The graph represents a network of 8,189 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, 19 September 2020 at 13:16 UTC.
The requested start date was Saturday, 19 September 2020 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, 20-hour, 7-minute period from Saturday, 05 September 2020 at 03:52 UTC to Saturday, 19 September 2020 at 00:00 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 : 8189
Unique Edges : 6779
Edges With Duplicates : 8043
Total Edges : 14822
Number of Edge Types : 5
Mentions : 4704
Tweet : 2213
Retweet : 2160
MentionsInRetweet : 2965
Replies to : 2780
Self-Loops : 2303
Reciprocated Vertex Pair Ratio : 0.0343863912515188
Reciprocated Edge Ratio : 0.0664865499823799
Connected Components : 2000
Single-Vertex Connected Components : 920
Maximum Vertices in a Connected Component : 3141
Maximum Edges in a Connected Component : 8080
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.986769
Graph Density : 0.000126962050621006
Modularity : 0.569733
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 8,189 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, 19 September 2020 at 13:16 UTC.
The requested start date was Saturday, 19 September 2020 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, 20-hour, 7-minute period from Saturday, 05 September 2020 at 03:52 UTC to Saturday, 19 September 2020 at 00:00 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:
[434] hipaa,violation [254] hipaa,compliant [229] hipaa,laws [203] hipaa,compliance [197] medical,records [164] under,hipaa [154] covid,19 [129] violate,hipaa [123] hipaa,violations [118] hipaa,law Top Word Pairs in Tweet in G1:
[94] hipaa,compliance [84] hipaa,compliant [53] hipaa,violation [38] health,information [30] learn,more [27] right,access [27] hipaa,violations [26] covid,19 [24] medical,records [24] health,data Top Word Pairs in Tweet in G2:
[88] under,hipaa [60] hipaa,violation [44] medical,records [32] covered,entity [29] #rdee,#radiologex [27] #healthit,#medtech [27] #medtech,#saas [27] #saas,#baas [27] #baas,#patientdata [27] #patientdata,#enterprisei Top Word Pairs in Tweet in G3:
[49] right,access [40] hipaa,compliant [39] hipaa,compliance [38] data,breach [35] mobile,health [30] health,apps [29] learn,more [28] medical,records [26] covid,19 [26] hipaa,right Top Word Pairs in Tweet in G4:
[82] act,hipaa [67] accountability,act [38] hipaa,apply [25] hipaa,legislation [22] hipaa,violation [22] jeberhardt37,cfbheather [17] stevedelfino,mbta [15] bostongal2019,stevedelfino [14] health,care [13] hipaa,applies Top Word Pairs in Tweet in G5:
[41] hipaa,laws [25] gov,mike [25] mike,dewine [25] dewine,press [25] press,secretary [25] secretary,dan [25] dan,tierney [25] tierney,hipaa [25] laws,don [25] don,apply Top Word Pairs in Tweet in G6:
[28] take,example [28] example,reporter's [28] reporter's,gasping [28] gasping,exchange [28] exchange,isn [28] isn,going [28] going,publicly [28] publicly,released [28] released,right [27] nc5philwilliams,take Top Word Pairs in Tweet in G7:
[16] medshr,app [16] million,doctors [16] doctors,190 [16] 190,countries [16] countries,hipaa [16] hipaa,gmc [16] gmc,compliant [13] over,one [13] one,million [12] hipaa,violation Top Word Pairs in Tweet in G8:
[109] trump,wh [109] wh,bomber [109] bomber,pilot [109] pilot,wouldn [109] wouldn,allowed [109] allowed,fly [109] fly,dementia [109] dementia,stop [109] stop,enablers [108] tomjchicago,trump Top Word Pairs in Tweet in G9:
[14] anyone,#medtwitter [14] #medtwitter,know [14] know,amermedicalassn [14] amermedicalassn,taken [14] taken,position [14] position,physicians [14] physicians,blatantly [14] blatantly,lying [14] lying,ama's [14] ama's,ethical Top Word Pairs in Tweet in G10:
[10] #healthcarecompliance,#elearning [10] #elearning,#hcca [10] #hcca,#scce [10] #scce,#hipaa [8] mentorhealth1,#hipaa [7] patient,moved [7] moved,#teritiarycare [7] #teritiarycare,#healthcare [7] #healthcare,journey [7] journey,indicates 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: