The graph represents a network of 290 Twitter users whose recent tweets contained "#CNSSummit", 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 Saturday, 02 November 2019 at 02:26 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 46-minute period from Thursday, 24 October 2019 at 03:17 UTC to Saturday, 02 November 2019 at 02:03 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 : 290
Unique Edges : 699
Edges With Duplicates : 853
Total Edges : 1552
Self-Loops : 106
Reciprocated Vertex Pair Ratio : 0.140684410646388
Reciprocated Edge Ratio : 0.246666666666667
Connected Components : 5
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 281
Maximum Edges in a Connected Component : 1545
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.505343
Graph Density : 0.0107385753490037
Modularity : 0.288477
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 290 Twitter users whose recent tweets contained "#CNSSummit", 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 Saturday, 02 November 2019 at 02:26 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 46-minute period from Thursday, 24 October 2019 at 03:17 UTC to Saturday, 02 November 2019 at 02:03 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 : #CNSSummit
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[47] cnssummit,#cnssummit [40] cns,summit [38] 10th,anniversary [38] nov,3 [37] #cnssummit,#digitalhealth [32] hat,tip [31] #cnssummit,#cnssummit2019 [28] possibilities,panel [26] spotlight,session [26] pharma,innovation Top Word Pairs in Tweet in G1:
[27] cns,summit [26] #cnssummit,#cnssummit2019 [22] #cnssummit,2019 [19] spotlight,session [16] #cnssummit,#starrcoalition [15] 10th,anniversary [15] nov,2 [14] nov,3 [13] cnssummit,#cnssummit [12] pharma,innovation Top Word Pairs in Tweet in G2:
[16] cnssummit,#cnssummit [7] tomprhoads1,carroccioamanda [7] see,u [7] cnssummit,2019 [6] little,things [5] summit,#cnssummit [5] u,#cnssummit [5] hat,tip [5] bar,luna [5] 9,00 Top Word Pairs in Tweet in G3:
[16] possibilities,panel [15] nov,3 [14] hat,tip [12] cnssummit,#cnssummit [12] taking,place [12] pharma,innovation [11] #cnssummit,#digitalhealth [10] #cnssummit,#pinksocks [10] #cnssummit,#ideapharma [10] 3,9am Top Word Pairs in Tweet in G4:
[21] #cnssummit,#digitalhealth [16] #digitalhealth,#cnssummit [9] doctor,replaced [9] replaced,computer [9] computer,next [9] next,question [9] question,doctor [9] doctor,role [9] role,#ai [9] #ai,clinical Top Word Pairs in Tweet in G5:
[7] improve,#clinicalresearch [7] #cnssummit,#cns2019 [7] #cns2019,#nviewhealth [6] nov,2 [5] special,pre [5] pre,summit [5] summit,session [5] kick,2019 [5] 2019,#cnssummit [5] session,changes Top Word Pairs in Tweet in G6:
[11] #lifesciences,#clinicaltrials [5] life,sciences [4] #cnssummit,join [4] join,acorn [4] acorn,ai's [4] ai's,svp [4] svp,ak_chatterjee [4] ak_chatterjee,cnssummit [4] gives,better [4] better,understanding Top Word Pairs in Tweet in G7:
[9] fabnhsstuff,shafiahmed5 [9] shafiahmed5,amelia_tickell [9] amelia_tickell,roylilley [9] roylilley,shanetickell [9] shanetickell,convinced [9] convinced,shafiahmed5 [9] shafiahmed5,proof [9] proof,future [9] future,indeed [9] indeed,already Top Word Pairs in Tweet in G8:
[3] president,jeremy [3] jeremy,wyatt [3] spotlight,session [3] holmusk,lundbeck [2] #actigraph,president [2] wyatt,join [2] thought,leaders [2] leaders,holmusk [2] lundbeck,_verasci [2] _verasci,optum_ventures Top Word Pairs in Tweet in G9:
[2] tomorrow,ceo [2] ceo,haririrobert [2] haririrobert,featured [2] featured,keynote [2] keynote,session [2] session,2019 [2] 2019,#cnssummit [2] #cnssummit,follow [2] follow,#cnssummit [2] #cnssummit,hashtag Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: