The graph represents a network of 7,886 Twitter users whose tweets in the requested range contained "hipaa", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 March 2022 at 13:11 UTC.
The requested start date was Saturday, 05 March 2022 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 4-day, 13-hour, 0-minute period from Sunday, 27 February 2022 at 22:07 UTC to Friday, 04 March 2022 at 11:08 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 : 7886
Unique Edges : 1387
Edges With Duplicates : 13499
Total Edges : 14886
Number of Edge Types : 5
Retweet : 6600
MentionsInRetweet : 6812
Replies to : 423
Mentions : 594
Tweet : 457
Self-Loops : 465
Reciprocated Vertex Pair Ratio : 0.00312418640978912
Reciprocated Edge Ratio : 0.00622891253568648
Connected Components : 530
Single-Vertex Connected Components : 247
Maximum Vertices in a Connected Component : 6377
Maximum Edges in a Connected Component : 12984
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.464852
Graph Density : 0.000123928311990571
Modularity : 0.45339
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,886 Twitter users whose tweets in the requested range contained "hipaa", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 March 2022 at 13:11 UTC.
The requested start date was Saturday, 05 March 2022 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 4-day, 13-hour, 0-minute period from Sunday, 27 February 2022 at 22:07 UTC to Friday, 04 March 2022 at 11:08 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 : hipaa
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:
[3067] trans,kids [3057] huge,response [3057] response,biden [3057] biden,administration [3057] administration,texas [3057] texas,taking [3057] taking,trans [3057] kids,supportive [3057] supportive,parents [3057] parents,much Top Word Pairs in Tweet in G1:
[3033] huge,response [3033] response,biden [3033] biden,administration [3033] administration,texas [3033] texas,taking [3033] taking,trans [3033] trans,kids [3033] kids,supportive [3033] supportive,parents [3033] parents,much Top Word Pairs in Tweet in G2:
[2514] stclairneish,hipaa [2514] hipaa,nothing [2514] nothing,play [2514] play,wish [2514] wish,understood [4] stclairneish,eloracyram [4] eloracyram,people [4] people,think [4] think,hipaa [4] hipaa,adjective Top Word Pairs in Tweet in G3:
[455] hipaa,violation [454] republicans,screamed [454] screamed,hipaa [454] violation,asked [454] asked,vaccine [454] vaccine,status [454] status,literally [454] literally,going [454] going,homes [454] homes,trans Top Word Pairs in Tweet in G4:
[34] hipaa,violation [12] medical,records [12] hipaa,compliant [11] hipaa,compliance [10] hipaa,violations [6] open,access [6] access,bpo [5] violation,hipaa [5] hipaa,laws [5] gt,gt Top Word Pairs in Tweet in G5:
[149] asking,lsat [149] lsat,score [149] score,hipaa [149] hipaa,violation [148] batmanjuul,asking Top Word Pairs in Tweet in G6:
[48] medical,records [47] same,people [43] child's,medical [43] cry,hipaa [42] jdavidgoodman,demand [42] demand,see [42] see,child's [42] records,same [42] people,cry [42] hipaa,asked Top Word Pairs in Tweet in G7:
[9] hipaa,violation [7] doesn,apply [5] hipaa,applies [5] msu_basketball,umichbball [5] hipaa,doesn [5] blueicats,wchrisnunn [4] esther35362570,couchtomato62 [4] couchtomato62,mm11089 [4] mm11089,marvacuffy [4] karla_newbi,refusenikmark Top Word Pairs in Tweet in G8:
[12] medical,center [12] cyber,attack [10] #log4j,#vulnerabilities [10] #vulnerabilities,put [10] put,strain [10] strain,overburdened [10] overburdened,#cybersecurity [10] #cybersecurity,workforce [10] workforce,securityhit [10] #datacompliance,comes Top Word Pairs in Tweet in G9:
[2] hipaa,violation [2] secret,service Top Replied-To in Entire Graph:
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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: