The graph represents a network of 911 Twitter users whose recent tweets contained "Health Data Privacy", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 18 February 2022 at 11:12 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 7-minute period from Thursday, 10 February 2022 at 08:01 UTC to Friday, 18 February 2022 at 10:08 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 Grid layout algorithm.
Vertices : 911
Unique Edges : 1904
Edges With Duplicates : 77
Total Edges : 1981
Number of Edge Types : 5
Retweet : 597
Tweet : 167
MentionsInRetweet : 984
Mentions : 195
Replies to : 38
Self-Loops : 171
Reciprocated Vertex Pair Ratio : 0.0170551449687322
Reciprocated Edge Ratio : 0.0335382895472331
Connected Components : 175
Single-Vertex Connected Components : 96
Maximum Vertices in a Connected Component : 366
Maximum Edges in a Connected Component : 1178
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.932549
Graph Density : 0.00215799568159612
Modularity : 0.616385
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 911 Twitter users whose recent tweets contained "Health Data Privacy", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 18 February 2022 at 11:12 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 7-minute period from Thursday, 10 February 2022 at 08:01 UTC to Friday, 18 February 2022 at 10:08 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 Grid layout algorithm.
Graph Source : TwitterSearch
Graph Term : Health Data Privacy
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[392] public,health [385] health,agency [371] commons,ethics [371] ethics,committee [365] agency,data [365] data,scoop [365] users,allowed [365] allowed,foreign [365] foreign,laws [365] laws,commons Top Word Pairs in Tweet in G1:
[247] public,health [245] health,agency [244] commons,ethics [244] ethics,committee [238] agency,data [238] data,scoop [238] users,allowed [238] allowed,foreign [238] foreign,laws [238] laws,commons Top Word Pairs in Tweet in G2:
[126] public,health [126] health,agency [126] agency,data [126] data,scoop [126] users,allowed [126] allowed,foreign [126] foreign,laws [126] laws,commons [126] commons,ethics [126] ethics,committee Top Word Pairs in Tweet in G3:
[52] data,privacy [50] health,data [15] privacy,laws [12] privacy,commission [12] commission,act [10] health,information [8] patient,privacy [8] bipartisan,legislation [6] privacy,debate [6] study,health Top Word Pairs in Tweet in G4:
[23] data,privacy [20] health,data [17] data,sharing [14] health,insurers [12] patient,privacy [11] patient,data [10] privacy,commission [9] commission,act [9] privacy,debate [8] sharing,ramps Top Word Pairs in Tweet in G5:
[50] national,health [50] health,authority [43] authority,map [43] map,secc [43] secc,database [43] database,aadhaar [43] aadhaar,target [43] target,beneficiaries [43] beneficiaries,jay [43] jay,states Top Word Pairs in Tweet in G6:
[17] health,data [12] data,protection [11] #data,#privacy [10] data,privacy [8] check,sumologic [8] sumologic,#cso [8] #cso,george [8] george,gerchow's [8] gerchow's,understanding [8] understanding,implementation Top Word Pairs in Tweet in G7:
[10] #privacy,laws [9] legislators,introduce [9] introduce,bill [9] bill,modernize [8] #blockchain,opportunities [8] opportunities,#healthcare [8] #healthcare,model [8] model,health [8] health,information [8] information,exchanges Top Word Pairs in Tweet in G8:
[6] health,data [5] ibm,supporters [5] supporters,ibm [5] ibm,sold [5] sold,database [5] database,270 [5] 270,million [5] million,patient [5] patient,records [5] records,private Top Word Pairs in Tweet in G9:
[11] canadians,learned [11] learned,canada's [11] canada's,public [11] public,health [11] health,agency [11] agency,mobile [11] mobile,data [11] data,anonymized [11] anonymized,aggregated [11] aggregated,private Top Word Pairs in Tweet in G10:
[18] data,protection [18] health,data [9] tomorrow,joined [9] joined,personal [9] personal,data [9] protection,office [9] office,train [9] train,healthcare [9] healthcare,services [9] services,providers Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: