The graph represents a network of 424 Twitter users whose recent tweets contained "BigData lang:it", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18.000 tweets. The network was obtained from Twitter on Wednesday, 21 October 2020 at 08:08 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 15-minute period from Tuesday, 13 October 2020 at 04:46 UTC to Wednesday, 21 October 2020 at 08:01 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 : 424
Unique Edges : 965
Edges With Duplicates : 310
Total Edges : 1275
Self-Loops : 109
Reciprocated Vertex Pair Ratio : 0,0397553516819572
Reciprocated Edge Ratio : 0,0764705882352941
Connected Components : 35
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 330
Maximum Edges in a Connected Component : 1158
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4,067733
Graph Density : 0,00568714037200589
Modularity : 0,606008
NodeXL Version : 1.0.1.441
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=238388
Data Import : The graph represents a network of 424 Twitter users whose recent tweets contained "BigData lang:it", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18.000 tweets. The network was obtained from Twitter on Wednesday, 21 October 2020 at 08:08 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 15-minute period from Tuesday, 13 October 2020 at 04:46 UTC to Wednesday, 21 October 2020 at 08:01 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 : TwitterSearch
Graph Term : BigData lang:it
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Vertex Radius : Betweenness Centrality
Vertex Alpha : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[89] #ai,#iot [64] #bigdata,#ai [42] #cloud,#iot [41] #iot,#5g [41] #driverless,#selfdriving [41] #tech,#technology [41] #technology,#startup [41] #startup,#startups [41] #bigdata,#cloud [38] #ai,#bigdata Top Word Pairs in Tweet in G1:
[34] #datascience,#bigdata [30] #data,#datascience [30] #ai,#bigdata [29] #infografica,di [26] attraverso,sinergica [26] sinergica,collaborazione [26] collaborazione,di [26] di,dati [26] dati,matematica [26] matematica,e Top Word Pairs in Tweet in G2:
[30] #bigdata,#ai [25] #ai,#iot [14] #iot,#tech [14] #tech,#data [14] #data,#usa [14] #usa,#linux [14] #linux,#uk [14] #uk,#javascript [14] #javascript,#fintech [14] #fintech,#datascience Top Word Pairs in Tweet in G3:
[35] an_bion,sole24ore [35] ey_italy,swg_research [35] swg_research,cesareavenia [35] cesareavenia,eunewsit [35] eunewsit,n4ik3 [34] #bigdata,#cloud [34] #cloud,#iot [34] #iot,#cybersecurity [34] #cybersecurity,#mobile [34] #mobile,l'italia Top Word Pairs in Tweet in G4:
[7] #robot,#ai [5] #ai,e [5] e,#bigdata [5] #bigdata,insidiano [5] insidiano,anche [5] anche,professioni [5] professioni,intellettuali [5] intellettuali,quale [5] quale,futuro [5] futuro,x Top Word Pairs in Tweet in G5:
[17] #bigdata,#ai [14] stocks,data [14] data,centers [14] #datacenter,#stocks [14] #stocks,#investment [14] #investment,#hosting [14] #hosting,#cloudcomputing [14] #cloudcomputing,#bigdata [14] #ai,#iot [14] #iot,#analytics Top Word Pairs in Tweet in G6:
[2] di,dati Top Word Pairs in Tweet in G7:
[31] #ai,#iot [31] #iot,#5g [31] #driverless,#selfdriving [31] #tech,#technology [31] #technology,#startup [31] #startup,#startups [25] #selfdrivingcars,#ai [25] #5g,#autonomous [25] #autonomous,#driverlesscars [25] #driverlesscars,#autonomousvehicles Top Word Pairs in Tweet in G8:
[8] leggi,di [8] di,più [8] più,nella [8] nella,#rassegnastampa [8] #rassegnastampa,di [8] di,oggi [6] #timbigdata,è [6] è,suite [6] suite,di [6] di,#olivetti Top Word Pairs in Tweet in G9:
[9] il,turismo [9] turismo,spagnolo [9] spagnolo,scommette [9] scommette,sulla [9] sulla,digitalizzazione [9] digitalizzazione,per [9] per,far [9] far,ripartire [9] ripartire,il [9] il,settore Top Word Pairs in Tweet in G10:
[7] per,gestione [6] ne,parla [6] parla,sul [6] di,artexehealth [5] #iot,#bigdata [4] sul,blog [4] blog,di [4] gestione,delle [4] delle,liste [4] artexehealth,#patientjourney Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 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: