The graph represents a network of 235 Twitter users whose recent tweets contained "#JPMWeek", 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 Wednesday, 15 January 2020 at 23:17 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 28-minute period from Tuesday, 07 January 2020 at 20:46 UTC to Wednesday, 15 January 2020 at 22:15 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 : 235
Unique Edges : 357
Edges With Duplicates : 154
Total Edges : 511
Number of Edge Types : 5
Retweet : 67
Mentions : 126
MentionsInRetweet : 233
Replies to : 4
Tweet : 81
Self-Loops : 82
Reciprocated Vertex Pair Ratio : 0.0273224043715847
Reciprocated Edge Ratio : 0.0531914893617021
Connected Components : 34
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 155
Maximum Edges in a Connected Component : 417
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.243207
Graph Density : 0.00683760683760684
Modularity : 0.595968
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 235 Twitter users whose recent tweets contained "#JPMWeek", 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 Wednesday, 15 January 2020 at 23:17 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 28-minute period from Tuesday, 07 January 2020 at 20:46 UTC to Wednesday, 15 January 2020 at 22:15 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 : #JPMWeek
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:
[97] #jpm20,#jpm2020 [65] #jpmweek,#jpm20 [53] #jpm2020,#bioweeksf [51] #jpm20,#jpmweek [46] #jpm2020,#jpmweek [45] #jpm2020,#jpm20 [39] #bioweeksf,#genetherapy [32] #genetherapy,#celltherapy [30] mark,guide [24] #jpmweek,#bioweeksf Top Word Pairs in Tweet in G1:
[28] mark,guide [23] #jpm20,#jpmweek [18] #jpm2020,#jpm20 [13] #jpm20,#jpm2020 [12] #jpm2020,#jpmweek [11] guide,#bioweeksf [11] version,mark [9] #jpmweek,#bioweeksf [9] best,guide [8] final,version Top Word Pairs in Tweet in G2:
[10] #jpm2020,nodexl [10] nodexl,jpmorgan [10] top,hashtags [10] hashtags,#jpm2020 [10] #jpm2020,#jpm20 [10] #biotech,#jpmweek [6] #jpm2020,#jpmweek [6] jpmorgan,aminekorchimd [6] aminekorchimd,startuphealth [6] startuphealth,danmunro Top Word Pairs in Tweet in G3:
[39] #jpm2020,#bioweeksf [34] #jpmweek,#jpm20 [34] #jpm20,#jpm2020 [29] #bioweeksf,#genetherapy [29] #genetherapy,#celltherapy [24] #celltherapy,#soti20 [13] #celltherapy,#genetherapy [12] state,industry [9] laurence,cooper [9] cooper,ceo Top Word Pairs in Tweet in G4:
[5] #jpm20,#jpmweek [5] #jpmweek,#digitalmedicine [4] #jpm2020,#jpmweek [4] #digitalmedicine,#innovation [3] atai's,value [3] value,deep [3] deep,expertise [3] expertise,#mentalhealth [3] #mentalhealth,cyclica [3] cyclica,brings Top Word Pairs in Tweet in G5:
[8] #jpm20,#jpm2020 [7] asks,chrissyfarr [7] chrissyfarr,#ai [7] #ai,replace [7] replace,certain [7] certain,specialities [7] specialities,amermedicalassn [7] amermedicalassn,ai [7] ai,play [7] play,major Top Word Pairs in Tweet in G6:
[8] overheard,#jpm20 [6] #jpm20,#jpmweek [5] coming,next [5] next,#jpmweek [5] #jpmweek,oliverwyman [5] oliverwyman,samonhealth [5] samonhealth,discuss [5] discuss,innovations [5] innovations,care [5] care,delivery Top Word Pairs in Tweet in G7:
[6] #jpm2020,#jpmweek [5] #jpm20,#jpm2020 [2] san,francisco [2] during,#jpmweek [2] many,discussions [2] expect,next [2] next,week [2] week,conversations [2] conversations,shape [2] industry,both Top Word Pairs in Tweet in G8:
[11] #jpm2020,#bioweeksf [10] #jpmweek,#jpm20 [10] #jpm20,#jpm2020 [10] #bioweeksf,#genetherapy [10] #cartcell,#soti20 [8] excited,welcome [8] welcome,panelists [8] panelists,tmunitytx [8] tmunitytx,atarabio [8] atarabio,precisionbiosci Top Word Pairs in Tweet in G9:
[8] uncommon,conversations [8] conversations,#podcast [8] #podcast,bruno [8] bruno,gagnon [8] gagnon,talks [8] talks,talent [8] talent,retention [8] retention,#patientcentricity [8] #patientcentricity,more [8] more,listen Top Word Pairs in Tweet in G10:
[4] #jpm2020,#biotechshowcase [2] macdougall's,sharma1 [2] sharma1,#jpm20 [2] #jpm20,veterans [2] veterans,weighed [2] weighed,amirahalidrus's [2] amirahalidrus's,fiercebiotech [2] fiercebiotech,story [2] story,deals [2] deals,done Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
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: