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 Saturday, 21 November 2020 at 03:50 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 79-day, 10-hour, 7-minute period from Tuesday, 01 September 2020 at 06:59 UTC to Thursday, 19 November 2020 at 17:07 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 : 910
Edges With Duplicates : 2297
Total Edges : 3207
Number of Edge Types : 5
Retweet : 943
MentionsInRetweet : 1325
Mentions : 521
Tweet : 399
Replies to : 19
Self-Loops : 413
Reciprocated Vertex Pair Ratio : 0.0519818063677713
Reciprocated Edge Ratio : 0.0988264360716492
Connected Components : 233
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 570
Maximum Edges in a Connected Component : 1818
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.589212
Graph Density : 0.000902321848561524
Modularity : 0.493026
NodeXL Version : 1.0.1.441
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 Saturday, 21 November 2020 at 03:50 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 79-day, 10-hour, 7-minute period from Tuesday, 01 September 2020 at 06:59 UTC to Thursday, 19 November 2020 at 17:07 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:
[95] collaborative,research [95] research,aiming [95] aiming,twitter [95] twitter,based [95] based,manuscript [95] manuscript,preparation [94] _atanas_,collaborative [93] preparation,#digitalhealth [84] #digitalhealth,#personalized [65] personalized,medicine Top Word Pairs in Tweet in G1:
[94] collaborative,research [94] research,aiming [94] aiming,twitter [94] twitter,based [94] based,manuscript [94] manuscript,preparation [93] _atanas_,collaborative [92] preparation,#digitalhealth [83] #digitalhealth,#personalized [27] very,glad Top Word Pairs in Tweet in G2:
[11] personalized,medicine [8] read,more [8] #personalizedmedicine,call [6] visit,website [4] genomic,testing [4] considering,#personalizedmedicine [4] call,today [3] #compoundingpharmacy,#independentpharmacy [3] #independentpharmacy,#personalizedmedicine [3] #personalizedmedicine,#compounding Top Word Pairs in Tweet in G3:
[11] happy,share [11] author,trendsmolecmed [11] trendsmolecmed,review [11] review,co [11] co,authored [11] authored,drs [11] drs,greg_szeto [11] greg_szeto,violeta [11] violeta,rus [11] rus,discussing Top Word Pairs in Tweet in G4:
[27] personalized,medicine [15] medicine,coalition [12] research,agenda [11] patient,centered [11] centered,research [10] #covid19,#personalizedmedicine [10] coalition,releases [10] releases,patient [10] agenda,#cancer [9] collective,program Top Word Pairs in Tweet in G5:
[18] episode,season [17] #personalizedmedicine,#precisionmedicine [16] season,pmedcast [16] learn,more [12] #precisionmedicine,#podcast [12] implementation,patient [12] patient,centric [12] centric,value [12] value,network [12] network,future Top Word Pairs in Tweet in G6:
[22] deadline,submit [22] submit,abstract [22] abstract,special [22] special,interest [22] interest,group [22] group,drug [22] drug,design [22] design,october [22] october,10th [22] 10th,miss Top Word Pairs in Tweet in G7:
[15] eu_commission,approves [15] centres,excellence [14] approves,two [14] two,centres [14] excellence,hpc [14] hpc,applications [14] applications,led [14] led,bsc [14] bsc,specialized [13] bsc_cns,eu_commission Top Word Pairs in Tweet in G8:
[29] #ehealth,#femtech [14] high,information [14] information,content [14] content,inherent [14] inherent,#folliculogenesis [14] cyclic,profile [14] profile,#ehealth [13] #folliculogenesis,vivo [11] vivo,cyclic [10] overview,biozhena's Top Word Pairs in Tweet in G9:
[14] #now,#aha20 [14] #aha20,dr [14] dr,bonnie [14] bonnie,ky [14] ky,#personalizedmedicine [14] #personalizedmedicine,#aha20 [14] #aha20,#cardioonc [14] #cardioonc,#cardiooncology [14] #cardiooncology,novel [14] novel,practical Top Word Pairs in Tweet in G10:
[18] investoimme,23mâ [18] 23mâ,ja [18] ja,palkkaamme [18] palkkaamme,22 [18] 22,ihmistã [18] ihmistã,lisã [18] lisã,tampereelle [18] tampereelle,laser [18] laser,perheeseen [18] perheeseen,orsila Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: