The graph represents a network of 10,326 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, 17 October 2022 at 05:10 UTC.
The requested start date was Monday, 17 October 2022 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, 37-minute period from Thursday, 13 October 2022 at 10:32 UTC to Saturday, 15 October 2022 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 : 10326
Unique Edges : 6394
Edges With Duplicates : 11176
Total Edges : 17570
Number of Edge Types : 5
Replies to : 1125
Tweet : 2152
Retweet : 4925
MentionsInRetweet : 6130
Mentions : 3238
Self-Loops : 2191
Reciprocated Vertex Pair Ratio : 0.0140671526850806
Reciprocated Edge Ratio : 0.0277440259214257
Connected Components : 2345
Single-Vertex Connected Components : 836
Maximum Vertices in a Connected Component : 2955
Maximum Edges in a Connected Component : 6562
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.577587
Graph Density : 9.26315434041529E-05
Modularity : 0.594445
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 10,326 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, 17 October 2022 at 05:10 UTC.
The requested start date was Monday, 17 October 2022 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, 37-minute period from Thursday, 13 October 2022 at 10:32 UTC to Saturday, 15 October 2022 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:
[464] healthcare,system [421] healthcare,workers [249] social,security [198] benefits,biggest [198] increase,social [198] ssi,benefits [198] biggest,boost [198] passed,increase [198] security,ssi [198] democrats,passed Top Word Pairs in Tweet in G1:
[93] awards,2022 [88] summit,awards [88] october,2022 [87] star,mumbai [87] sahara,star [87] 08th,october [87] 2022,hotel [87] winner,iconic [87] hotel,sahara [87] mumbai,felicitated Top Word Pairs in Tweet in G2:
[200] healthcare,workers [99] tigray,healthcare [83] paid,over [83] bear,brunt [83] over,year [83] brunt,war [83] year,bear [83] medical,supplies [82] measures,one [82] resorted,unusual Top Word Pairs in Tweet in G3:
[61] healthcare,system [48] doug,ford [21] healthcare,doug [18] sylvia,jones [18] ford,sylvia [18] ontario,healthcare [17] revealed,alarming [17] telling,months [17] today,revealed [17] alarming,data Top Word Pairs in Tweet in G4:
[109] over,treatment [108] treatment,socialised [108] medicine,solution [108] inequitable,easily [108] private,medicine [108] easily,leads [108] leads,over [108] extravagant,inequitable [108] solution,extravagant [107] socialised,health Top Word Pairs in Tweet in G5:
[189] social,security [188] biggest,boost [188] democrats,passed [188] increase,social [188] passed,increase [188] benefits,biggest [188] sure,vote [188] security,ssi [188] vote,democrats [188] ssi,benefits Top Word Pairs in Tweet in G6:
[49] health,care [39] social,security [30] 96,time [30] biden,96 [27] president,biden [26] grateful,senator [26] voted,president [26] time,republican [26] warnock,voted [26] senator,warnock Top Word Pairs in Tweet in G7:
[182] attacks,healthcare [181] jenin,refugee [181] shot,palestinian [181] horrible,news [181] sniper,shot [181] healthcare,jenin [181] news,israeli [181] israeli,attacks [181] refugee,camp [181] palestinian,doctor Top Word Pairs in Tweet in G8:
[84] government,healthcare [83] healthcare,plans [82] herschel,walker [82] senators,note [82] plans,senators [82] walker,americans [82] note,senators [82] americans,government [81] mikesington,herschel [67] unarmed,citizens Top Word Pairs in Tweet in G9:
[20] healthcare,services [14] pm,narendramodi [14] pm,modi [13] narendramodi,ji [12] ji,given [12] given,call [12] initiative,towards [12] spirited,initiative [12] call,jai [12] jai,anusandhan Top Word Pairs in Tweet in G10:
[146] cut,cost [74] biden,96 [74] 96,time [73] vote,biden [73] response,vote [73] cost,healthcare [73] time,voted [73] voted,cut [73] simple,response [73] healthcare,cut Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: