The graph represents a network of 2,306 Twitter users whose recent tweets contained "#MWC2022 OR #MWC22", 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 Thursday, 10 February 2022 at 02:57 UTC.
The tweets in the network were tweeted over the 3-day, 7-hour, 16-minute period from Sunday, 06 February 2022 at 19:13 UTC to Thursday, 10 February 2022 at 02:30 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 : 2306
Unique Edges : 11303
Edges With Duplicates : 52993
Total Edges : 64296
Number of Edge Types : 5
Retweet : 15826
MentionsInRetweet : 39650
Replies to : 1076
Mentions : 7368
Tweet : 376
Self-Loops : 1874
Reciprocated Vertex Pair Ratio : 0.0432497467071935
Reciprocated Edge Ratio : 0.0829135053110774
Connected Components : 159
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 2020
Maximum Edges in a Connected Component : 63963
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.083364
Graph Density : 0.00309952533520967
Modularity : 0.144525
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,306 Twitter users whose recent tweets contained "#MWC2022 OR #MWC22", 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 Thursday, 10 February 2022 at 02:57 UTC.
The tweets in the network were tweeted over the 3-day, 7-hour, 16-minute period from Sunday, 06 February 2022 at 19:13 UTC to Thursday, 10 February 2022 at 02:30 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 : #MWC2022 OR #MWC22
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[9020] #100daysofcode,#javascript [8969] betamoroney,enilev [8963] #cx,#women [8963] #fashiontech,#insurtech [8963] #insurtech,#bigdata [8963] #javascript,#flutter [8963] #flutter,#linux [8963] #traveltech,#usa [8962] #finserv,#fashiontech [8960] #usa,#uk Top Word Pairs in Tweet in G1:
[4270] #100daysofcode,#javascript [4234] betamoroney,enilev [4232] #cx,#women [4232] #fashiontech,#insurtech [4232] #insurtech,#bigdata [4232] #javascript,#flutter [4232] #flutter,#linux [4232] #traveltech,#usa [4231] #finserv,#fashiontech [4231] #usa,#uk Top Word Pairs in Tweet in G2:
[887] #100daysofcode,#javascript [880] betamoroney,enilev [877] #ai,#mwc22 [877] #finserv,#fashiontech [875] #cx,#women [875] #ces2023,#finserv [875] #fashiontech,#insurtech [875] #insurtech,#bigdata [875] #bigdata,#100daysofcode [875] #javascript,#flutter Top Word Pairs in Tweet in G3:
[49] #cx,#women [49] #women,#ehealth [49] #ces2023,#finserv [49] #finserv,#fashiontech [49] #fashiontech,#insurtech [49] #insurtech,#bigdata [49] #bigdata,#100daysofcode [49] #100daysofcode,#javascript [49] #javascript,#flutter [49] #flutter,#linux Top Word Pairs in Tweet in G4:
[384] #mwc22,#mwc2022 [366] #flutter,#100daysofcode [365] #100daysofcode,#coding [336] #python,#javascript [265] #coding,#python [232] #technology,#innovation [226] #iot,#data [226] #datascience,#bigdata [222] #innovation,#iot [209] #bigdata,#flutter Top Word Pairs in Tweet in G5:
[3779] #cx,#women [3779] #fashiontech,#insurtech [3779] #insurtech,#bigdata [3779] #javascript,#flutter [3779] #flutter,#linux [3779] #traveltech,#usa [3778] #socialmedia,betamoroney [3778] betamoroney,enilev [3777] #finserv,#fashiontech [3777] #100daysofcode,#javascript Top Word Pairs in Tweet in G6:
[11] mwc,barcelona [11] world,congress [10] mobile,world [8] book,meeting [6] re,excited [6] learn,more [6] ready,reconnect [5] #mwc22's,exclusive [5] exclusive,industry [5] industry,city Top Word Pairs in Tweet in G7:
[43] globalntt,co [41] reduce,greenhouse [41] nokia,brivoinc [41] brivoinc,gesiconnect [41] gesiconnect,globalntt [40] control,reduce [39] greenhouse,gas [39] gas,emissions [38] #mwc22,know [38] know,#iot Top Word Pairs in Tweet in G8:
[38] feels,great [38] great,greet [38] greet,friends [38] friends,partners [38] partners,globe [38] globe,once [38] once,again [38] again,#mwc22 [38] #mwc22,barcelona [38] barcelona,greater Top Word Pairs in Tweet in G9:
[14] #mwc22,#mwc [14] #mwc22,#mobile [13] #smartphone,prediction [13] prediction,1930 [13] 1930,came [13] came,close [13] close,right [13] right,image [13] image,jimharris [13] jimharris,#mwc22 Top Word Pairs in Tweet in G10:
[19] end,2021 [19] 2021,more [19] more,32 [19] 32,000 [19] 000,sets [19] sets,huawei [19] huawei,#airpon [19] #airpon,solution [19] solution,delivered [19] delivered,over Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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: