The graph represents a network of 6,315 Twitter users whose tweets in the requested range contained "chatbot", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 21 November 2020 at 13:52 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 7-day, 10-hour, 43-minute period from Thursday, 12 November 2020 at 14:18 UTC to Friday, 20 November 2020 at 01:01 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 : 6315
Unique Edges : 4500
Edges With Duplicates : 7677
Total Edges : 12177
Number of Edge Types : 5
Tweet : 3088
Retweet : 2936
MentionsInRetweet : 3668
Replies to : 1113
Mentions : 1372
Self-Loops : 3226
Reciprocated Vertex Pair Ratio : 0.0228477426430269
Reciprocated Edge Ratio : 0.044674767691208
Connected Components : 2134
Single-Vertex Connected Components : 1232
Maximum Vertices in a Connected Component : 1360
Maximum Edges in a Connected Component : 5178
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.731845
Graph Density : 0.000140345914055433
Modularity : 0.504103
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,315 Twitter users whose tweets in the requested range contained "chatbot", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 21 November 2020 at 13:52 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 7-day, 10-hour, 43-minute period from Thursday, 12 November 2020 at 14:18 UTC to Friday, 20 November 2020 at 01:01 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 : chatbot
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:
[198] #chatbot,#chatbots [194] artificial,intelligence [194] deep,learning [161] chatbot,using [155] hi,regret [155] regret,inconvenience [151] #ai,#machinelearning [151] build,chatbot [147] #chatbots,#chatbot [137] crie,chatbot Top Word Pairs in Tweet in G1:
[30] ors,automático [30] automático,#rstudio [30] #newtecs,últimos [30] últimos,10 [29] ai,chatbot [28] customer,service [23] nouvel,article [23] article,#chatbot [23] #chatbot,tweet [23] tweet,original Top Word Pairs in Tweet in G2:
[175] deep,learning [170] #chatbot,#chatbots [147] #ai,#machinelearning [142] artificial,intelligence [130] chatbot,using [129] build,chatbot [126] #chatbots,#chatbot [107] using,deep [86] tutorial,build [86] learning,#python Top Word Pairs in Tweet in G3:
[154] hi,regret [154] regret,inconvenience [116] inconvenience,caused [106] ipal,chatbot [105] regards,ipal [100] contact,details [99] dm,contact [86] clicking,link [85] details,clicking [69] please,dm Top Word Pairs in Tweet in G4:
[136] crie,chatbot [134] vamos,lançar [134] lançar,campanha [134] campanha,não [134] não,crie [133] chatbot,poderia [132] poderia,resolvido [132] resolvido,faq [131] rodrigobranas,vamos [10] gt,gt Top Word Pairs in Tweet in G5:
[53] fact,users [53] users,twice [53] twice,use [53] use,chatbots [53] chatbots,retail [53] retail,financial [53] financial,services [53] services,point [53] point,lack [53] lack,trust Top Word Pairs in Tweet in G6:
[126] provides,blockchain [63] elamachain,elamachain [63] elamachain,provides [63] blockchain,computing [63] computing,environment [63] environment,businesses [63] businesses,provides [62] scryptoschool,elamachain [62] blockchain,services Top Word Pairs in Tweet in G7:
[18] meet,kit [17] #chatbot,kit [14] monashuni,kit [14] kit,kit [14] kit,chatbot [14] chatbot,lives [14] lives,website [14] website,developed [14] developed,team [14] team,researchers Top Word Pairs in Tweet in G8:
[37] more,sales [36] sales,more [36] more,bookings [28] join,webinar [28] webinar,change [28] change,life [28] life,more [28] more,appointments [28] appointments,more [14] bookings,work Top Word Pairs in Tweet in G9:
[24] #machinelearning,#ad [13] #chatbots,#chatbot [9] thekanakiacasestudy,chatbots [9] chatbots,realestate [9] realestate,#chatbot [9] free,day [9] day,online [9] online,#workshop [9] #workshop,weekend [9] weekend,master Top Word Pairs in Tweet in G10:
[27] cadenas,whatsapp [20] nuestro,chatbot [20] igual,mande [20] mande,tía [20] tía,primo [20] primo,cuñado [20] cuñado,amigo [20] amigo,cole [20] cole,toda [20] toda,vida Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: