The graph represents a network of 1,519 Twitter users whose recent tweets contained "#MWC2023", 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 Monday, 13 February 2023 at 06:18 UTC.
The tweets in the network were tweeted over the 9-day, 12-hour, 20-minute period from Friday, 03 February 2023 at 17:20 UTC to Monday, 13 February 2023 at 05:41 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 : 1519
Unique Edges : 3870
Edges With Duplicates : 18072
Total Edges : 21942
Number of Edge Types : 5
MentionsInRetweet : 9456
Mentions : 7165
Retweet : 4434
Tweet : 297
Replies to : 590
Self-Loops : 1448
Reciprocated Vertex Pair Ratio : 0.0562602291325696
Reciprocated Edge Ratio : 0.10652721286074
Connected Components : 178
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 1136
Maximum Edges in a Connected Component : 21471
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.624129
Graph Density : 0.00223909530661685
Modularity : 0.151204
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,519 Twitter users whose recent tweets contained "#MWC2023", 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 Monday, 13 February 2023 at 06:18 UTC.
The tweets in the network were tweeted over the 9-day, 12-hour, 20-minute period from Friday, 03 February 2023 at 17:20 UTC to Monday, 13 February 2023 at 05:41 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 : #MWC2023
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:
[2949] #ehealth,#finserv [2937] #mwc23,#insurtech [2935] #cx,#ehealth [2934] #web3,#cx [2934] #digitalhealth,#web3 [2931] #socialmedia,#mwc2023 [2930] #smartcity,#5g [2930] #healthtech,#smartcity [2928] #csuite,#digitalhealth [2927] betamoroney,enilev Top Word Pairs in Tweet in G1:
[561] #web3,#metaverse [485] #mwc2023,#mwc23 [378] #innovation,#technology [352] #mwc23,#mwc2023 [351] #selfdrivingcars,#digital [346] #bigdata,#datascientists [345] #technology,#web3 [329] #digital,#machinelearning [310] #datascientists,#python [301] #metaverse,#iot Top Word Pairs in Tweet in G2:
[2682] #mwc23,#insurtech [2681] #ehealth,#finserv [2680] #cx,#ehealth [2680] #digitalhealth,#web3 [2680] #web3,#cx [2678] #socialmedia,#mwc2023 [2677] #smartcity,#5g [2677] #healthtech,#smartcity [2675] #csuite,#digitalhealth [2674] betamoroney,enilev Top Word Pairs in Tweet in G3:
[267] #ehealth,#finserv [254] #cx,#ehealth [254] #mwc23,#insurtech [254] #vive2023,#healthtech [253] #ai,#frenchtech [253] #digitalhealth,#web3 [253] #web3,#cx [253] #traveltech,#ai [252] #socialmedia,#mwc2023 [252] #csuite,#digitalhealth Top Word Pairs in Tweet in G4:
[14] mwc,2023 [12] mwc,barcelona [9] #mwc23,#mwc2023 [9] mobile,world [8] barcelona,2023 [7] world,congress [6] #mwc,#mwc2023 [6] 11,concept [5] book,meeting [5] #mwc2023,barcelona Top Word Pairs in Tweet in G5:
[12] world,congress [12] mobile,world [9] #mwc23,#mwc2023 [8] #mwc23,event [7] gsma,#mwc2023 [6] pre,#mwc23 [6] hult_business,embedding [6] heads,pre [6] mwchub,#diversity4tech [6] #employee,#voice Top Word Pairs in Tweet in G6:
[19] عند,الطي [19] وسمك,الجهاز [19] تفكيك,لهاتف [19] ويعطي,مساحة [19] لهاتف,هونر [19] المفصل,صغير [19] أول,تفكيك [19] أكبر,للبطارية [19] مساحة,أكبر [19] هونر,القابل Top Word Pairs in Tweet in G7:
[20] #onplus,#mwc2023 [18] showcase,concept [18] concept,mwc [18] mwc,2023 [18] oneplus,showcase [18] 2023,#onplus [2] techtravie,#onplus Top Word Pairs in Tweet in G8:
[19] speaking,#mwc2023 [19] ceo,co [19] #barcelona,feb [19] co,founder [19] founder,zac [19] zac,cheah [19] feb,27 [19] #pundix,ceo [19] #mwc2023,#barcelona [15] check,#4yfn23 Top Word Pairs in Tweet in G9:
[16] #ai,#machinelearning [14] #coding,#100daysofcode [13] #bigdata,#iot [12] #programming,#coding [12] #mwc2023,#programming [12] #cybersecurity,#mwc2023 [12] #flutter,#cloudcomputing [11] cfo's,guide [11] #fintech,#erp [11] #serverless,#javascript Top Word Pairs in Tweet in G10:
[2] #mwc23,#mwc2023 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
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: