activity
20152026
most citedUsing social network analysis to prevent money laundering

224 citations · 1.5k across the 49 of their papers we have counts for

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Showing cs.SIShow all

20 papers · 1 filter

cs.SI2024★ 2 cited

Why distinctiveness centrality is distinctive

A. Fronzetti Colladon, M. Naldi

This paper responds to a commentary by Neal (2024) regarding the Distinctiveness centrality metrics introduced by Fronzetti Colladon and Naldi (2020). Distinctiveness centrality of…

cs.SI2023★ 1 cited

Brand Network Booster: A new system for improving brand connectivity

J. Cancellieri, W. Didimo, A. Fronzetti Colladon +2

This paper presents a new decision support system offered for an in-depth analysis of semantic networks, which can provide insights for a better exploration of a brand's image and…

cs.SI2022★ 54 cited

Evaluating and improving social awareness of energy communities through semantic network analysis of online news

C. Piselli, A. Fronzetti Colladon, L. Segneri +1

The implementation of energy communities represents a cross-disciplinary phenomenon that has the potential to support the energy transition while fostering citizens' participation…

cs.SI2021★ 10 cited

'Entanglement' -- A new dynamic metric to measure team flow

P. A. Gloor, M. P. Zylka, A. Fronzetti Colladon +1

We introduce "entanglement", a novel metric to measure how synchronized communication between team members is. This measure calculates the Euclidean distance among team members' so…

cs.SI2021★ 19 cited

Measuring information exchange and brokerage capacity of healthcare teams

F. Grippa, J. Bucuvalas, A. Booth +3

Purpose: The purpose of this paper is to explore possible factors impacting team performance in healthcare, by focusing on information exchange within and across hospital's boundar…

cs.SI2021★ 73 cited

It is rotating leaders who build the swarm: social network determinants of growth for healthcare virtual communities of practice

G. Antonacci, A. Fronzetti Colladon, A. Stefanini +1

Purpose: The purpose of this paper is to identify the factors influencing the growth of healthcare virtual communities of practice (VCoPs) through a seven-year longitudinal study c…

cs.SI2021★ 3 cited

What makes you popular: beauty, personality or intelligence?

A. Fronzetti Colladon, F. Grippa, E. Battistoni +2

This study explores the determinants of popularity within friendship and advice networks. We involved almost 200 college students in an experiment to predict how personality traits…

cs.SI2021★ 19 cited

Big data and big values: When companies need to rethink themselves

M. A. Barchiesi, A. Fronzetti Colladon

In order to face the complexity of business environments and detect priorities while triggering contingency strategies, we propose a new methodological approach that combines text…

cs.SI2021★ 39 cited

Measuring the impact of spammers on e-mail and Twitter networks

A. Fronzetti Colladon, P. A. Gloor

This paper investigates the research question if senders of large amounts of irrelevant or unsolicited information - commonly called "spammers" - distort the network structure of s…

cs.SI2021★ 17 cited

The digital footprint of innovators: Using email to detect the most creative people in your organization

P. A. Gloor, A. Fronzetti Colladon, F. Grippa

We propose a novel method for finding the most innovative people in an organization, using email to analyze structure and dynamics of the organization's online communication. To il…

cs.SI2021★ 51 cited

The impact of social media presence and board member composition on new venture success: Evidences from VC-backed U.S. startups

P. A. Gloor, A. Fronzetti Colladon, F. Grippa +2

The purpose of this study is to examine the impact of board member composition and board members' social media presence on the performance of startups. Using multiple sources, we c…

cs.SI2021★ 69 cited

The power of reciprocal knowledge sharing relationships for startup success

T. J. Allen, P. Gloor, A. Fronzetti Colladon +2

Purpose: The purpose of this paper is to examine the innovative capabilities of biotech start-ups in relation to geographic proximity and knowledge sharing interaction in the R&D n…

cs.SI2021★ 58 cited

The impact of virtual mirroring on customer satisfaction

P. Gloor, A. Fronzetti Colladon, G. Giacomelli +2

We investigate the impact of a novel method called "virtual mirroring" to promote employee self-reflection and impact customer satisfaction. The method is based on measuring commun…

cs.SI2021★ 13 cited

Size does not matter -- in the virtual world. Comparing online social networking behaviour with business success of entrepreneurs

P. A. Gloor, S. Woerner, D. Schoder +2

We explore what benefits network position in online business social networks like LinkedIn might confer to an aspiring entrepreneur. We compare two network attributes, size and emb…

cs.SI2021★ 53 cited

Forecasting managerial turnover through e-mail based social network analysis

P. A. Gloor, A. Fronzetti Colladon, F. Grippa +1

In this study we propose a method based on e-mail social network analysis to compare the communication behavior of managers who voluntarily quit their job and managers who decide t…

cs.SI2021★ 26 cited

Robustness and stability of enterprise intranet social networks: The impact of moderators

A. Fronzetti Colladon, F. Vagaggini

In this study, we tested the robustness of three communication networks extracted from the online forums included in the intranet platforms of three large companies. For each compa…

cs.SI2021★ 224 cited

Using social network analysis to prevent money laundering

A. Fronzetti Colladon, E. Remondi

This research explores the opportunities for the application of network analytic techniques to prevent money laundering. We worked on real world data by analyzing the central datab…

cs.SI2021★ 51 cited

Forecasting election results by studying brand importance in online news

A. Fronzetti Colladon

This study uses the semantic brand score, a novel measure of brand importance in big textual data, to forecast elections based on online news. About 35,000 online news articles wer…

cs.SI2019★ 61 cited

Distinctiveness Centrality in Social Networks

A. Fronzetti Colladon, M. Naldi

The determination of node centrality is a fundamental topic in social network studies. As an addition to established metrics, which identify central nodes based on their brokerage…

cs.SI2015★ 4 cited

Measuring Organizational Consciousness Through E-Mail Based Social Network Analysis

Peter A. Gloor, Andrea Fronzetti Colladon

This paper describes first experiments measuring organizational consciousness by comparing six "honest signals" of interpersonal communication within organizations with organizatio…