The graph represents a network of 2,393 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, 13 June 2022 at 06:50 UTC.
The requested start date was Monday, 13 June 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, 22-minute period from Monday, 30 May 2022 at 00:02 UTC to Sunday, 12 June 2022 at 23:24 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 : 2393
Unique Edges : 1160
Edges With Duplicates : 6638
Total Edges : 7798
Number of Edge Types : 5
Retweet : 2682
MentionsInRetweet : 3225
Tweet : 1133
Replies to : 168
Mentions : 590
Self-Loops : 1184
Reciprocated Vertex Pair Ratio : 0.0197718631178707
Reciprocated Edge Ratio : 0.0387770320656227
Connected Components : 460
Single-Vertex Connected Components : 222
Maximum Vertices in a Connected Component : 1131
Maximum Edges in a Connected Component : 5799
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.301436
Graph Density : 0.000468548875133297
Modularity : 0.323218
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,393 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, 13 June 2022 at 06:50 UTC.
The requested start date was Monday, 13 June 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, 22-minute period from Monday, 30 May 2022 at 00:02 UTC to Sunday, 12 June 2022 at 23:24 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:
[602] ø,ø [448] ø,ù [444] #bulk,#data [415] ù,ø [292] #selling,#bulk [282] kirkdborne,free [281] #scraping,#datamining [256] ù,ù [250] #hotels,#restaurants [250] #restaurants,#leads Top Word Pairs in Tweet in G1:
[211] kirkdborne,free [154] ebook,pdf [124] free,pdf [119] 100,free [115] kirkdborne,100 [114] free,630 [114] 630,#probability [114] #probability,ebook [114] pdf,check [114] check,top Top Word Pairs in Tweet in G2:
[444] #bulk,#data [292] #selling,#bulk [281] #scraping,#datamining [250] #hotels,#restaurants [250] #restaurants,#leads [249] #socialmedia,#scraping [238] 3k,plus [211] #analytics,#bigdata [204] checkout,cursortek [202] cursortek,#selling Top Word Pairs in Tweet in G3:
[35] ù,ø [32] data,entry [31] ø,ø [24] ø,ù [22] data,mining [18] ù,ù [15] #datamining,#internetresearch [14] datamining,reveals [12] #dataentry,#datamining [10] #copypaste,#datamining Top Word Pairs in Tweet in G4:
[22] #bigdata,#datamining [20] #ai,#machinelearning [18] #datascience,#datamining [17] #datamining,#datascience [17] globaliqx,data [16] data,analytics [14] #datascience,#bigdata [13] data,dollars [13] dollars,turn [13] turn,data Top Word Pairs in Tweet in G5:
[94] datamining,sf6 [94] sf6,website [93] saiferoth,datamining Top Word Pairs in Tweet in G6:
[57] perfect,website [57] website,test [57] test,crawler [57] crawler,crawler's [57] crawler's,settings [57] settings,#seo [57] #seo,#webdevelopment [56] datachaz,perfect [53] #webdevelopment,#datamininâ [3] #webdevelopment,#dataminin Top Word Pairs in Tweet in G7:
[65] cat,tour [62] kart_tour,news [45] news,datamining [31] datamining,special [31] special,pipes [31] pipes,one [31] one,week [31] week,pipe [31] pipe,cat [31] tour,going Top Word Pairs in Tweet in G8:
[24] bloggers,rbloggers [24] rbloggers,#rstats [24] #rstats,#datascience [24] paladins,rwby [24] rwby,datamining [23] realm_leaks,paladins [19] data,management [19] management,multi [19] multi,cloud [19] cloud,world Top Word Pairs in Tweet in G9:
[44] uh,sure [44] sure,datamining [44] datamining,fe [44] fe,warriors [44] warriors,three [44] three,hopes [44] hopes,quick [44] quick,look [44] look,files [44] files,note Top Word Pairs in Tweet in G10:
[406] ø,ø [302] ø,ù [263] ù,ø [177] ù,ù [47] الصغيرة,والمتوسطة [46] øªø,ø [42] المؤسسات,الصغيرة [42] ùšø,ø [38] ø,ùˆø [37] ù,øªø Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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: