The graph represents a network of 2,387 Twitter users whose tweets in the requested range contained "ibm watson", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 13:18 UTC.
The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 7-hour, 2-minute period from Monday, 03 February 2020 at 02:12 UTC to Saturday, 15 February 2020 at 09:15 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 : 2387
Unique Edges : 2869
Edges With Duplicates : 1627
Total Edges : 4496
Number of Edge Types : 4
MentionsInRetweet : 2275
Mentions : 923
Tweet : 1149
Replies to : 149
Self-Loops : 1149
Reciprocated Vertex Pair Ratio : 0.024224072672218
Reciprocated Edge Ratio : 0.0473022912047302
Connected Components : 602
Single-Vertex Connected Components : 408
Maximum Vertices in a Connected Component : 1245
Maximum Edges in a Connected Component : 3142
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.402634
Graph Density : 0.000475121774096979
Modularity : 0.575356
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 2,387 Twitter users whose tweets in the requested range contained "ibm watson", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 13:18 UTC.
The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 7-hour, 2-minute period from Monday, 03 February 2020 at 02:12 UTC to Saturday, 15 February 2020 at 09:15 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 : GraphServerTwitterSearch
Graph Term : ibm watson
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:
[902] ibm,watson [197] ãƒ,ム[138] fantasy,football [136] learn,more [118] watson,health [108] machine,learning [91] energy,consumption [90] watson,fantasy [88] watson,ai [87] re,working Top Word Pairs in Tweet in G1:
[150] ibm,watson [65] ãƒ,ム[39] watson,health [38] ibm,#watson [34] blockchain,pulse [34] pulse,ibm [34] ibm,blockchain [34] blockchain,blog [30] go,art [30] art,museum Top Word Pairs in Tweet in G2:
[61] ibm,watson [20] lakisha,hall [20] hall,ibmer [20] ibmer,wife [20] wife,mother [20] mother,passionate [20] passionate,howard [20] howard,university [20] university,alum [20] alum,know Top Word Pairs in Tweet in G3:
[28] ibm,watson [23] #artificialintelligence,#ai [18] learn,more [17] #nlp,#nlproc [16] watson,health [15] powered,virtual [15] hubbucket,prosumersoft [15] natural,language [14] virtual,assistants [14] find,google Top Word Pairs in Tweet in G4:
[97] ibm,watson [33] watson,helps [32] kickoff,team [32] team,find [27] ibm,ibm [22] helps,charissat [22] charissat,foxsports [22] foxsports,kickoff [22] find,relevant [22] relevant,stats Top Word Pairs in Tweet in G5:
[128] ibm,watson [30] ai,xprize [28] watson,ai [16] nigel,greenwood [14] watson,health [14] dr,nigel [13] yes,ibm [13] watson,cool [13] cool,met [13] met,alexa Top Word Pairs in Tweet in G6:
[28] collaborated,develop [28] develop,#digital [28] #digital,#platform [28] #platform,connects [28] connects,buyers [28] buyers,sellers [28] sellers,seamless [28] seamless,secure [28] secure,trading [27] ve,learned Top Word Pairs in Tweet in G7:
[60] learn,more [58] re,working [58] working,leading [58] leading,retailers [58] retailers,help [58] help,reduce [58] reduce,energy [58] energy,consumption [52] consumption,#ai [52] #ai,iot Top Word Pairs in Tweet in G8:
[81] ibm,watson [81] fantasy,football [47] capacidade,analítica [47] analítica,ibm [47] watson,em [47] em,milhares [47] milhares,bancos [47] bancos,dados [47] dados,ajudou [47] ajudou,milhões Top Word Pairs in Tweet in G9:
[57] foxスポーツでは,ibm [57] ibm,watsonを活用して [57] watsonを活用して,nflに所属する1500人を超える選手の成績 [57] nflに所属する1500人を超える選手の成績,すべての試合の内容や負傷などのデータを瞬時に分析 [57] すべての試合の内容や負傷などのデータを瞬時に分析,キャスターは [57] キャスターは,最新の動向と統計から [57] 最新の動向と統計から,必要なときに必要な洞察を得ることができます [56] ibm_japan,foxスポーツでは [40] ãƒ,ム[10] #ã,ムTop Word Pairs in Tweet in G10:
[39] ibm,watson [19] watson,fantasy [19] fantasy,football [19] football,empresa [19] empresa,tienen [19] tienen,común [19] común,descúbralo [19] descúbralo,#escaleraia [18] ibm_mx,ibm [12] inteligencia,artificial Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: