The graph represents a network of 1,081 Twitter users whose tweets in the requested range contained "iiot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 January 2022 at 12:12 UTC.
The requested start date was Friday, 14 January 2022 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 2-day, 8-hour, 13-minute period from Tuesday, 11 January 2022 at 16:46 UTC to Friday, 14 January 2022 at 01:00 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 : 1081
Unique Edges : 864
Edges With Duplicates : 15576
Total Edges : 16440
Number of Edge Types : 5
Retweet : 7180
MentionsInRetweet : 8463
Mentions : 369
Tweet : 418
Replies to : 10
Self-Loops : 527
Reciprocated Vertex Pair Ratio : 0.00577579417169861
Reciprocated Edge Ratio : 0.0114852518924563
Connected Components : 7
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 1074
Maximum Edges in a Connected Component : 16431
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.277229
Graph Density : 0.00328142666255525
Modularity : 0.133825
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,081 Twitter users whose tweets in the requested range contained "iiot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 January 2022 at 12:12 UTC.
The requested start date was Friday, 14 January 2022 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 2-day, 8-hour, 13-minute period from Tuesday, 11 January 2022 at 16:46 UTC to Friday, 14 January 2022 at 01:00 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 : iiot machinelearning
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:
[3296] #bigdata,#analytics [2903] #analytics,#datascience [2692] #iot,#iiot [2635] #ai,#machinelearning [2473] #datascience,#ai [1889] #machinelearning,#iot [1069] #iiot,#python [1012] #iiot,#pytorch [957] #python,#rstats [876] #machinelearning,#bigdata Top Word Pairs in Tweet in G1:
[2201] #bigdata,#analytics [1994] #analytics,#datascience [1782] #iot,#iiot [1670] #datascience,#ai [1653] #ai,#machinelearning [1250] #machinelearning,#iot [657] #iiot,#python [651] #iiot,#pytorch [580] #python,#rstats [557] #machinelearning,#bigdata Top Word Pairs in Tweet in G2:
[594] #bigdata,#analytics [502] #analytics,#datascience [456] #datascience,#ai [430] #iot,#iiot [408] #ai,#machinelearning [343] #machinelearning,#iot [235] #python,#rstats [222] #iiot,#python [189] #machinelearning,#bigdata [145] #iiot,#pytorch Top Word Pairs in Tweet in G3:
[207] #bigdata,#analytics [172] #analytics,#datascience [168] #ai,#machinelearning [159] #iot,#iiot [142] #datascience,#ai [115] #machinelearning,#iot [98] #artificialintelligence,#iiot [88] #iiot,#machinelearning [75] #iiot,#python [72] #100daysofcode,#dataanalytics Top Word Pairs in Tweet in G4:
[92] #ai,#machinelearning [89] #iot,#iiot [73] #bigdata,#analytics [63] gave,kred [62] kred,#influence [49] #analytics,#datascience [46] #datascience,#ai [39] #machinelearning,#iot [37] #iiot,#iotpl [36] #machinelearning,#100daysofcode Top Word Pairs in Tweet in G5:
[121] #ai,#machinelearning [91] #machinelearning,#100daysofcode [89] #dataanalytics,#datascientists [88] #100daysofcode,#dataanalytics [86] #datascientists,#iiot [65] #iiot,#pytorch [60] machine,learning [56] #pytorch,#rstats [51] yuhelenyu,machine [41] #bigdata,#analytics Top Word Pairs in Tweet in G6:
[152] #iot,#iiot [119] #bigdata,#analytics [117] #analytics,#datascience [115] #ai,#machinelearning [98] #datascience,#ai [71] #machinelearning,#iot [52] #iiot,#python [46] #python,#rstats [41] #rstats,#reactjs [39] #machinelearning,#ai Top Word Pairs in Tweet in G7:
[64] #artificialintelligence,#iiot [64] #iiot,#machinelearning [59] #ai,#machinelearning [48] infographic,brief [48] brief,history [48] history,#datascience [48] catherineadenle,#artificialintelligence [39] #machinelearning,#100daysofcode [39] mt,catherineadenle [37] cloudpreacher,infographic Top Word Pairs in Tweet in G8:
[18] #bigdata,#analytics [17] #ai,#bigdata [13] #machinelearning,#iot [11] #iot,#iiot [10] #ai,#machinelearning [9] #analytics,#datascience [7] #iiot,#python [7] #python,#tensorflow [7] #datascience,#ai [7] #tech,#innovation Top Word Pairs in Tweet in G9:
[2] using,#ai [2] #ai,#machinelearning [2] #machinelearning,improve [2] improve,health [2] health,#insurance [2] #insurance,process [2] process,godfrey_rono Top Word Pairs in Tweet in G10:
[7] #100daysofcode,#dataanalytics [7] #dataanalytics,#datascientists [6] #datascientists,#iiot [5] botsecx,xoce_q [5] xoce_q,codailychalleng [5] codailychalleng,caless22 [5] caless22,deep [5] deep,learning [5] learning,model [5] model,extract Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: