The graph represents a network of 1,387 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, 16 September 2022 at 02:22 UTC.
The requested start date was Friday, 16 September 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 105-day, 19-hour, 58-minute period from Wednesday, 01 June 2022 at 01:02 UTC to Wednesday, 14 September 2022 at 21:00 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 : 1387
Unique Edges : 1073
Edges With Duplicates : 3412
Total Edges : 4485
Number of Edge Types : 5
Retweet : 1273
MentionsInRetweet : 1894
Mentions : 832
Tweet : 453
Replies to : 33
Self-Loops : 467
Reciprocated Vertex Pair Ratio : 0.0484485574305934
Reciprocated Edge Ratio : 0.0924195223260644
Connected Components : 158
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 975
Maximum Edges in a Connected Component : 3855
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.32894
Graph Density : 0.00100188204009401
Modularity : 0.388305
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,387 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, 16 September 2022 at 02:22 UTC.
The requested start date was Friday, 16 September 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 105-day, 19-hour, 58-minute period from Wednesday, 01 June 2022 at 01:02 UTC to Wednesday, 14 September 2022 at 21:00 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:
[183] #digitalhealth,#personalizedmedicine [128] #personalizedmedicine,#patientsafety [109] #patientsafety,sciencecommuni2 [104] #datascience,#digitalhealth [102] #publichealth,#datascience [102] #sensors,#vr [102] #vr,#saas [102] #saas,#dataviz [99] #meded,#telemednow [98] publichealthbot,#publichealth Top Word Pairs in Tweet in G1:
[68] #personalizedmedicine,call [44] visit,website [35] call,today [25] many,healthcare [25] healthcare,organizations [25] organizations,talk [25] talk,focused [25] focused,overcoming [25] overcoming,barriers [25] barriers,#precisionmedicine Top Word Pairs in Tweet in G2:
[170] #digitalhealth,#personalizedmedicine [119] #personalizedmedicine,#patientsafety [103] #patientsafety,sciencecommuni2 [95] #datascience,#digitalhealth [94] #meded,#telemednow [93] #publichealth,#datascience [90] #sensors,#vr [90] #vr,#saas [90] #saas,#dataviz [90] publichealthbot,#publichealth 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] read,more [19] iscb_escs,confirmed [19] anaconesa,closi [12] use,data Top Word Pairs in Tweet in G4:
[6] learn,more [6] personalized,medicine [5] #personalizedmedicine,#precisionmedicine [3] #precisionhealth,#personalizedmedicine [3] #precisionmedicine,#personalizedmedicine [3] #personalizedmedicine,#immunotherapy [3] #immunotherapy,#immunocompromised [3] #immunocompromised,#nccn [3] #nccn,#infectiousdiseases [3] #infectiousdiseases,#healthpolicy Top Word Pairs in Tweet in G5:
[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 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:
[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 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:
[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] #fh,#fishawackhealth [6] summit,pmc 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 G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: