The graph represents a network of 304 Twitter users whose recent tweets contained "#mobilebanking", 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 Tuesday, 13 July 2021 at 08:14 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 2-minute period from Monday, 05 July 2021 at 10:50 UTC to Tuesday, 13 July 2021 at 07:52 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 : 304
Unique Edges : 325
Edges With Duplicates : 278
Total Edges : 603
Number of Edge Types : 5
MentionsInRetweet : 138
Mentions : 78
Retweet : 214
Tweet : 166
Replies to : 7
Self-Loops : 169
Reciprocated Vertex Pair Ratio : 0.0168350168350168
Reciprocated Edge Ratio : 0.033112582781457
Connected Components : 106
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 106
Maximum Edges in a Connected Component : 344
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.974865
Graph Density : 0.00327861733541775
Modularity : 0.523056
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 304 Twitter users whose recent tweets contained "#mobilebanking", 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 Tuesday, 13 July 2021 at 08:14 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 2-minute period from Monday, 05 July 2021 at 10:50 UTC to Tuesday, 13 July 2021 at 07:52 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 : #mobilebanking
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:
[119] #mobilebanking,#neobanks [82] top,reads [82] reads,week [82] week,week [82] week,ending [82] ending,july [82] july,#ai [82] #ai,#artificialintelligence [82] #artificialintelligence,#banking [82] #banking,#cbdc Top Word Pairs in Tweet in G1:
[14] learn,more [10] #mobilebanking,app [9] mobile,app [8] app,control [7] mobile,banking [7] ux,revolution [7] revolution,#mobilebanking [7] app,digital [7] digital,first [7] first,comprehensive Top Word Pairs in Tweet in G2:
[46] #neobanks,#facialrecognition [41] #mobilebanking,#neobanks [39] #fintech,#finserv [38] #vc,#blockchain [36] #facialrecognition,#vc [31] #blockchain,#marketing [28] enricomolinari,#fintech [28] #banking,#proptech [21] #paytech,#payments [20] #smartcities,#esg Top Word Pairs in Tweet in G3:
[63] top,reads [63] reads,week [63] week,week [63] week,ending [63] ending,july [63] july,#ai [63] #ai,#artificialintelligence [63] #artificialintelligence,#banking [63] #banking,#cbdc [63] #cbdc,#compliance Top Word Pairs in Tweet in G4:
[9] security,experts [9] experts,drive [9] drive,secure [9] secure,mobile [9] mobile,channel [9] channel,growth [9] risk,exposure [9] exposure,reduce [9] reduce,mobile [9] mobile,apps Top Word Pairs in Tweet in G5:
[15] #fintechrevolution,including [15] including,#bholdus [15] #bholdus,reshaping [15] reshaping,financial [15] financial,world [15] world,biometric [15] biometric,sensors [15] sensors,#mobilebanking [15] #mobilebanking,branchless [15] branchless,banking Top Word Pairs in Tweet in G6:
[11] using,sacco [10] #mobilebanking,#digitalbanking [8] #digitaltransformation,#godigital [7] book,free [7] free,demo [7] demo,today [6] #cooperatives,#mobilebanking [6] lot,limited [6] limited,time [5] saccos,need Top Word Pairs in Tweet in G7:
[9] wikwigora,ujya [9] ujya,mu [9] mu,maduka [9] maduka,hahira [9] hahira,kuri [9] kuri,interineti [9] interineti,vuba [9] vuba,kandi [9] kandi,utekanye [9] utekanye,ukoresheje Top Word Pairs in Tweet in G8:
[8] go,100 [8] 100,digital [8] digital,hello [8] hello,n26 [8] n26,standard [8] standard,discover [8] discover,experience [8] experience,few [8] few,steps [8] steps,#in26 Top Word Pairs in Tweet in G9:
[6] #sénégal,#fintech [6] #fintech,cinetpay [6] cinetpay,lance [6] lance,sa [6] sa,solution [6] solution,#dématérialisation [6] #dématérialisation,procédures [6] procédures,paiement [6] paiement,#écoles [6] #écoles,#pcr Top Replied-To in Entire Graph:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
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: