The graph represents a network of 2,028 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, 28 November 2021 at 02:53 UTC.
The requested start date was Sunday, 28 November 2021 at 01:01 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 4-day, 14-hour, 25-minute period from Tuesday, 23 November 2021 at 10:30 UTC to Sunday, 28 November 2021 at 00:56 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 : 2028
Unique Edges : 2845
Edges With Duplicates : 18138
Total Edges : 20983
Number of Edge Types : 5
Retweet : 6543
MentionsInRetweet : 10467
Replies to : 48
Mentions : 3640
Tweet : 285
Self-Loops : 707
Reciprocated Vertex Pair Ratio : 0.0426548672566372
Reciprocated Edge Ratio : 0.0818197250042438
Connected Components : 11
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 2013
Maximum Edges in a Connected Component : 20967
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.121289
Graph Density : 0.00143306973218552
Modularity : 0.175841
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,028 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, 28 November 2021 at 02:53 UTC.
The requested start date was Sunday, 28 November 2021 at 01:01 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 4-day, 14-hour, 25-minute period from Tuesday, 23 November 2021 at 10:30 UTC to Sunday, 28 November 2021 at 00:56 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:
[2386] #fashiontech,#ehealth [2182] #frenchtech,#women [2161] #women,#datascientist [2110] #datascientist,#fashiontech [1866] #ehealth,#datascience [1105] chidambara09,#digital [1075] #digital,#cx [1060] #cx,#iot [1060] #iot,#frenchtech [1053] #fintech,#insurtech Top Word Pairs in Tweet in G1:
[443] hear,announced [443] announced,plans [443] plans,ripple [443] ripple,liquidity [443] liquidity,hub [443] hub,turnkey [443] turnkey,solution [443] solution,#finserv [443] #finserv,institutions [443] institutions,enterprises Top Word Pairs in Tweet in G2:
[1058] #fashiontech,#ehealth [988] #frenchtech,#women [972] #women,#datascientist [945] #datascientist,#fashiontech [783] #ehealth,#datascience [589] chidambara09,#digital [479] #digital,#cx [471] #cx,#iot [471] #iot,#frenchtech [465] #datascience,#finser Top Word Pairs in Tweet in G3:
[903] #fashiontech,#ehealth [801] #women,#datascientist [800] #frenchtech,#women [784] #datascientist,#fashiontech [755] #ehealth,#datascience [442] #datascience,#finserv [408] #digital,#cx [404] #cx,#iot [404] #iot,#frenchtech [383] #finserv,#bigdata Top Word Pairs in Tweet in G4:
[349] #fintech,#insurtech [278] #fashiontech,#ehealth [258] #frenchtech,#women [252] #women,#datascientist [249] #datascientist,#fashiontech [217] #fintech,#finserv [216] #insurtech,#finserv [215] #ehealth,#datascience [165] chidambara09,#digital [152] #finserv,#insurtech Top Word Pairs in Tweet in G5:
[170] #fintech,#insurtech [143] #insurtech,#finserv [129] #finserv,#marketing [118] #fashiontech,#ehealth [109] #frenchtech,#women [109] #women,#datascientist [106] #datascientist,#fashiontech [93] #ehealth,#datascience [72] #rstats,#flutter [59] chidambara09,#digital Top Word Pairs in Tweet in G6:
[39] financial,services [31] #ai,#iot [28] uv,tattoos [28] tattoos,glow [28] glow,dark [28] dark,gigadgets_ [28] gigadgets_,#ehealth [28] #ehealth,#cx [28] #cx,#payments [28] #payments,#finserv Top Word Pairs in Tweet in G7:
[53] fsn,#fusionprotocol [53] #fusionprotocol,chng [48] chng,#fintech [41] #fintech,#finserv [36] #finserv,#fintech [34] #defi,#finserv [34] #fintech,#crypto [34] #crypto,#blockchain [30] fusionprotocol,fsn [30] #finserv,#technology Top Word Pairs in Tweet in G8:
[2] #infosec,#finserv [2] #digitalbanking,#finserv Top Word Pairs in Tweet in G9:
[12] gt,gt [5] #fintech,#finserv [3] theadityapatro,tokenization [3] tokenization,physical [3] physical,assets [3] assets,101blockchains [3] 101blockchains,#fintech [3] #finserv,#blockchain [3] #blockchain,#ai [3] #ai,#token Top Word Pairs in Tweet in G10:
[8] #bitcoinz,free [8] free,software [8] software,developer [8] developer,use [8] use,superpowers [8] superpowers,good [8] good,improve [8] improve,#bitcoinz [5] btczfuturecoin,#bitcoinz [5] #bitcoinz,#fin 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 G5:
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 G4:
Top Mentioned in G5:
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: