The graph represents a network of 1,248 Twitter users whose tweets in the requested range contained "iiot bigdata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 September 2022 at 11:01 UTC.
The requested start date was Friday, 16 September 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 1-day, 21-hour, 52-minute period from Wednesday, 14 September 2022 at 02:07 UTC to Friday, 16 September 2022 at 00:00 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 : 1248
Unique Edges : 973
Edges With Duplicates : 16134
Total Edges : 17107
Number of Edge Types : 5
MentionsInRetweet : 8726
Mentions : 709
Retweet : 6866
Tweet : 775
Replies to : 31
Self-Loops : 1096
Reciprocated Vertex Pair Ratio : 0.00795228628230616
Reciprocated Edge Ratio : 0.0157790927021696
Connected Components : 25
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 1217
Maximum Edges in a Connected Component : 16955
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.268043
Graph Density : 0.00260625501202887
Modularity : 0.138613
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,248 Twitter users whose tweets in the requested range contained "iiot bigdata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 September 2022 at 11:01 UTC.
The requested start date was Friday, 16 September 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 1-day, 21-hour, 52-minute period from Wednesday, 14 September 2022 at 02:07 UTC to Friday, 16 September 2022 at 00:00 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 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:
[4760] #bigdata,#analytics [2714] #iot,#iiot [2664] #analytics,#datascience [2234] #datascience,#ai [2162] #python,#rstats [2093] #iiot,#python [1857] #analytics,#ai [1761] #cybersecurity,#bigdata [1663] #sql,#cybersecurity [1631] #datascience,#sql Top Word Pairs in Tweet in G1:
[2066] #bigdata,#analytics [1100] #analytics,#datascience [989] #iot,#iiot [902] #cybersecurity,#bigdata [885] #datascience,#ai [875] #python,#rstats [850] #sql,#cybersecurity [848] #iiot,#python [824] #analytics,#ai [808] #datascience,#sql Top Word Pairs in Tweet in G2:
[1087] #bigdata,#analytics [684] #iot,#iiot [668] #analytics,#datascience [606] #datascience,#ai [356] #analytics,#ai [326] #machinelearning,#bigdata [324] #iiot,#python [316] #ai,#ml [314] #python,#rstats [305] #ai,#iot Top Word Pairs in Tweet in G3:
[900] #bigdata,#analytics [787] #iot,#iiot [645] #analytics,#datascience [526] #datascience,#ai [515] #python,#rstats [434] #iiot,#python [387] #ai,#machinelearning [370] #machinelearning,#iot [256] #analytics,#ai [210] #iiot,#pytorch Top Word Pairs in Tweet in G4:
[199] #bigdata,#analytics [147] #datascience,#sql [146] #machinelearning,#datascience [128] #sql,#cybersecurity [127] #cybersecurity,#bigdata [122] #iiot,#python [97] #python,#rstats [92] #analytics,#datascience [90] #analytics,#ai [83] #ai,#iiot Top Word Pairs in Tweet in G5:
[306] #bigdata,#analytics [264] #cybersecurity,#bigdata [246] #sql,#cybersecurity [242] #analytics,#ai [234] #ai,#iiot [233] #datascience,#sql [222] #iiot,#python [217] #machinelearning,#datascience [172] #python,#rstats [52] #analytics,#datascience Top Word Pairs in Tweet in G6:
[110] #ml,#datascience [109] #ai,#ml [108] #artificialintelligence,#ai [108] #datascience,#datascientists [108] #datascientists,#codenewbies [107] #codenewbies,#tech [87] #bigdata,#analytics [58] machine,learning [57] #iiot,#python [52] #iot,#iiot Top Word Pairs in Tweet in G7:
[65] #bigdata,#analytics [62] #iiot,#python [58] #iot,#iiot [54] #analytics,#datascience [52] #datascience,#ai [51] #python,#rstats [50] #ai,#machinelearning [50] #machinelearning,#iot [44] machine,learning [42] #rstats,#tens Top Word Pairs in Tweet in G8:
[16] #artificialintelligence,#ai [16] #ai,#ml [16] #ml,#datascience [15] #analytics,#bigdata [14] #ai,#datascience [14] #datascience,#machinelearning [14] #machinelearning,tools [14] tools,profile [14] profile,#100daysofcode [14] #100daysofcode,#analytics Top Word Pairs in Tweet in G9:
[16] #cryptocurrency,#ai [16] #ai,#datascience [15] #datascience,#coding [12] #coding,#programming [10] #programming,#engineering [5] #engineering,#datascientist [5] bp,#cryptocurrency [3] bp,mainnet [3] soon,#cryptocurrency [2] #datascientist,#bigdata Top Word Pairs in Tweet in G10:
[86] #analytics,#5g [86] #5g,#machinelearning [86] #machinelearning,#ai [86] #ai,#python [72] #python,#rstats [65] bhubaneshwar,#analytics [36] surgeon,bhubaneshwar [29] best,orthopedic [21] doctor,patna [21] patna,#analytics 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 G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
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Top Tweeters in G10: