,week [106] week,talking [106] talking,freezing [106] freezing,healthcare [105] liamyoung,means [105] healthcare,wor [9] knew,government 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: