The graph represents a network of 2,392 Twitter users whose tweets in the requested range contained "iot bigdata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 December 2022 at 12:45 UTC.
The requested start date was Wednesday, 07 December 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, 9-hour, 40-minute period from Sunday, 04 December 2022 at 15:19 UTC to Wednesday, 07 December 2022 at 00:59 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 : 2392
Unique Edges : 1858
Edges With Duplicates : 15126
Total Edges : 16984
Number of Edge Types : 5
Retweet : 6363
MentionsInRetweet : 7750
Tweet : 1349
Mentions : 1472
Replies to : 50
Self-Loops : 2289
Reciprocated Vertex Pair Ratio : 0.0167261792896072
Reciprocated Edge Ratio : 0.032902033271719
Connected Components : 88
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 2271
Maximum Edges in a Connected Component : 16772
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.539865
Graph Density : 0.000945924586206077
Modularity : 0.2181
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,392 Twitter users whose tweets in the requested range contained "iot bigdata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 December 2022 at 12:45 UTC.
The requested start date was Wednesday, 07 December 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, 9-hour, 40-minute period from Sunday, 04 December 2022 at 15:19 UTC to Wednesday, 07 December 2022 at 00:59 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 : iot bigdata
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:
[3605] #bigdata,#analytics [2671] #analytics,#datascience [2209] #iot,#iiot [2166] #ai,#machinelearning [2013] #python,#rstats [1880] #datascience,#ai [1853] #machinelearning,#iot [1199] #pytorch,#python [1050] #rstats,#tensorflow [946] #iiot,#python Top Word Pairs in Tweet in G1:
[623] #bigdata,#analytics [455] #analytics,#datascience [263] #datascience,#iot [243] #python,#javascript [235] #ai,#machinelearning [221] #python,#rstats [214] #iot,#iiot [208] #iot,#python [199] #machinelearning,#iot [191] #datascience,#ai Top Word Pairs in Tweet in G2:
[1300] #bigdata,#analytics [955] #analytics,#datascience [838] #ai,#machinelearning [745] #machinelearning,#iot [743] #python,#rstats [733] #datascience,#ai [643] #iot,#iiot [449] #pytorch,#python [399] #rstats,#tensorflow [392] #iiot,#python Top Word Pairs in Tweet in G3:
[79] #dataviz,alicjagosiewska [79] alicjagosiewska,hbaniecki [79] tus,#dataviz [79] hbaniecki,#datascience [79] manera,efectiva [79] utilizar,colores [79] #datascience,#stats [79] colores,manera [79] efectiva,tus [79] cómo,utilizar Top Word Pairs in Tweet in G4:
[589] #bigdata,#analytics [580] #analytics,#datascience [558] #iot,#iiot [510] #python,#rstats [414] #ai,#machinelearning [412] #datascience,#ai [394] #machinelearning,#iot [380] #pytorch,#python [380] #iiot,#pytorch [234] #rstats,#tensorflow Top Word Pairs in Tweet in G5:
[389] #iot,#iiot [329] #iiot,#iotpl [296] #ai,#ml [281] #bigdata,#analytics [197] #datascience,#bigdata [196] #datascience,#analytics [187] #analytics,#bigdata [180] #programming,#coding [165] #ai,#machinelearning [164] #analytics,#ai Top Word Pairs in Tweet in G6:
[265] #bigdata,#analytics [173] #python,#rstats [161] #ai,#machinelearning [154] #iiot,#python [153] #iot,#iiot [152] #machinelearning,#iot [148] #analytics,#datascience [136] #rstats,#tensorflow [127] #datascience,#ai [111] #analytics,#ai Top Word Pairs in Tweet in G7:
[99] tut_ml,learn [86] online,courses [83] #programming,#coding [83] #bigdata,#analytics [83] #datascientist,#programming [79] courses,#datascientist [79] data,science [73] learn,sql [73] science,online [69] sql,data Top Word Pairs in Tweet in G8:
[141] #bigdata,#analytics [138] #analytics,#datascience [134] #datascience,#ai [133] #ai,#machinelearning [88] #machinelearning,#iot [79] #iot,#pytorch [79] #pytorch,#python [64] #python,#rstats [46] technology,#bigdata [46] warsaw,university Top Word Pairs in Tweet in G9:
[170] #bigdata,#analytics [123] #analytics,#datascience [89] #iot,#iiot [77] #datascience,#ai [76] #ai,#machinelearning [74] #python,#rstats [67] #machinelearning,#iot [49] #rstats,#tensorflow [47] #iiot,#pytorch [47] #iiot,#python Top Word Pairs in Tweet in G10:
[36] #ai,#iot [28] #iot,#bigdata [23] read,more [22] more,#ai [16] #ai,#machinelearning [15] #machinelearning,#iot [14] #bigdata,#analytics [11] #iot,#5g [11] #bigdata,#artificialintelligence [9] #bigdata,#machinelearning Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
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: