The graph represents a network of 10,376 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 July 2022 at 05:11 UTC.
The requested start date was Monday, 04 July 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 3-day, 0-hour, 41-minute period from Thursday, 30 June 2022 at 10:28 UTC to Sunday, 03 July 2022 at 11:09 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 : 10376
Unique Edges : 5159
Edges With Duplicates : 11603
Total Edges : 16762
Number of Edge Types : 5
Retweet : 5484
MentionsInRetweet : 6253
Mentions : 2305
Replies to : 988
Tweet : 1732
Self-Loops : 1767
Reciprocated Vertex Pair Ratio : 0.00731042007637752
Reciprocated Edge Ratio : 0.0145147313691508
Connected Components : 2178
Single-Vertex Connected Components : 714
Maximum Vertices in a Connected Component : 2839
Maximum Edges in a Connected Component : 5847
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.410248
Graph Density : 8.57586088378185E-05
Modularity : 0.580084
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 10,376 Twitter users whose tweets in the requested range contained "healthcare", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 July 2022 at 05:11 UTC.
The requested start date was Monday, 04 July 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 3-day, 0-hour, 41-minute period from Thursday, 30 June 2022 at 10:28 UTC to Sunday, 03 July 2022 at 11:09 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 : healthcare
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:
[782] universal,access [777] achieve,universal [776] signed,budget [776] budget,california [776] california,first [776] first,state [776] state,nation [776] nation,achieve [775] gavinnewsom,signed [774] access,healthcar Top Word Pairs in Tweet in G1:
[751] universal,access [747] signed,budget [747] budget,california [747] california,first [747] first,state [747] state,nation [747] nation,achieve [747] achieve,universal [746] gavinnewsom,signed [745] access,healthcar Top Word Pairs in Tweet in G2:
[51] healthcare,assistant [50] 10,15 [50] 15,hour [25] hour,healthcare [25] assistant,immediate [25] immediate,start [25] start,days [25] days,nights [25] nights,10 [25] hour,looking Top Word Pairs in Tweet in G3:
[340] problem,america [340] america,today [340] today,fundamentally [340] fundamentally,broken [340] broken,democracy [340] democracy,polarization [340] polarization,division [340] division,super [340] super,majority [339] matthewjdowd,problem Top Word Pairs in Tweet in G4:
[191] private,healthcare [190] more,60 [190] 60,tory [190] tory,mps [190] mps,peers [190] peers,financial [190] financial,links [190] links,private [190] healthcare,companies [190] companies,being Top Word Pairs in Tweet in G5:
[196] ve,healthcare [196] healthcare,15 [196] 15,years [196] years,icu [196] icu,first [196] first,past [196] past,10 [196] 10,think [196] think,pretty [196] pretty,current Top Word Pairs in Tweet in G6:
[186] ve,vetoed [186] vetoed,bills [186] bills,restricted [186] restricted,access [186] access,abortion [186] abortion,wisconsin [186] wisconsin,long [186] long,governor [186] governor,ll [186] ll,defend Top Word Pairs in Tweet in G7:
[47] #healthcare,#digitaltransformation [47] #digitaltransformation,starts [47] starts,step [47] step,process [47] process,uptophealth [47] #digitalhealth,#ai [46] uptophealth,#digitalhealth [45] khulood_almani,#healthcare [45] #ai,#python [43] #python,#datascien Top Word Pairs in Tweet in G8:
[98] trans,healthcare [85] being,fast [85] fast,tracked [85] tracked,transition [84] think,people [84] people,being [84] transition,idea [84] idea,trans [84] healthcare,actually [83] roseschmits,think Top Word Pairs in Tweet in G9:
[120] tell,wolverine [120] wolverine,canadian [120] canadian,character [120] character,written [120] written,american [120] american,super [120] super,power [120] power,healthcare [119] violetsilver,tell [3] healthcare,robot Top Word Pairs in Tweet in G10:
[82] hoping,didn [82] didn,go [82] go,septic [82] septic,pain [82] pain,worse [82] worse,scared [82] scared,begged [82] begged,still [82] still,told [81] marlenastell,hoping 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: