The graph represents a network of 1,599 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, 07 October 2022 at 02:23 UTC.
The requested start date was Friday, 07 October 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 126-day, 20-hour, 9-minute period from Wednesday, 01 June 2022 at 01:02 UTC to Wednesday, 05 October 2022 at 21:12 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 : 1599
Unique Edges : 1252
Edges With Duplicates : 4151
Total Edges : 5403
Number of Edge Types : 5
Mentions : 1039
Retweet : 1502
MentionsInRetweet : 2267
Tweet : 551
Replies to : 44
Self-Loops : 571
Reciprocated Vertex Pair Ratio : 0.0506329113924051
Reciprocated Edge Ratio : 0.0963855421686747
Connected Components : 187
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 1136
Maximum Edges in a Connected Component : 4706
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.368183
Graph Density : 0.000877034379278038
Modularity : 0.376807
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,599 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, 07 October 2022 at 02:23 UTC.
The requested start date was Friday, 07 October 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 126-day, 20-hour, 9-minute period from Wednesday, 01 June 2022 at 01:02 UTC to Wednesday, 05 October 2022 at 21:12 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:
[208] #digitalhealth,#personalizedmedicine [148] #personalizedmedicine,#patientsafety [129] #publichealth,#datascience [128] #datascience,#digitalhealth [126] #patientsafety,sciencecommuni2 [125] publichealthbot,#publichealth [115] #meded,#telemednow [102] #sensors,#vr [102] #vr,#saas [102] #saas,#dataviz Top Word Pairs in Tweet in G1:
[78] #personalizedmedicine,call [55] visit,website [39] call,today [30] learn,more [29] thinking,#personalizedmedicine [29] more,#transformlouisville [28] call,visit [28] website,find [27] considering,#personalizedmedicine [26] health,#personalizedmedicine Top Word Pairs in Tweet in G2:
[195] #digitalhealth,#personalizedmedicine [139] #personalizedmedicine,#patientsafety [120] #publichealth,#datascience [120] #patientsafety,sciencecommuni2 [119] #datascience,#digitalhealth [117] publichealthbot,#publichealth [110] #meded,#telemednow [90] #sensors,#vr [90] #vr,#saas [90] #saas,#dataviz Top Word Pairs in Tweet in G3:
[20] read,more [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 [12] use,data Top Word Pairs in Tweet in G4:
[8] personalized,medicine [7] learn,more [7] #personalizedmedicine,#precisionmedicine [4] #precisionmedicine,#personalizedmedicine [3] more,#personalizedmedicine [3] #precisionhealth,#personalizedmedicine [3] #personalizedmedicine,#immunotherapy [3] #immunotherapy,#immunocompromised [3] #immunocompromised,#nccn [3] #nccn,#infectiousdiseases Top Word Pairs in Tweet in G5:
[20] targeting,cxcr4 [20] cxcr4,another [20] another,promising [20] promising,theranostic [20] theranostic,approach [20] approach,#personalizedmedicine [19] know,lower [19] lower,activity [19] activity,need [19] need,know Top Word Pairs in Tweet in G6:
[15] read,more [13] summer,school [12] #tipat,summer [11] single,cell [10] #mayomgr,today [10] today,#visitingprofessor [10] #visitingprofessor,parhamsendi [10] parhamsendi,early [10] early,switch [10] switch,iv 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 [9] naturenano,theâ Top Word Pairs in Tweet in G8:
[17] unleashing,future [17] today,robust [17] platform,transform [16] transform,know [15] hpe,#nvidia [15] #nvidia,unleashing [15] future,#genomics [15] #genomics,today [15] robust,#ai [15] #ai,platform Top Word Pairs in Tweet in G9:
[12] 24,25 [12] 25,2022 [10] #biomedicine2022,aug [10] aug,24 [10] 2022,#toronto [10] #toronto,#canada [10] #canada,register [9] together,over [9] over,50 [9] world,scientific Top Word Pairs in Tweet in G10:
[10] permedcoalition,conference [10] conference,discussed [10] discussed,needed [10] needed,move [10] move,#personalizedmedicine [10] #personalizedmedicine,#precisionhealth [10] #precisionhealth,forward [9] dramyabernethy,permedcoalition [7] summit,pmc [7] pmc,today Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: