The graph represents a network of 1,635 Twitter users whose tweets in the requested range contained "personalizedmedicine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 July 2022 at 02:23 UTC.
The requested start date was Friday, 01 July 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 120-day, 11-hour, 18-minute period from Tuesday, 01 March 2022 at 13:57 UTC to Thursday, 30 June 2022 at 01:16 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 : 1635
Unique Edges : 1521
Edges With Duplicates : 4232
Total Edges : 5753
Number of Edge Types : 5
Retweet : 1463
MentionsInRetweet : 2532
Tweet : 600
Mentions : 1121
Replies to : 37
Self-Loops : 623
Reciprocated Vertex Pair Ratio : 0.0486196950968274
Reciprocated Edge Ratio : 0.0927308447937132
Connected Components : 201
Single-Vertex Connected Components : 97
Maximum Vertices in a Connected Component : 1117
Maximum Edges in a Connected Component : 4963
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.907802
Graph Density : 0.000952616232281151
Modularity : 0.390942
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,635 Twitter users whose tweets in the requested range contained "personalizedmedicine", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 July 2022 at 02:23 UTC.
The requested start date was Friday, 01 July 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 120-day, 11-hour, 18-minute period from Tuesday, 01 March 2022 at 13:57 UTC to Thursday, 30 June 2022 at 01:16 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 : personalizedmedicine
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:
[278] #digitalhealth,#personalizedmedicine [272] #personalizedmedicine,#patientsafety [252] #datascience,#digitalhealth [238] #publichealth,#datascience [210] #colombia,#ecuador [207] #ecuador,#peru [179] #peru,#bolivia [168] #patientsafety,sciencecommuni2 [164] #bolivia,#venezuela [161] #venezuela,#chile Top Word Pairs in Tweet in G1:
[63] #personalizedmedicine,call [47] personalized,medicine [40] visit,website [31] call,today [25] many,healthcare [25] healthcare,organizations [25] organizations,talk [25] talk,focused [25] focused,overcoming [25] overcoming,barriers Top Word Pairs in Tweet in G2:
[261] #digitalhealth,#personalizedmedicine [261] #personalizedmedicine,#patientsafety [238] #datascience,#digitalhealth [223] #publichealth,#datascience [202] #colombia,#ecuador [199] #ecuador,#peru [175] #peru,#bolivia [162] #patientsafety,sciencecommuni2 [160] #bolivia,#venezuela [157] #venezuela,#chile Top Word Pairs in Tweet in G3:
[16] confirmed,#keynotespeakers [16] #keynotespeakers,#escs2022 [16] #escs2022,alfons_valencia [16] alfons_valencia,opening [16] opening,symposium [16] symposium,anaconesa [16] read,more [15] iscb_escs,confirmed [15] anaconesa,closi [15] single,cell Top Word Pairs in Tweet in G4:
[20] personalized,medicine [8] learn,more [5] #personalizedmedicine,#precisionmedicine [4] #precisionmedicine,#personalizedmedicine [4] next,generation [4] research,tools [3] patients,#personalizedmedicine [3] generation,sequencing [3] more,#personalizedmedicine [3] precision,medicine Top Word Pairs in Tweet in G5:
[20] personalized,medicine [12] medicine,conference [11] #personalizedmedicine,conference [10] gene,therapies [10] #fh,#fishawackhealth [9] 16th,annual [9] 3d,bioprinting [7] #fishawackhealth,#precisionmedicine [7] thanks,permedcoalition [6] 28,#personalizedmedicine Top Word Pairs in Tweet in G6:
[52] #augmentedreality,#ai [52] #ai,#quantumcomputing [47] 10,innovative [47] innovative,tech [47] tech,change [47] change,world [47] world,wef [47] wef,#augmentedreality [44] yuhelenyu,10 [44] #quantumcomputing,#personalizedmedici Top Word Pairs in Tweet in G7:
[11] read,more [11] opinion,piece [8] clinical,research [8] research,studies [8] pnasnews,opinion [7] need,include [7] include,more [7] more,individuals [6] #personalizedmedicine,read [6] #amr,#personalizedmedicine Top Word Pairs in Tweet in G8:
[36] please,re [36] re,tweet [36] tweet,terrific [36] terrific,infographic [36] infographic,exploring [36] exploring,#personalizedmedicine [36] #personalizedmedicine,#dementia [36] #dementia,image [36] image,3spirituknz [35] lead_coalition,please Top Word Pairs in Tweet in G9:
[6] #globonc,#supponc [5] activity,selpercatinib [5] selpercatinib,solid [5] solid,tumors [5] tumors,being [5] being,presented [5] presented,#asco22 [5] #asco22,viveksubbiah [5] viveksubbiah,alexdrilon [5] alexdrilon,ascopost Top Word Pairs in Tweet in G10:
[14] #precisionmedicine,#personalizedmedicine [11] #comitecenter,#precisionmedicine [7] #healthspan,#lifespan [7] gift,walked [7] walked,path [7] path,together [7] together,emreg00 [7] emreg00,sil_catsolarz [7] sil_catsolarz,kudos [7] kudos,womensbrainpro Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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: