The graph represents a network of 1,470 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 February 2022 at 11:53 UTC.
The requested start date was Wednesday, 16 February 2022 at 01:01 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, 8-hour, 44-minute period from Friday, 11 February 2022 at 16:12 UTC to Wednesday, 16 February 2022 at 00:57 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 : 1470
Unique Edges : 1866
Edges With Duplicates : 15957
Total Edges : 17823
Number of Edge Types : 5
Retweet : 6758
MentionsInRetweet : 9157
Tweet : 1004
Mentions : 729
Replies to : 175
Self-Loops : 1147
Reciprocated Vertex Pair Ratio : 0.00934765314240255
Reciprocated Edge Ratio : 0.0185221674876847
Connected Components : 91
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 1328
Maximum Edges in a Connected Component : 17597
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.56726
Graph Density : 0.00235015721741385
Modularity : 0.171281
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,470 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 February 2022 at 11:53 UTC.
The requested start date was Wednesday, 16 February 2022 at 01:01 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, 8-hour, 44-minute period from Friday, 11 February 2022 at 16:12 UTC to Wednesday, 16 February 2022 at 00:57 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:
[2166] #iot,#iiot [1676] #bigdata,#analytics [1221] #machinelearning,#ai [1196] #python,#rstats [1111] #ai,#python [1107] #iiot,#pytorch [1082] #ai,#machinelearning [1040] #analytics,#datascience [854] #javascript,#reactjs [828] #python,#bigdata Top Word Pairs in Tweet in G1:
[681] #iot,#iiot [662] #bigdata,#analytics [551] #python,#rstats [437] #analytics,#datascience [330] #datascience,#ai [326] #iiot,#pytorch [309] #ai,#machinelearning [303] #machinelearning,#ai [302] #pytorch,#python [269] #ai,#python Top Word Pairs in Tweet in G2:
[721] #machinelearning,#ai [675] #ai,#python [637] #iot,#iiot [580] #bigdata,#analytics [531] #ai,#machinelearning [491] #python,#100daysofmlcode [488] #100daysofmlcode,#serverless [464] #serverless,#javascript [438] #machinelearning,#datascience [400] #javascript,#tensorflow Top Word Pairs in Tweet in G3:
[193] #bigdata,#analytics [158] #analytics,#datascience [157] #python,#rstats [148] #datascience,#ai [145] #iiot,#pytorch [136] #pytorch,#python [118] #iot,#iiot [111] #ai,#ml [108] #rstats,#tensorflow [107] #python,#bigdata Top Word Pairs in Tweet in G4:
[151] go,mpesa [92] mpesa,menu [92] menu,lipa [92] lipa,mpesa [91] fast,easy [91] easy,way [91] way,recharge [91] recharge,airtime [91] airtime,go [91] mpesa,enter Top Word Pairs in Tweet in G5:
[25] tensorflow,tensorflow [20] model,accuracy [19] tensorflow,similarity [19] similarity,supports [19] supports,key [19] key,self [19] self,supervised [19] supervised,learning [19] learning,algorithms [19] algorithms,help Top Word Pairs in Tweet in G6:
[139] ultraviolet,light [139] light,simulation [139] simulation,app [139] app,designed [138] designed,entertaining [138] entertaining,purpose [138] purpose,choose [127] #ai,#machinelearning [126] choose,colours [120] colours,#ai Top Word Pairs in Tweet in G7:
[661] #iot,#iiot [440] #javascript,#reactjs [341] #ai,#iot [322] #reactjs,#wordpress [295] #wordpress,#security [268] #iiot,#pytorch [266] #security,#defi [258] #python,#ai [249] #pytorch,#javascript [237] #iiot,#azure Top Word Pairs in Tweet in G8:
[99] machine,learning [86] deep,learning [30] learning,engineer [21] #analytics,#datascience [20] #bigdata,#analytics [20] data,science [20] learning,deep [19] learning,python [18] artificial,intelligence [18] modern,deep Top Word Pairs in Tweet in G9:
[27] machine,learning [27] deep,learning [25] natural,language [25] language,processing [25] neural,networks [23] learning,natural [23] processing,applications [23] applications,deep [23] deep,neural [23] networks,machine Top Word Pairs in Tweet in G10:
[36] #iot,#iiot [28] #machinelearning,#ai [25] #analytics,#machinelearning [25] #rstats,#reactjs [25] #reactjs,#iot [24] future,#mobility [24] #mobility,vtol [24] vtol,jetson [24] jetson,one [24] one,#analytics 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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