Maria Camilla Fraudatario (University of Florence)
Carla Galluccio (University of Florence)
Vincenzo Giuseppe Genova (University of Palermo)
Lucio Palazzo (University of Naples Federico II)
Valeria Policastro (University of Naples Federico II)
Ilaria Primerano (University of Salerno)
Roberto Rondinelli (University of Naples Federico II)
Francesco Santelli (University of Trieste)
Cristian Usala (University of Cagliari)
Abstract: The session YoungARS - at its fourth edition - is targeted at young scholars, such as PhD students and early-stage researchers. The purpose of the session is to gather early-career researchers and offer them a dedicated session to present their on-going research in front of the network community. The session has an interdisciplinary focus. Thus, we welcome methodological, theoretical, and applied contributions from different disciplines. The discussion will help participants to establish potential collaborations as well as strengthen their network. All the presenters of the YoungARS session participate in the Young Researchers' Best Presentation Award. The session is organized with the support and patronage of the y-SIS group of the Italian Statistical Society.
Anna Piazza (University of Greenwich)
Srinidhi Vasudevan (University of Greenwich)
Title: Social cybersecurity: convergence of SNA (Social Network Analysis) in cyber
Abstract: Building on cyber security that specifically focuses on machines and technology, social cyber security is an emerging and interdisciplinary field with perspectives from sociology, communication science, forensics, economics, linguistics, social psychology, and political science to name a few (Carley 2020). Social cyber security goes beyond machines and technology and looks at the cardinal element of social relations that impacts security behaviours of actors. Networks are embedded in cyber norms, cultures, values, and behaviours which for instance can vary according to contexts. Examples of research show the importance of quantifying social relationships in cyber space can be found in studies that have applied social networks analysis in cybersecurity, for instance:
- Threat Intelligence sharing between cybersecurity vendors, on interorganizational networks (Zrahia A. 2018).
- Information security champions and influence, on organizational networks (Duy Dang- Pham et al. 2022).
- Security awareness diffusion and antecedents of security influence, on organisations (Bruno et al. 2017).
This organized session brings together research that addresses these and related questions through a broad, cyber-network perspective. We solicit methodological, conceptual, and empirical contributions that model, predict, and/or explain how networks are created and maintained by actors in a cyber space. Topics of interest include but are not limited to the following lines of enquiry:
- Cyber security in organizations: cyber/ information security behaviour and cyber /information security misbehaviour.
- Cyber user behaviour and networks.
- Diffusion, misinformation, and disinformation networks.
- Information sharing networks in cyber space.
- Governance network structure and cyber policy.
- Data science, machine learning, natural language processing and agent-based simulation in cyber space.
Viviana Amati (University of Milano-Bicocca)
Marion Hoffman (Institute for advanced study in Toulouse)
Title: Statistical models for networks
Abstract: This session aims to explore the development of statistical models for understanding the structure and dynamics of empirical social networks. The aim of such models can be to explain either cross-sectional networks, longitudinal or time-stamped networks, and any type of ties – e.g., dichotomous, weighted, signed, multiplex. We welcome any contribution presenting new developments in that topic, possibly with empirical illustrations but focusing on methodological concerns.
Giuseppe De Luca (University of Milan)
Maria Carmela Schisani (University of Naples Federico II)
Paola Avallone (ISMed CNR)
Raffaella Salvemini (ISMed CNR)
Title: Networks in Economic and Financial History
Abstract: In Economic History research, the Social Network Analysis approach helps to decode underlying social and economic interaction structures, which shaped profound change in human societies and economic systems. The network approach has been applied to a variety of sub-fields and especially in business and financial history.
This session aims to work towards a specific contribution on network analysis in economic history and its subfields. It intends to present new findings and approaches within historical network research and promote contacts and interactions between scholars that investigate past economic and financial phenomena using methods derived from network analysis or network science.
We encourage submissions about any period, geographical area and topic, which might include but are not limited to economics, politics, finance, risk management issues in the perspective of interpersonal relations, social networks, geospatial or temporal networks, big data and data collection from original sources.
Francesca Pallotti (University of Greenwich)
Title: Networks and Behavior in Organizations
Abstract: Working in organizations implies first and foremost daily interaction among organizational members across various levels. This is especially the case for contemporary organizations that are required to deal with an increasingly complex business environment. The most recent technological advancements, economic trends and epidemiological events have brought to the fore the need for organizations to rethink their internal structures and systems, and move towards design and managerial approaches encouraging collaboration and interaction, innovation and creativity, autonomy and accountability. Understanding the practical implications of work-related interactions and social relationships among organizational members is the focus of this session. We are seeking contributions examining antecedents, dynamics, and implications of interactions at various levels (i.e., individuals, groups and organizational units). Contributions addressing organizational problems at multiple levels simultaneously ( i.e., multilevel problems) will also be particularly welcome.