The graph represents a network of 3,542 Twitter users whose recent tweets contained "#JPM19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 08 January 2019 at 04:13 UTC.
The tweets in the network were tweeted over the 1-day, 4-hour, 32-minute period from Sunday, 06 January 2019 at 23:35 UTC to Tuesday, 08 January 2019 at 04:08 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 : 3542
Unique Edges : 6719
Edges With Duplicates : 3335
Total Edges : 10054
Self-Loops : 1146
Reciprocated Vertex Pair Ratio : 0.0506531204644412
Reciprocated Edge Ratio : 0.0964221577565962
Connected Components : 282
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 3043
Maximum Edges in a Connected Component : 9507
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.584781
Graph Density : 0.000577170456718116
Modularity : 0.547781
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[250] san,francisco [237] healthcare,conference [173] drug,pricing [167] jpm19,jpm2019 [162] jpm19,jpmhc19 [138] pricing,jpm19 [136] let's,try [136] try,defuse [136] defuse,concerns [136] concerns,drug Top Word Pairs in Tweet in G1:
[73] healthcare,conference [51] san,francisco [40] recycling,m [40] m,capital [40] capital,important [40] important,refueling [40] refueling,younger [40] younger,biotech's [40] biotech's,lly's [40] lly's,loxo Top Word Pairs in Tweet in G2:
[105] startuphealth,festival [95] jpm19,startuphealth [83] startuphealth,jpm19 [74] jpm19,jpm2019 [57] docsf19,jpm19 [46] voice,tech [45] jpm19,jpmhc19 [45] emerging,jpm19 [45] jpm19,s [45] tech,health Top Word Pairs in Tweet in G3:
[59] buy,loxo [57] 8,billion [55] billion,huge [55] huge,bet [55] bet,cancer [55] cancer,genetics [53] lly,buy [52] matthewherper,spoke [52] genetics,matthewherper [51] breaking,lly Top Word Pairs in Tweet in G4:
[133] drug,pricing [113] let's,try [113] try,defuse [113] defuse,concerns [113] concerns,drug [113] pricing,jpm19 [113] jpm19,sounds [113] sounds,good [113] good,logo [112] brianreid,let's Top Word Pairs in Tweet in G5:
[55] decode,human [55] human,immune [55] immune,system [53] re,using [53] using,ai [53] ai,decode [53] system,partnership [53] partnership,adaptivebiotech [53] adaptivebiotech,learn [53] learn,progress Top Word Pairs in Tweet in G6:
[16] san,francisco [8] loxo,oncology [7] healthcare,conference [7] jpm19,jpm2019 [6] jpm19,starts [6] 8b,buyout [6] buyout,loxo [5] check,out [5] starts,eli [5] eli,lilly's Top Word Pairs in Tweet in G7:
[23] ai,drugdiscovery [15] r,d [15] 26m,series [15] series,b [15] accelerate,scaling [14] re,focusing [14] focusing,r [14] d,investment [14] investment,science [14] science,related Top Word Pairs in Tweet in G8:
[27] repeat,investors [27] digitalhealth,bubble [26] 2018,saw [26] saw,more [26] more,funding [26] funding,more [26] more,repeat [26] investors,digitalhealth [26] bubble,think [25] rock_health,2018 Top Word Pairs in Tweet in G9:
[5] join,alexis [5] alexis,normand [5] normand,head [5] head,embleema [5] embleema,blockchain [5] blockchain,consortium [5] consortium,tomorrow [5] tomorrow,january [5] january,8th [5] 8th,11 Top Word Pairs in Tweet in G10:
[8] new,friends [8] indiebio,hax [7] fun,w [7] w,indiebio [7] hax,alumni [7] alumni,old [7] old,new [7] friends,investors [7] investors,jpm19 [7] jpm19,sequoia Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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