The graph represents a network of 2,426 Twitter users whose tweets in the requested range contained "tensorflow", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 10:53 UTC.
The requested start date was Wednesday, 16 September 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 4-day, 9-hour, 46-minute period from Friday, 11 September 2020 at 14:11 UTC to Tuesday, 15 September 2020 at 23:58 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 : 2426
Unique Edges : 1576
Edges With Duplicates : 13837
Total Edges : 15413
Number of Edge Types : 5
Retweet : 6306
MentionsInRetweet : 7350
Tweet : 1055
Replies to : 144
Mentions : 558
Self-Loops : 1136
Reciprocated Vertex Pair Ratio : 0.00902837489251935
Reciprocated Edge Ratio : 0.0178951853429911
Connected Components : 273
Single-Vertex Connected Components : 180
Maximum Vertices in a Connected Component : 2018
Maximum Edges in a Connected Component : 14855
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.885096
Graph Density : 0.000797885450574107
Modularity : 0.246953
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,426 Twitter users whose tweets in the requested range contained "tensorflow", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 10:53 UTC.
The requested start date was Wednesday, 16 September 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 4-day, 9-hour, 46-minute period from Friday, 11 September 2020 at 14:11 UTC to Tuesday, 15 September 2020 at 23:58 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 : tensorflow
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:
[3663] #bigdata,#analytics [3444] #analytics,#datascience [3156] #iot,#iiot [2580] #datascience,#ai [2119] #ai,#machinelearning [2114] #python,#rstats [1872] #machinelearning,#iot [1442] #pytorch,#python [1341] #iiot,#python [1332] #iiot,#pytorch Top Word Pairs in Tweet in G1:
[736] #bigdata,#analytics [727] #analytics,#datascience [716] #iot,#iiot [516] #datascience,#ai [442] #ai,#machinelearning [420] #python,#rstats [402] #machinelearning,#iot [363] #pytorch,#python [361] #iiot,#pytorch [278] #rstats,#tensorflow Top Word Pairs in Tweet in G2:
[2677] #bigdata,#analytics [2522] #analytics,#datascience [2259] #iot,#iiot [1919] #datascience,#ai [1565] #python,#rstats [1493] #ai,#machinelearning [1361] #machinelearning,#iot [1024] #iiot,#python [988] #pytorch,#python [923] #rstats,#tensorflow Top Word Pairs in Tweet in G3:
[99] #bigdata,#analytics [92] #analytics,#datascience [81] #iot,#iiot [73] #ai,#machinelearning [72] #datascience,#ai [69] tflite,device [64] introduction,tflite [63] hyperparameter,tuning [61] high,quality [60] generating,personalized Top Word Pairs in Tweet in G4:
[198] machine,learning [186] svpino,tensorflow [179] tensorflow,currently [179] currently,popular [179] popular,end [179] end,end [179] end,platform [179] platform,machine [179] learning,free [179] free,hour Top Word Pairs in Tweet in G5:
[115] cat,score [76] recognition,tensorflow [75] cat,recognition [75] tensorflow,10 [69] tabby,tabby [69] tabby,cat [67] 10,tabby [27] egyptian,cat [17] tiger,cat [13] machine,learning Top Word Pairs in Tweet in G6:
[123] tensorflow,windows [121] dynamicwebpaige,microsoft [111] tensorflow,directml [107] microsoft,announced [107] announced,open [107] open,sourcing [107] sourcing,extension [107] extension,tensorflow [107] windows,tensorflow [107] directml,enables Top Word Pairs in Tweet in G7:
[35] 구글에서,ml [35] ml,bootcamp를 [35] bootcamp를,론칭했습니다 [35] 론칭했습니다,andrew [35] andrew,ng의 [35] ng의,deep [35] deep,learning [35] learning,specialization [35] specialization,코스를 [35] 코스를,수료하고 Top Word Pairs in Tweet in G8:
[74] #bigdata,#analytics [59] #ai,#machinelearning [44] #datascience,#bigdata [42] #computervision,action [42] action,#ai [42] #machinelearning,#datascience [42] #analytics,#iot [42] #iot,#linux [42] #linux,#java [42] #java,#reactjs Top Word Pairs in Tweet in G9:
[25] #machinelearning,#deeplearning [24] #datascience,#machinelearning [17] #iot,#iiot [14] #bigdata,#analytics [13] #nlp,#nosql [13] #analytics,#datascience [12] #deeplearning,#artificialintelligence [12] #nosql,#iot [12] #datascience,#ai [10] #iiot,#pytorch Top Word Pairs in Tweet in G10:
[12] added,pytorch [12] pytorch,onnxai [12] onnxai,dnn [12] dnn,training [12] training,deployment [12] deployment,toolbox [12] toolbox,air [12] air,pytorch [12] pytorch,#tensorflow [12] #tensorflow,onnx Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: