The graph represents a network of 6,323 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, 27 August 2022 at 12:34 UTC.
The requested start date was Saturday, 27 August 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 13-day, 10-hour, 55-minute period from Saturday, 13 August 2022 at 00:08 UTC to Friday, 26 August 2022 at 11:04 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 : 6323
Unique Edges : 5010
Edges With Duplicates : 6272
Total Edges : 11282
Number of Edge Types : 5
Retweet : 1993
MentionsInRetweet : 2805
Replies to : 1704
Mentions : 3012
Tweet : 1768
Self-Loops : 1862
Reciprocated Vertex Pair Ratio : 0.0220804710500491
Reciprocated Edge Ratio : 0.043206913106097
Connected Components : 1759
Single-Vertex Connected Components : 824
Maximum Vertices in a Connected Component : 1703
Maximum Edges in a Connected Component : 5159
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 8.749767
Graph Density : 0.000156326588833754
Modularity : 0.579416
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,323 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, 27 August 2022 at 12:34 UTC.
The requested start date was Saturday, 27 August 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 13-day, 10-hour, 55-minute period from Saturday, 13 August 2022 at 00:08 UTC to Friday, 26 August 2022 at 11:04 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:
[465] hipaa,violation [237] hipaa,compliant [191] medical,privacy [186] privacy,laws [177] tracking,tool [174] two,lawsuits [174] lawsuits,filed [174] filed,against [174] against,meta [174] meta,alleging Top Word Pairs in Tweet in G1:
[102] hipaa,compliant [96] act,hipaa [82] accountability,act [63] hipaa,compliance [57] hipaa,violation [42] hipaa,security [27] security,requirements [26] satisfying,hipaa [26] requirements,oci [25] hipaa,laws Top Word Pairs in Tweet in G2:
[65] sirlancelotti68,tweetmommybop [65] tweetmommybop,marcellacomedy [49] marcellacomedy,same [49] same,reason [49] reason,women [49] women,deleting [49] deleting,period [49] period,apps [49] apps,states [49] states,ban Top Word Pairs in Tweet in G3:
[50] badtakesbad,hipaa [41] drcaberry,badtakesbad [31] hipaa,violation [30] hipaa,compliant [20] momo507junocom1,jojofromjerz [18] mooshter_lp,momo507junocom1 [16] drcarlottaberry,badtakesbad [16] bubble,nocodebackend [14] hipaa,expert [13] badtakesbad,self Top Word Pairs in Tweet in G4:
[39] hipaa,compliant [29] #hipaa,#hipaa [26] hipaa,compliance [26] #ada,#ftc [26] #ftc,#hipaa [26] #hipaa,#fda [25] #gdpr,#hipaa [23] #hipaa,#compliance [22] data,silos [19] data,breaches Top Word Pairs in Tweet in G5:
[173] two,lawsuits [173] lawsuits,filed [173] filed,against [173] against,meta [173] meta,alleging [173] alleging,company [173] company,violated [173] violated,medical [173] medical,privacy [173] privacy,laws Top Word Pairs in Tweet in G6:
[121] go,again [121] again,therapist [121] therapist,lose [121] lose,job [121] job,last [121] last,week [121] week,ing [121] ing,black [121] black,male [121] male,patients Top Word Pairs in Tweet in G7:
[96] hipaa,violation [92] somebody,quotes [92] quotes,brought [92] brought,good [92] good,point [92] point,hipaa [92] violation,doctors [92] doctors,stop [92] stop,people [92] people,speeding Top Word Pairs in Tweet in G8:
[102] guys,wearing [102] wearing,scrubs [102] scrubs,dressing [102] dressing,doctors [102] doctors,ultrasound [102] ultrasound,machines [101] ppblackcomm,guys [101] machines,foll Top Word Pairs in Tweet in G9:
[96] oracle,satisfying [96] satisfying,#hippa [96] #hippa,security [96] security,requirements [94] check,oracle [94] requirements,protecting [94] protecting,patient [94] patient,#health [94] #health,information [93] information,oraclecloud Top Word Pairs in Tweet in G10:
[8] federal,hipaa [8] hipaa,hospital [7] north,korea [6] hipaa,violation [6] 1996,federal [5] fbi,newyorkfbi [5] cia,iata [5] title,company [4] cia,newyorkfbi [4] hipaa,public 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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: