The graph represents a network of 1,209 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, 13 November 2020 at 03:49 UTC.
The requested start date was Friday, 13 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 72-day, 6-hour, 45-minute period from Tuesday, 01 September 2020 at 06:59 UTC to Thursday, 12 November 2020 at 13:44 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 : 1209
Unique Edges : 822
Edges With Duplicates : 2010
Total Edges : 2832
Number of Edge Types : 5
Retweet : 817
MentionsInRetweet : 1169
Tweet : 374
Mentions : 457
Replies to : 15
Self-Loops : 385
Reciprocated Vertex Pair Ratio : 0.0488338192419825
Reciprocated Edge Ratio : 0.0931202223766504
Connected Components : 224
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 380
Maximum Edges in a Connected Component : 1245
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.682633
Graph Density : 0.000985297903691409
Modularity : 0.50047
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,209 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, 13 November 2020 at 03:49 UTC.
The requested start date was Friday, 13 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 72-day, 6-hour, 45-minute period from Tuesday, 01 September 2020 at 06:59 UTC to Thursday, 12 November 2020 at 13:44 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:
[82] collaborative,research [82] research,aiming [82] aiming,twitter [82] twitter,based [82] based,manuscript [82] manuscript,preparation [81] _atanas_,collaborative [80] preparation,#digitalhealth [71] #digitalhealth,#personalized [56] personalized,medicine Top Word Pairs in Tweet in G1:
[82] collaborative,research [82] research,aiming [82] aiming,twitter [82] twitter,based [82] based,manuscript [82] manuscript,preparation [81] _atanas_,collaborative [80] preparation,#digitalhealth [71] #digitalhealth,#personalized [20] very,glad Top Word Pairs in Tweet in G2:
[11] personalized,medicine [8] read,more [7] #personalizedmedicine,call [5] 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:
[20] personalized,medicine [11] medicine,coalition [8] landscape,rapidly [8] rapidly,changing [8] research,agenda [8] #covid19,#personalizedmedicine [7] collective,program [7] program,make [7] virtual,discussion [7] covid,19 Top Word Pairs in Tweet in G5:
[18] episode,season [16] season,pmedcast [15] #personalizedmedicine,#precisionmedicine [15] #oncology,#machinelearning [15] #machinelearning,researchers [15] researchers,developed [15] developed,fast [15] fast,highly [15] highly,accurate [15] accurate,algorithm Top Word Pairs in Tweet in G6:
[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 G7:
[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 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:
[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 Word Pairs in Tweet in G10:
[16] such,honour [16] honour,doing [16] doing,accintouch [16] accintouch,session [16] session,heart [16] heart,women's [16] women's,health [16] health,friends [16] friends,mentors [15] drmarthagulati,such Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: