The graph represents a network of 1,745 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, 08 July 2022 at 02:23 UTC.
The requested start date was Friday, 08 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 127-day, 8-hour, 54-minute period from Tuesday, 01 March 2022 at 13:57 UTC to Wednesday, 06 July 2022 at 22:51 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 : 1745
Unique Edges : 1606
Edges With Duplicates : 4519
Total Edges : 6125
Number of Edge Types : 5
Retweet : 1581
MentionsInRetweet : 2705
Replies to : 40
Mentions : 1165
Tweet : 634
Self-Loops : 658
Reciprocated Vertex Pair Ratio : 0.0477657935285054
Reciprocated Edge Ratio : 0.0911764705882353
Connected Components : 208
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 1214
Maximum Edges in a Connected Component : 5317
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.904991
Graph Density : 0.000893772508609132
Modularity : 0.393388
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,745 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, 08 July 2022 at 02:23 UTC.
The requested start date was Friday, 08 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 127-day, 8-hour, 54-minute period from Tuesday, 01 March 2022 at 13:57 UTC to Wednesday, 06 July 2022 at 22:51 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:
[289] #digitalhealth,#personalizedmedicine [279] #personalizedmedicine,#patientsafety [263] #datascience,#digitalhealth [249] #publichealth,#datascience [216] #colombia,#ecuador [213] #ecuador,#peru [185] #peru,#bolivia [175] #patientsafety,sciencecommuni2 [170] #bolivia,#venezuela [167] #venezuela,#chile Top Word Pairs in Tweet in G1:
[67] #personalizedmedicine,call [49] personalized,medicine [43] visit,website [35] #precisionmedicine,#personalizedmedicine [35] call,today [26] today,find [25] many,healthcare [25] healthcare,organizations [25] organizations,talk [25] talk,focused Top Word Pairs in Tweet in G2:
[270] #digitalhealth,#personalizedmedicine [268] #personalizedmedicine,#patientsafety [247] #datascience,#digitalhealth [232] #publichealth,#datascience [208] #colombia,#ecuador [205] #ecuador,#peru [181] #peru,#bolivia [169] #patientsafety,sciencecommuni2 [166] #bolivia,#venezuela [163] #venezuela,#chile Top Word Pairs in Tweet in G3:
[20] confirmed,#keynotespeakers [20] #keynotespeakers,#escs2022 [20] #escs2022,alfons_valencia [20] alfons_valencia,opening [20] opening,symposium [20] symposium,anaconesa [19] iscb_escs,confirmed [19] anaconesa,closi [17] read,more [15] single,cell Top Word Pairs in Tweet in G4:
[20] personalized,medicine [7] learn,more [6] #personalizedmedicine,#precisionmedicine [5] #precisionmedicine,#personalizedmedicine [4] next,generation [4] precision,medicine [4] research,tools [3] patients,#personalizedmedicine [3] generation,sequencing [3] more,#personalizedmedicine Top Word Pairs in Tweet in G5:
[20] personalized,medicine [12] medicine,conference [12] #personalizedmedicine,conference [12] #fh,#fishawackhealth [10] gene,therapies [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:
[10] amazing,work [10] work,bring [10] bring,#personalizedmedicine [10] #personalizedmedicine,#radiationoncology [10] #radiationoncology,andyzwang [10] andyzwang,utswcancer [10] utswcancer,paper [10] paper,naturenano [9] montypal,amazing [6] #globonc,#supponc Top Word Pairs in Tweet in G8:
[19] know,lower [19] lower,activity [19] activity,need [19] need,know [19] know,much [19] much,higher [19] higher,go [18] journalofnucmed,know [18] go,#p [16] targeting,cxcr4 Top Word Pairs in Tweet in G9:
[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 G10:
[12] opinion,piece [11] read,more [9] clinical,research [9] research,studies [9] pnasnews,opinion [8] need,include [8] include,more [8] more,individuals [7] piece,insufficient [7] insufficient,#geneticdiversity 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 G7:
Top Replied-To in G10:
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: