The graph represents a network of 1,340 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, 12 August 2022 at 02:22 UTC.
The requested start date was Friday, 12 August 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 101-day, 11-hour, 47-minute period from Sunday, 01 May 2022 at 12:30 UTC to Thursday, 11 August 2022 at 00:17 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 : 1340
Unique Edges : 1072
Edges With Duplicates : 2958
Total Edges : 4030
Number of Edge Types : 5
Retweet : 1125
MentionsInRetweet : 1683
Mentions : 744
Replies to : 28
Tweet : 450
Self-Loops : 462
Reciprocated Vertex Pair Ratio : 0.0421348314606742
Reciprocated Edge Ratio : 0.0808625336927224
Connected Components : 163
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 919
Maximum Edges in a Connected Component : 3381
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.134712
Graph Density : 0.00103385239597383
Modularity : 0.415619
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 1,340 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, 12 August 2022 at 02:22 UTC.
The requested start date was Friday, 12 August 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 101-day, 11-hour, 47-minute period from Sunday, 01 May 2022 at 12:30 UTC to Thursday, 11 August 2022 at 00:17 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:
[120] #digitalhealth,#personalizedmedicine [102] #sensors,#vr [102] #vr,#saas [102] #saas,#dataviz [100] personalized,medicine [97] #personalizedmedicine,#patientsafety [87] #datascience,#digitalhealth [84] #startup,#sensors [83] #publichealth,#datascience [82] #dataviz,publichealthbot Top Word Pairs in Tweet in G1:
[61] #personalizedmedicine,call [39] visit,website [33] personalized,medicine [30] call,today [26] #precisionmedicine,#personalizedmedicine [25] many,healthcare [25] healthcare,organizations [25] organizations,talk [25] talk,focused [25] focused,overcoming Top Word Pairs in Tweet in G2:
[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 [13] read,more [12] use,data Top Word Pairs in Tweet in G3:
[106] #digitalhealth,#personalizedmedicine [90] #sensors,#vr [90] #vr,#saas [90] #saas,#dataviz [86] #personalizedmedicine,#patientsafety [77] #datascience,#digitalhealth [76] #patientsafety,sciencecommuni2 [74] #startup,#sensors [74] #publichealth,#datascience [71] #dataviz,publichealthbot Top Word Pairs in Tweet in G4:
[12] personalized,medicine [7] #personalizedmedicine,#precisionmedicine [6] learn,more [4] precision,medicine [3] #precisionmedicine,#personalizedmedicine [3] more,#personalizedmedicine [3] cellular,reprogramming [3] reprogramming,personalized [3] medicine,each [3] each,patient Top Word Pairs in Tweet in G5:
[18] personalized,medicine [15] #fh,#fishawackhealth [12] medicine,conference [10] #personalizedmedicine,conference [9] 16th,annual [7] 3d,bioprinting [7] thanks,permedcoalition [7] #fishawackhealth,#precisionmedicine [7] #precisionmedicine,#personalizedmedicine [6] permedcoalition,#personalizedmedicine Top Word Pairs in Tweet in G6:
[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 [9] naturenano,theâ Top Word Pairs in Tweet in G7:
[16] welcome,ft3 [16] ft3,testing [16] testing,targeted [16] targeted,treatments [16] treatments,program [16] program,collective [16] collective,program [16] program,make [16] make,targeted [16] targeted,#medicine Top Word Pairs in Tweet in G8:
[20] targeting,cxcr4 [20] cxcr4,another [20] another,promising [20] promising,theranostic [20] theranostic,approach [20] approach,#personalizedmedicine [19] journalofnucmed,targeting [19] know,lower [19] lower,activity [19] activity,need Top Word Pairs in Tweet in G9:
[8] #amr,#personalizedmedicine [6] neural,progenitors [6] progenitors,biomarkers [6] biomarkers,breast [6] breast,cancer [6] cancer,hormone [6] hormone,therapy [6] therapy,more [6] more,information [6] information,paper Top Word Pairs in Tweet in G10:
[30] hiring,interested [30] interested,working [30] working,#deeplearning [30] #deeplearning,image [30] image,based [30] based,#personalizedmedicine [30] #personalizedmedicine,looking [30] looking,phd [29] pvg_mcgill,hiring [29] phd,candidaâ Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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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: