The graph represents a network of 2,169 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, 16 May 2022 at 06:49 UTC.
The requested start date was Monday, 16 May 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, 23-minute period from Monday, 02 May 2022 at 00:30 UTC to Sunday, 15 May 2022 at 23:53 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 : 2169
Unique Edges : 1171
Edges With Duplicates : 6778
Total Edges : 7949
Number of Edge Types : 5
Retweet : 2696
MentionsInRetweet : 3185
Mentions : 607
Tweet : 1220
Replies to : 241
Self-Loops : 1276
Reciprocated Vertex Pair Ratio : 0.0171606864274571
Reciprocated Edge Ratio : 0.0337423312883436
Connected Components : 408
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 1262
Maximum Edges in a Connected Component : 6725
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.161152
Graph Density : 0.000554611355242183
Modularity : 0.299005
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,169 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, 16 May 2022 at 06:49 UTC.
The requested start date was Monday, 16 May 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, 23-minute period from Monday, 02 May 2022 at 00:30 UTC to Sunday, 15 May 2022 at 23:53 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:
[496] #bulk,#data [312] #selling,#bulk [278] #scraping,#datamining [274] 3k,plus [257] #iot,#iiot [247] #hotels,#restaurants [247] #restaurants,#leads [246] #socialmedia,#scraping [241] #ai,#python [240] #bigdata,#analytics Top Word Pairs in Tweet in G1:
[106] #bigdata,#datascience [88] #abdsc,#bigdata [88] kirkdborne,free [78] artificial,intelligence [78] intelligence,#python [78] #python,complete [78] complete,guide [78] guide,building [78] building,intelligent [78] intelligent,apps Top Word Pairs in Tweet in G2:
[228] #ai,#python [224] #iot,#iiot [182] #bigdata,#analytics [155] #reactjs,#iot [146] #analytics,#machinelearning [137] #datascience,#ai [133] #machinelearning,#ai [130] #analytics,#datascience [127] #analytics,#bigdata [121] #bigdata,#ai Top Word Pairs in Tweet in G3:
[56] brazil,sfe [56] #cup,#closeup [56] #closeup,#closeupinternational [56] #closeupinternational,#datamining [56] #datamining,#ddd [56] #td,#territorialdata [44] sfe,terms [44] terms,#cup [33] #indústriafarmacêutica,#varejo [28] data,entry Top Word Pairs in Tweet in G4:
[458] #bulk,#data [289] #selling,#bulk [278] #scraping,#datamining [259] 3k,plus [247] #hotels,#restaurants [247] #restaurants,#leads [246] #socialmedia,#scraping [215] cursortek,#selling [194] checkout,cursortek [185] #emailslist,#socialmedia Top Word Pairs in Tweet in G5:
[14] #bigdata,#datamining [12] consumers,data [12] data,driving [12] driving,changes [12] changes,#insurance [12] #insurance,sector [12] sector,headed [12] headed,#iot [11] globaliqx,consumers [11] #iot,#bigdat Top Word Pairs in Tweet in G6:
[61] thanks,mkt_esp [60] datamining,next [60] next,peach [60] peach,vs [60] vs,bowser [60] bowser,tour [60] tour,featuring [60] featuring,course [60] course,wii [60] wii,koopa Top Word Pairs in Tweet in G7:
[32] #app,#apps [30] #datamining,#app [30] #iot,#ai [27] #bigdata,#datamining [27] #digitalmarketing,#socialmedia [25] #adtech,#bigdata [25] #ai,#chatbot [22] #seo,#digitalmarketing [20] #chatbot,#seo [18] #advertising,#datamining Top Word Pairs in Tweet in G8:
[3] #cannabis,#potstocks [2] gtbif,tcnnf [2] #beauty,smaller [2] smaller,#marketcap [2] #marketcap,#cannabis [2] #cannabis,#personally [2] #personally,control [2] control,#destiny [2] #destiny,#join [2] #join,#cannabismafia Top Word Pairs in Tweet in G9:
[39] conocías,orange [39] orange,software [39] software,abierto [39] abierto,data [39] data,mining [39] mining,análisis [39] análisis,visualización [39] visualización,datos [39] datos,incluye [39] incluye,recursos Top Word Pairs in Tweet in G10:
[57] swisf,skur [42] #datamining,#bigtech [41] skur,#sekur [41] sekurprivate,swisf [39] #sekur,#privacy [17] #cybersecurity,#datamining [12] #privacy,#datamining [10] #privacy,#smallcaps [10] #smallcaps,#cybersecurity [9] #bigtech,hosting Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G10:
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: