The graph represents a network of 2,476 Twitter users whose tweets in the requested range contained "datamining", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 April 2022 at 06:50 UTC.
The requested start date was Monday, 25 April 2022 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 13-day, 23-hour, 28-minute period from Monday, 11 April 2022 at 00:29 UTC to Sunday, 24 April 2022 at 23:58 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 : 2476
Unique Edges : 1370
Edges With Duplicates : 7563
Total Edges : 8933
Number of Edge Types : 5
Retweet : 3052
MentionsInRetweet : 3701
Tweet : 1214
Mentions : 774
Replies to : 192
Self-Loops : 1286
Reciprocated Vertex Pair Ratio : 0.0173333333333333
Reciprocated Edge Ratio : 0.0340760157273919
Connected Components : 431
Single-Vertex Connected Components : 221
Maximum Vertices in a Connected Component : 1497
Maximum Edges in a Connected Component : 7522
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.974499
Graph Density : 0.000498033648275975
Modularity : 0.314284
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,476 Twitter users whose tweets in the requested range contained "datamining", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 April 2022 at 06:50 UTC.
The requested start date was Monday, 25 April 2022 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 13-day, 23-hour, 28-minute period from Monday, 11 April 2022 at 00:29 UTC to Sunday, 24 April 2022 at 23:58 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 : datamining
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:
[550] #bulk,#data [395] #selling,#bulk [318] 3k,plus [295] #analytics,#bigdata [292] #ai,#python [286] #scraping,#datamining [283] cursortek,#selling [282] #bigdata,#ai [270] #bigdata,#datascience [255] #hotels,#restaurants Top Word Pairs in Tweet in G1:
[124] download,free [124] free,ebook [124] ebook,47 [124] 47,pdf [124] pdf,#mathematics [124] #mathematics,needed [124] needed,preparation [124] preparation,introductory [124] introductory,class [124] class,#machinelearning Top Word Pairs in Tweet in G2:
[480] #bulk,#data [368] #selling,#bulk [286] 3k,plus [286] #scraping,#datamining [283] cursortek,#selling [266] #analytics,#bigdata [266] #ai,#python [255] #hotels,#restaurants [255] #restaurants,#leads [254] #socialmedia,#scraping Top Word Pairs in Tweet in G3:
[38] data,entry [31] more,info [28] data,mining [26] nationwide,list [26] list,distressed [26] distressed,homeowners [26] homeowners,listed [26] listed,mls [26] mls,#agent [26] #agent,#listing Top Word Pairs in Tweet in G4:
[28] #datascience,#machinelearning [28] data,mining [28] mining,architecture [28] architecture,catherineadenle [27] relations,between [27] between,#datascience [27] #machinelearning,#artificialintelligence [27] #artificialintelligence,#deeplearning [27] #deeplearning,#datamining [24] catherineadenle,cc Top Word Pairs in Tweet in G5:
[220] mimic,tear [110] time,#eldenring [110] #eldenring,patch [110] patch,04 [110] 04,datamining [110] datamining,start [110] start,mimic [110] tear,nerfed [110] nerfed,again [110] again,lol Top Word Pairs in Tweet in G6:
[102] pipe,amsterdam [92] kart_tour,news [69] news,datamining [54] datamining,special [54] special,pipe [54] pipe,one [54] one,week [54] week,pipe [51] pipe,green [51] green,luigi Top Word Pairs in Tweet in G7:
[51] #machine_learning,#datamining [40] machine,learning [38] data,mining [31] newoil3,#datamining [30] #datamining,newoil3 [21] newoil3,#machine_learning [19] newoil3,jamilalshaqsi [19] association,rule [19] تنقيب,البيانات [19] #datamining,#machinelearning Top Word Pairs in Tweet in G8:
[65] segun,datamining [65] datamining,zulliethewitch [65] zulliethewitch,hechicera [65] hechicera,sellen [65] sellen,aspecto [65] aspecto,bajo [65] bajo,máscara [65] máscara,puesto [64] pinopinisimo,segun [64] puesto,mano Top Word Pairs in Tweet in G9:
[42] يسرنا,دعوتكم [42] دعوتكم,لحضور [42] لحضور,أمسية [42] أمسية,الغرفة [42] الغرفة,الرمضانية [27] chamber_oman,يسرنا [23] أبريل,2022م [23] 2022م,00 [20] ss_governor,شاركونا [19] الرمضانية,الخامسة Top Word Pairs in Tweet in G10:
[38] ce,soir [38] soir,dès [38] dès,19h15 [25] jeu,combat [21] datamining,#dbfz [19] paladins,heart [19] heart,darkness [19] darkness,datamining [19] rdv,ce [19] 19h15,l'hebdo Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: