The graph represents a network of 896 Twitter users whose recent tweets contained "IQVIA", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Tuesday, 05 November 2019 at 13:25 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 43-minute period from Sunday, 27 October 2019 at 14:30 UTC to Tuesday, 05 November 2019 at 13:13 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 : 896
Unique Edges : 1265
Edges With Duplicates : 1647
Total Edges : 2912
Number of Edge Types : 4
Mentions : 1495
Tweet : 1112
Retweet : 262
Replies to : 43
Self-Loops : 1116
Reciprocated Vertex Pair Ratio : 0.0645424836601307
Reciprocated Edge Ratio : 0.121258633921719
Connected Components : 283
Single-Vertex Connected Components : 263
Maximum Vertices in a Connected Component : 278
Maximum Edges in a Connected Component : 1280
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.419007
Graph Density : 0.00162485035913807
Modularity : 0.409446
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 896 Twitter users whose recent tweets contained "IQVIA", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 5,000 tweets. The network was obtained from Twitter on Tuesday, 05 November 2019 at 13:25 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 43-minute period from Sunday, 27 October 2019 at 14:30 UTC to Tuesday, 05 November 2019 at 13:13 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 : TwitterSearch
Graph Term : IQVIA
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:
[422] link,bio [271] click,link [197] iqvia,iqviacareers [141] bio,apply [113] iqvia,hiring [110] see,latest [105] great,fit [87] #sales,job [74] job,opening [72] bio,see Top Word Pairs in Tweet in G1:
[228] link,bio [145] click,link [67] bio,apply [58] iqvia,hiring [54] see,latest [48] bio,see [48] great,fit [44] #sales,job [35] see,more [35] #21卒,#就活 Top Word Pairs in Tweet in G2:
[139] link,bio [131] iqvia,iqviacareers [92] click,link [53] bio,apply [48] iqvia,hiring [44] see,latest [43] great,fit [38] latest,openings [36] job,opening [35] #sales,job Top Word Pairs in Tweet in G3:
[29] learn,more [27] hta,accelerator [15] otsukaus,janssenglobal [14] collect,deeper [14] insights,stronger [14] stronger,patient [14] patient,outcomes [14] webinar,#puttingpatientsfirst [11] find,more [11] white,paper Top Word Pairs in Tweet in G4:
[12] clinical,trials [11] find,more [9] #iqviabiotech,conference [9] #celltherapy,#genetherapy [9] #genetherapy,#clinicaltrials [7] challenges,implementing [7] implementing,#atmp [7] #atmp,clinical [7] trials,multiple [7] multiple,geographies Top Word Pairs in Tweet in G5:
[38] free,webinar [38] patient,outcomes [38] #puttingpatientsfirst,#pharma [38] #pharma,#marketing [38] #marketing,#patients [38] #patients,#eyeforpharma [30] deeper,patient [30] patient,insights [30] insights,stronger [30] stronger,patient Top Word Pairs in Tweet in G6:
[11] cnssummit,babylonhealth [11] babylonhealth,optum_ventures [11] optum_ventures,medidata [11] ak_chatterjee,iqvia_global [11] iqvia_global,akalali [10] drjbajwa,cnssummit [8] medidata,eclinical [8] eclinical,ak_chatterjee [8] visual,gains [7] akalali,gil_bashe Top Word Pairs in Tweet in G7:
[23] iqvia,iqviacareers [10] link,bio [9] click,link [7] looking,join [7] openings,companies [7] companies,more [6] jobs,open [6] open,today [6] job,opportunities [6] saic,saicjobs Top Word Pairs in Tweet in G8:
[10] fagiolifilippo,iqvia_italy [10] #aiforoperations,igeniusai [7] siamo,casa [7] casa,lago [7] lago,#aiforoperations [7] igeniusai,parleremo [7] parleremo,data [7] data,intelligence [7] intelligence,#ai [7] #ai,nelle Top Word Pairs in Tweet in G9:
[16] link,bio [11] iqvia,iqviacareers [9] click,link [6] #mexico,ny [6] #sales,job [5] job,opportunities [4] see,latest [4] apply,job [4] bio,see [4] cintas,corporation Top Word Pairs in Tweet in G10:
[7] iqvia,iqviacareers [4] arthrex,arthrex [4] arthrex,iqvia [3] latest,openings [3] iqviacareers,hmshost [3] hmshost,hmshostcareers [2] accor,accor_careers [2] accor_careers,more [2] job,opportunities [2] opportunities,iqvia Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: