The graph represents a network of 2,395 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 Sunday, 25 October 2020 at 02:35 UTC.
The requested start date was Sunday, 25 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 12-hour, 14-minute period from Sunday, 11 October 2020 at 00:12 UTC to Friday, 23 October 2020 at 12:26 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 : 2395
Unique Edges : 1768
Edges With Duplicates : 3920
Total Edges : 5688
Number of Edge Types : 5
Tweet : 1305
Mentions : 789
Replies to : 186
Retweet : 1460
MentionsInRetweet : 1948
Self-Loops : 1340
Reciprocated Vertex Pair Ratio : 0.0137632717263075
Reciprocated Edge Ratio : 0.0271528316524438
Connected Components : 662
Single-Vertex Connected Components : 463
Maximum Vertices in a Connected Component : 1288
Maximum Edges in a Connected Component : 4212
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.717922
Graph Density : 0.000449627897161135
Modularity : 0.458595
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,395 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 Sunday, 25 October 2020 at 02:35 UTC.
The requested start date was Sunday, 25 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 12-hour, 14-minute period from Sunday, 11 October 2020 at 00:12 UTC to Friday, 23 October 2020 at 12:26 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:
[1388] ibm,watson [245] ai,ibm [242] watson,ai [234] ai,system [219] watson,health [172] health,pass [168] watson,assistant [163] digital,health [160] using,ibm [145] watson,aiops Top Word Pairs in Tweet in G1:
[264] ibm,watson [89] watson,health [57] health,pass [52] digital,health [45] watson,aiops [29] watson,assistant [29] ibm,digital [25] health,launches [24] launches,ibm [22] ibm's,watson Top Word Pairs in Tweet in G2:
[317] ibm,watson [232] ai,system [224] ai,ibm [223] watson,ai [92] child,trafficking [92] trafficking,child [92] child,organ [92] organ,harvesting [92] harvesting,ai [62] watson,aiops Top Word Pairs in Tweet in G3:
[150] ibm,watson [70] space,race [69] race,good [69] good,humanity [68] china,space [68] voice,heard [66] ibm,think [64] think,china [64] humanity,make [64] make,voice Top Word Pairs in Tweet in G4:
[119] ibm,watson [118] brewing,quality [118] quality,beer [118] beer,balancing [118] balancing,act [118] act,between [118] between,craft [118] craft,efficiency [118] using,ibm [112] ibmasiapacific,brewing Top Word Pairs in Tweet in G5:
[34] ibm,academy [30] ibm,watson [17] today,watch [17] watch,ibm [16] explore,inventory [16] inventory,visibility [16] visibility,drastically [16] drastically,impact [16] impact,customer [16] customer,experience Top Word Pairs in Tweet in G6:
[42] ibm,watson [20] digital,health [20] health,pass [19] watson,health [17] basé,#blockchain [16] lance,passeport [15] passeport,santé [14] santé,basé [12] watson,demonstrates [12] demonstrates,natural Top Word Pairs in Tweet in G7:
[93] overwatch,league [91] ibm,technology [91] technology,data [91] data,services [91] services,firm [91] firm,signed [91] signed,analytic [91] analytic,sponsorship [91] sponsorship,deal [91] deal,overwatch Top Word Pairs in Tweet in G8:
[99] ibm,watson [84] watson,assistant [61] build,facebook [61] facebook,messenger [54] chatbot,ibm [45] messenger,chatbot [26] udemy,free [26] free,discount [26] discount,build [23] couponfree01,udemy Top Word Pairs in Tweet in G9:
[35] ibm,watson [23] watson,#machinelearning [23] #machinelearning,#ad [15] using,ibm [13] getting,started [13] started,ai [13] ai,using [11] partecipa,alla [11] alla,terza [11] terza,lezione Top Word Pairs in Tweet in G10:
[28] ibm,watson [9] trade,assistant [9] grc,platform [6] everyone,loves [6] loves,pizza [6] pizza,see [6] see,#ibmpartner [6] #ibmpartner,oculartech [6] oculartech,teamed [6] teamed,romans_pizza 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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