The graph represents a network of 3,380 Twitter users whose tweets in the requested range contained "smarthome", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 04 September 2021 at 02:51 UTC.
The requested start date was Saturday, 04 September 2021 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 9-day, 1-hour, 0-minute period from Wednesday, 25 August 2021 at 17:45 UTC to Friday, 03 September 2021 at 18:45 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 : 3380
Unique Edges : 2026
Edges With Duplicates : 9840
Total Edges : 11866
Number of Edge Types : 5
Tweet : 3813
Retweet : 3084
MentionsInRetweet : 3710
Mentions : 1172
Replies to : 87
Self-Loops : 3906
Reciprocated Vertex Pair Ratio : 0.0218446601941748
Reciprocated Edge Ratio : 0.0427553444180523
Connected Components : 1297
Single-Vertex Connected Components : 1016
Maximum Vertices in a Connected Component : 1462
Maximum Edges in a Connected Component : 7863
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.813409
Graph Density : 0.000258032995301646
Modularity : 0.274707
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 3,380 Twitter users whose tweets in the requested range contained "smarthome", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 04 September 2021 at 02:51 UTC.
The requested start date was Saturday, 04 September 2021 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 9-day, 1-hour, 0-minute period from Wednesday, 25 August 2021 at 17:45 UTC to Friday, 03 September 2021 at 18:45 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 : smarthome
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:
[1267] #rstats,#reactjs [1147] #iot,#iiot [1124] #machinelearning,#ai [1091] #analytics,#machinelearning [1038] #python,#rstats [1036] #ai,#python [976] #reactjs,#iot [720] #iiot,#linux [596] #iot,#smarthome [554] #linux,#serverless Top Word Pairs in Tweet in G1:
[428] #smarthome,#iobroker [428] #iobroker,#nodered [428] #nodered,#automation [428] #automation,#homematic [290] 08,2021 [222] 17,#smarthome [216] 空模様はどうでしょうか,いつか天気予報が生成できるようになりたい [216] いつか天気予報が生成できるようになりたい,co [216] #raspberrypi,#ifttt [216] #ifttt,#iot Top Word Pairs in Tweet in G2:
[376] robot,chef [376] chef,cooking [376] cooking,washes [376] washes,dishes [376] dishes,working [374] working,famous [374] famous,chefs [374] chefs,moley [365] meet,robot [364] gigadgets_,meet Top Word Pairs in Tweet in G3:
[1184] #rstats,#reactjs [1076] #iot,#iiot [1044] #machinelearning,#ai [1018] #analytics,#machinelearning [965] #python,#rstats [963] #ai,#python [917] #reactjs,#iot [672] #iiot,#linux [518] #linux,#serverless [273] #iiot,#ml Top Word Pairs in Tweet in G4:
[42] smart,home [26] #iot,#smarthome [19] #smarthome,#iot [18] #zwave,alliance [16] learn,more [14] pavilion,booth [12] #hexabitz,module [12] booth,#3346 [12] alliance,executive [12] executive,director Top Word Pairs in Tweet in G5:
[35] #machinelearning,#ai [32] #rstats,#reactjs [30] #analytics,#machinelearning [28] #iot,#iiot [27] #ai,#python [27] #python,#rstats [25] #reactjs,#iot [20] enricomolinari,#smarthome [20] #iiot,#linux [16] shifted,attitudes Top Word Pairs in Tweet in G6:
[200] robots,aspirateurs [200] aspirateurs,smartphone [198] venez,participer [198] participer,grand [198] grand,concours [198] concours,l'été [198] l'été,organisé [198] organisé,par [198] par,maisonetdomotiq [198] maisonetdomotiq,robots Top Word Pairs in Tweet in G7:
[13] #smarthome,#homeautomation [11] safe,secure [8] #homeautomation,#avtweeps [8] #avtweeps,#tech [8] #tech,cedia_emea [8] cedia_emea,#hifi [8] #hifi,#av [8] #av,#avwteeps [8] #avwteeps,#homecinema [7] wi,fi Top Word Pairs in Tweet in G8:
[6] amazon,adaptive [6] adaptive,volume [6] volume,make [6] make,#alexa [6] #alexa,speak [6] speak,louder [6] louder,noisy [6] noisy,#amazonalexa [5] glengilmore,amazon [5] #amazonalexa,#voi Top Word Pairs in Tweet in G9:
[18] integration,spotify [18] spotify,brighter [18] brighter,smart [18] smart,bulbs [18] bulbs,more [18] more,gradient [18] gradient,enabled [18] enabled,products [18] products,wish [18] wish,list Top Word Pairs in Tweet in G10:
[169] #iot,#smarthome [45] #youtube,#throwback [45] #throwback,#iot [31] home,assistant [12] assistant,co [12] #rstats,#reactjs [11] #ai,#python [11] #python,#rstats [10] clients,network [10] network,#security Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: