Information diffusion in a multi-social-network scenario: framework and ASP-based analysis

作     者：Marra, Giuseppe Ursino, Domenico Ricca, Francesco Terracina, Giorgio 

作者机构：Engn Tributi SpA Trento Italy Univ Mediterranea Reggio Calabria DIIES Domenico Ursino Via Graziella I-89122 Reggio Di Calabria Italy Univ Calabria DeMaCs Arcavacata Di Rende CS Italy 

出 版 物：《KNOWLEDGE AND INFORMATION SYSTEMS》 (知识和信息系统季刊)

年 卷 期：2016年第48卷第3期

页      面：619-648页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0701[理学-数学] 071101[理学-系统理论] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Regione Calabria through the project Cross-channel Commerce (POR CAL-ABRIA FESR) [CCI N 2007 IT 161 PO 008] project BA2Know (Business Analytics to Know) - Italian Ministry of Education, University and Research 

主　　题：Social network analysis Logic programming Multi-social-network scenario Answer set programming Information diffusion 

摘      要：Information diffusion is a classical problem in social network analysis, which has been largely investigated with reference to single social networks. However, the current scenario is multi-social-network. Here, many social networks coexist and are strictly connected to each other, thanks to those users who join more social networks, acting as bridges among them. But, what happens to information diffusion when passing from a single-social-network context to a multi-social-network scenario? In this paper, we answer this question. In particular, thanks to the definition of a framework for handling these issues and to a large set of experiments, we show that, in this context, new actors and new features play the key roles. We also identify two possible improvements of our framework, namely the management of some activation nucleuses (i.e., some starting-node configurations that are likely to improve information diffusion) and the management of topics concerning the information to spread. In these activities, answer set programming provided us with a powerful and flexible tool for an easy setup and implementation of our investigation.