The graph represents a network of 2,552 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 July 2021 at 01:37 UTC.
The requested start date was Sunday, 04 July 2021 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, 9-hour, 30-minute period from Sunday, 20 June 2021 at 00:13 UTC to Saturday, 03 July 2021 at 09:44 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 : 2552
Unique Edges : 3856
Edges With Duplicates : 15904
Total Edges : 19760
Number of Edge Types : 5
Retweet : 5338
MentionsInRetweet : 9979
Mentions : 3541
Tweet : 872
Replies to : 30
Self-Loops : 1046
Reciprocated Vertex Pair Ratio : 0.0464023494860499
Reciprocated Edge Ratio : 0.088689306763963
Connected Components : 142
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 2259
Maximum Edges in a Connected Component : 19293
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.337019
Graph Density : 0.00109459809847758
Modularity : 0.237225
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,552 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 04 July 2021 at 01:37 UTC.
The requested start date was Sunday, 04 July 2021 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, 9-hour, 30-minute period from Sunday, 20 June 2021 at 00:13 UTC to Saturday, 03 July 2021 at 09:44 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 : #FinServ
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:
[1077] mashable,enricomolinari [969] #fintech,#finserv [407] #ai,#iot [381] #finserv,#banking [375] visualcap,enricomolinari [319] #fintech,#banking [314] enricomolinari,#ai [314] enricomolinari,#fintech [293] #finserv,#insurtech [275] #banking,#fintech Top Word Pairs in Tweet in G1:
[937] mashable,enricomolinari [362] #fintech,#finserv [292] visualcap,enricomolinari [291] #ai,#iot [271] enricomolinari,#fintech [240] #finserv,#insurtech [229] enricomolinari,#ai [215] statistacharts,enricomolinari [184] #insurtech,#proptech [170] enricomolinari,#ehealth Top Word Pairs in Tweet in G2:
[359] #fintech,#finserv [234] #finserv,#banking [126] #fintech,#insurtech [115] mashable,enricomolinari [91] #banking,#fintech [91] #fintech,#banking [90] #startup,#innovation [87] #innovation,#finserv [84] #ai,#iot [82] #insurtech,#startup Top Word Pairs in Tweet in G3:
[145] #fintech,#finserv [124] #disruption,#blockchain [119] #innovation,#fintech [119] #fintech,#banking [90] #blockchain,#fintech [73] #banking,#trading [52] #payment,#banking [51] #banking,#digitalbanking [46] #banking,#finserv [42] #ai,#machinelearning Top Word Pairs in Tweet in G4:
[33] #fintech,#finserv [19] #ai,#iot [13] #finserv,#insurtech [12] pairing,#iot [12] #iot,devices [12] devices,things [12] things,easy [12] easy,#smartcities [12] #smartcities,#finserv [12] #finserv,#edtech Top Word Pairs in Tweet in G5:
[66] transition,smart [66] smart,operations [66] operations,banks [66] banks,see [66] see,organizational [66] organizational,efficiency [66] efficiency,better [66] better,risk [66] risk,management [64] management,frictionless Top Word Pairs in Tweet in G6:
[8] 92,consumers [8] consumers,use [8] use,social [8] social,channels [8] channels,research [8] research,mortgage [8] mortgage,lending [8] lending,57 [8] 57,advisors [8] advisors,missed Top Word Pairs in Tweet in G7:
[20] #fintech,#finserv [14] reading,jpnicols [14] jpnicols,newsfeed [14] newsfeed,#innovation [14] #innovation,#strategy [14] #strategy,#leadership [14] #leadership,#fintech [11] #finserv,#supplychain [11] #supplychain,#healthcare [10] #healthcare,intersystems Top Word Pairs in Tweet in G8:
[44] blockchain,technology [27] #fintech,#data [26] #banking,#bank [26] #data,#datascience [25] #analytics,#fintechlife [25] #fintechlife,#banking [25] #datascience,#analytics [22] open,source [21] superior,blockchain [20] #chaingefinance,#fintech Top Word Pairs in Tweet in G9:
[13] #fintech,#finserv [11] #catapultkickstarter,finals [8] 00,pm [8] pm,cest [8] #lhoft,member [6] days,left [6] left,until [6] until,#catapultkickstarter [6] finals,june [6] june,25th Top Word Pairs in Tweet in G10:
[24] online,bank [23] gt,#finserv [17] france,targets [17] targets,city [17] city,london [17] london,firms [17] firms,brexit [17] brexit,'choose [17] 'choose,france' [17] france',push Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: