The graph represents a network of 1,232 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, 20 May 2022 at 10:59 UTC.
The requested start date was Friday, 20 May 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 2-day, 10-hour, 4-minute period from Tuesday, 17 May 2022 at 13:56 UTC to Friday, 20 May 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 : 1232
Unique Edges : 1338
Edges With Duplicates : 15495
Total Edges : 16833
Number of Edge Types : 5
Retweet : 7007
MentionsInRetweet : 8852
Mentions : 365
Replies to : 33
Tweet : 576
Self-Loops : 626
Reciprocated Vertex Pair Ratio : 0.00488237905015535
Reciprocated Edge Ratio : 0.00971731448763251
Connected Components : 8
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 1224
Maximum Edges in a Connected Component : 16826
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.268793
Graph Density : 0.00298564149092175
Modularity : 0.160846
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,232 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, 20 May 2022 at 10:59 UTC.
The requested start date was Friday, 20 May 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 2-day, 10-hour, 4-minute period from Tuesday, 17 May 2022 at 13:56 UTC to Friday, 20 May 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:
[5246] #bigdata,#analytics [4259] #analytics,#datascience [4183] #iot,#iiot [3364] #datascience,#ai [2986] #ai,#machinelearning [2493] #machinelearning,#iot [2332] #python,#rstats [2068] #iiot,#pytorch [1729] #pytorch,#python [1290] #iiot,#python Top Word Pairs in Tweet in G1:
[1700] #bigdata,#analytics [1454] #analytics,#datascience [1265] #iot,#iiot [1082] #datascience,#ai [1015] #ai,#machinelearning [911] #python,#rstats [840] #machinelearning,#iot [592] #iiot,#pytorch [519] #ai,#python [513] #machinelearning,#ai Top Word Pairs in Tweet in G2:
[1856] #bigdata,#analytics [1567] #iot,#iiot [1400] #analytics,#datascience [1146] #datascience,#ai [1039] #ai,#machinelearning [871] #machinelearning,#iot [725] #iiot,#pytorch [673] #python,#rstats [579] #pytorch,#python [406] #iiot,#python Top Word Pairs in Tweet in G3:
[645] #bigdata,#analytics [621] #analytics,#datascience [603] #iot,#iiot [460] #datascience,#ai [408] #ai,#machinelearning [363] #machinelearning,#iot [312] #python,#rstats [221] #iiot,#python [218] #iiot,#pytorch [194] #pytorch,#python Top Word Pairs in Tweet in G4:
[657] #bigdata,#analytics [447] #analytics,#datascience [436] #iot,#iiot [404] #iiot,#pytorch [388] #datascience,#ai [347] #pytorch,#python [306] #python,#rstats [295] #ai,#machinelearning [223] #machinelearning,#iot [163] #analytics,#ai Top Word Pairs in Tweet in G5:
[373] #bigdata,#analytics [324] #analytics,#datascience [301] #iot,#iiot [275] #datascience,#ai [222] #ai,#machinelearning [189] #machinelearning,#iot [124] #iiot,#pytorch [122] #python,#rstats [110] #deeplearning,#mlsogood [109] #pytorch,#python Top Word Pairs in Tweet in G6:
[11] important,#bigdata [11] #bigdata,applied [11] applied,improve [11] improve,operations [11] operations,aspentech [11] aspentech,#iot [10] technative,important [7] #iot,#digitaltransformation [4] shanebrighton,technative [4] #iot,#dig Top Word Pairs in Tweet in G7:
[5] #bigdata,#analytics [4] #analytics,#datascience [4] #datascience,#ai [4] #iot,#iiot [3] #ai,#machinelearning [3] #machinelearning,#iot [3] #iiot,#python [3] #python,#rstats [3] #rstats,#tensorflow [3] #tensorflow,#java Top Word Pairs in Tweet in G8:
[2] ai,industrial [2] industrial,computing [2] computing,#bigdata [2] #bigdata,#analytics [2] #analytics,#datascience [2] #datascience,#ai [2] #ai,#machinelearning [2] #machinelearning,#iot [2] #iot,#iiot Top Word Pairs in Tweet in G9:
[7] #ai,#python [7] #python,#datascience [5] #datascience,#bigdata [4] 2022,know [4] know,more [4] more,#machinelearning [4] #machinelearning,#ai [3] #datascience,#iiot [3] #5g,#100daysofcode [3] #cybersecurity,#bigdata Top Word Pairs in Tweet in G10:
[2] #infographic,#aiops [2] #aiops,#businesses [2] #businesses,need [2] need,find [2] find,graphical [2] graphical,representation [2] #iot,#iiot 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:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: