The graph represents a network of 8,259 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 Sunday, 30 January 2022 at 13:15 UTC.
The requested start date was Saturday, 29 January 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 13-day, 3-hour, 34-minute period from Saturday, 15 January 2022 at 21:25 UTC to Saturday, 29 January 2022 at 01:00 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 : 8259
Unique Edges : 7344
Edges With Duplicates : 8911
Total Edges : 16255
Number of Edge Types : 5
Replies to : 3208
Mentions : 5961
MentionsInRetweet : 3014
Retweet : 2136
Tweet : 1936
Self-Loops : 1985
Reciprocated Vertex Pair Ratio : 0.0283835616438356
Reciprocated Edge Ratio : 0.0552003410059676
Connected Components : 1897
Single-Vertex Connected Components : 843
Maximum Vertices in a Connected Component : 3563
Maximum Edges in a Connected Component : 9409
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.145956
Graph Density : 0.000137589614693656
Modularity : 0.567524
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,259 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 Sunday, 30 January 2022 at 13:15 UTC.
The requested start date was Saturday, 29 January 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 13-day, 3-hour, 34-minute period from Saturday, 15 January 2022 at 21:25 UTC to Saturday, 29 January 2022 at 01:00 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:
[543] hipaa,violation [264] covered,entities [260] hipaa,compliant [222] hipaa,laws [192] medical,information [178] health,insurance [170] act,hipaa [155] hipaa,prevents [153] without,permission [135] hipaa,violations Top Word Pairs in Tweet in G1:
[178] covered,entities [143] medical,information [135] hipaa,prevents [132] see,below [131] prevents,covered [131] entities,see [130] without,permission [128] below,giving [128] giving,medical [126] parties,without Top Word Pairs in Tweet in G2:
[98] hipaa,violation [93] hipaa,compliant [87] act,hipaa [72] accountability,act [45] hipaa,compliance [42] learn,more [30] hipaa,violations [26] health,information [25] hipaa,laws [21] hipaa,legislation Top Word Pairs in Tweet in G3:
[71] hipaa,doesn [66] doesn,apply [60] covered,entities [50] hipaa,applies [28] under,hipaa [24] specific,covered [24] sebgorka,carhartt [24] carhartt,carharttwip [23] covered,entity [23] applies,specific Top Word Pairs in Tweet in G4:
[39] data,breaches [39] #gdpr,#hipaa [33] #databreach,#cybersecurity [32] mid,size [29] #hipaa,violations [25] common,#hipaa [23] healthcare,data [22] learn,more [21] privacy,security [20] patient,friendly Top Word Pairs in Tweet in G5:
[5] richykirsh,kath2cats [5] fannyi5,jallen1315 [5] jallen1315,45kerri [5] 45kerri,btothec67 [4] gotantibods,idunsdaughter [4] idunsdaughter,alphae1978 [4] landonntooke,sammy44231 [4] sammy44231,sallyjiggles [4] sallyjiggles,seamusmacsuibh1 [3] doom37455413,richykirsh Top Word Pairs in Tweet in G6:
[114] hospitals,lie [114] lie,hipaa [114] hipaa,requires [114] requires,prevents [114] prevents,doing [114] doing,readily [114] readily,anti [114] anti,mask [114] mask,freak [113] libbycwatson,hospitals Top Word Pairs in Tweet in G7:
[4] odktiger,horusrage [4] toteshunty,samson37123571 [4] kraegkust,megafant1 [4] megafant1,wpcguy [4] wpcguy,willsworldview [4] willsworldview,twittilating [4] twittilating,brough_joshua [4] brough_joshua,baphomet555666 [4] scientiapercept,michaelsteidel [4] michaelsteidel,dadah_83 Top Word Pairs in Tweet in G8:
[13] ali_lev,politico [9] boydpetrie,ali_lev [7] politico,reading [7] reading,especially [7] especially,gross [7] gross,resort [7] resort,gaslighting [7] gaslighting,former [7] former,volunteer [6] volunteer,shou Top Word Pairs in Tweet in G9:
[133] tele,health [118] bringing,tele [100] health,metaverse [71] metaverse,along [69] biggest,world [69] building,medical [68] world,utility [66] medical,city [62] along,cryptocurrency [62] cryptocurrency,called Top Word Pairs in Tweet in G10:
[74] someone,hit [74] hit,parked [74] parked,minivan [74] minivan,getting [74] getting,gas [74] gas,asked [74] asked,insurance [74] insurance,information [74] information,typical [74] typical,protocol Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: