The graph represents a network of 6,406 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, 04 April 2020 at 10:55 UTC.
The requested start date was Saturday, 04 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 18-hour, 43-minute period from Monday, 30 March 2020 at 17:29 UTC to Friday, 03 April 2020 at 12:13 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 : 6406
Unique Edges : 6581
Edges With Duplicates : 1307
Total Edges : 7888
Number of Edge Types : 4
Mentions : 2279
Replies to : 1681
MentionsInRetweet : 2843
Tweet : 1085
Self-Loops : 1085
Reciprocated Vertex Pair Ratio : 0.0194223107569721
Reciprocated Edge Ratio : 0.038104543234001
Connected Components : 1435
Single-Vertex Connected Components : 604
Maximum Vertices in a Connected Component : 2460
Maximum Edges in a Connected Component : 3539
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.667857
Graph Density : 0.000149669403903396
Modularity : 0.799124
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 6,406 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, 04 April 2020 at 10:55 UTC.
The requested start date was Saturday, 04 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 18-hour, 43-minute period from Monday, 30 March 2020 at 17:29 UTC to Friday, 03 April 2020 at 12:13 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:
[372] christinepolon1,doctor [368] job,letting [368] camera,crew [367] doctor,risks [367] risks,job [367] letting,camera [367] crew,work [367] work,checked [367] checked,twice [367] twice,whaddya Top Word Pairs in Tweet in G1:
[75] covid,19 [75] hipaa,compliant [31] hipaa,compliance [24] hipaa,laws [23] hipaa,privacy [23] act,hipaa [22] public,health [21] learn,more [21] accountability,act [20] during,covid Top Word Pairs in Tweet in G2:
[371] christinepolon1,doctor [367] job,letting [366] doctor,risks [366] risks,job [366] letting,camera [366] camera,crew [366] crew,work [366] work,checked [366] checked,twice [366] twice,whaddya Top Word Pairs in Tweet in G3:
[58] realjameswoods,hipaa [39] hipaa,laws [17] called,hipaa [15] hipaa,violation [14] heard,hipaa [11] realjameswoods,called [10] realjameswoods,heard [10] hipaa,regulations [10] patient,privacy [7] vivasatire,realjameswoods Top Word Pairs in Tweet in G4:
[174] slooterman,apparently [173] apparently,one [173] one,#filmyourhospital [173] #filmyourhospital,tag [173] tag,knows [173] knows,hipaa [173] hipaa,seeing [173] seeing,flood [173] flood,photos [173] photos,video Top Word Pairs in Tweet in G5:
[175] area,man [175] man,unaware [175] unaware,hipaa [174] elizabeth_joh,area [3] statement,further [3] further,noted [3] noted,solano [3] solano,county [3] county,public [3] public,health Top Word Pairs in Tweet in G6:
[125] re,busy [125] busy,working [125] working,taking [125] taking,care [125] care,everyone [125] everyone,violation [125] violation,hipaa [125] hipaa,stupid [125] stupid,moron [124] danhausenad,re Top Word Pairs in Tweet in G7:
[12] hipaa,violation [11] know,hipaa [11] bec_stand,deanna4congress [10] flanoor,deanna4congress [10] deanna4congress,19_usb [9] deanna4congress,hipaa [8] casagrande_jose,flanoor [6] violation,hipaa [6] health,care [5] prosewestand,deanna4congress Top Word Pairs in Tweet in G8:
[105] people,chickenshit [105] chickenshit,admit [105] admit,think [105] think,conspiracy [105] conspiracy,instead [105] instead,innocently [105] innocently,ask [104] neontaster,people [104] ask,foo [8] hipaa,violation Top Word Pairs in Tweet in G9:
[45] red,flag [42] city,health [42] health,officials [42] officials,know [42] know,going [42] going,setup [42] setup,shop [42] shop,red [42] flag,pop [42] pop,different Top Word Pairs in Tweet in G10:
[3] bonniez45,life_is_art___ [3] life_is_art___,txsconstitution [3] txsconstitution,urbanfatbiker [3] urbanfatbiker,fightpaindaily [3] fightpaindaily,deeenst [3] deeenst,howardwill5 [3] howardwill5,tericottone [2] spread,word [2] word,pain [2] pain,docs 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: