TY - GEN
T1 - Agent-Based Model of Smart Social Networking-Driven Recommendations System for Internet of Vehicles
AU - Saini, Dinesh Kumar
AU - Zia, Kashif
AU - Muhammad, A.
AU - Ferscha, Alois
PY - 2018/6
Y1 - 2018/6
N2 - Social aspects of connectivity and information dispersion are often ignored while weighing the potential of Internet of Things (IoT). Assuming a more commonly acceptable standardization of Big Data generated by Internet of Vehicles (IoV), the social dimensions enabling its fruitful usage; emerging as Social IoV (SIoV); remains a challenge. In this paper, an agent-based model of information sharing (for context-based recommendations) of a hypothetical population of smart vehicles is presented. Some important hypotheses are tested under reasonable connectivity and data constraints. The simulation results reveal that closure of social ties and its timing impacts dispersion of novel information (necessary for a recommender system) substantially. It is also observed that as the network evolves as a result of incremental interactions, recommendations guaranteeing a fair distribution of vehicles across equally good competitors is not possible.
AB - Social aspects of connectivity and information dispersion are often ignored while weighing the potential of Internet of Things (IoT). Assuming a more commonly acceptable standardization of Big Data generated by Internet of Vehicles (IoV), the social dimensions enabling its fruitful usage; emerging as Social IoV (SIoV); remains a challenge. In this paper, an agent-based model of information sharing (for context-based recommendations) of a hypothetical population of smart vehicles is presented. Some important hypotheses are tested under reasonable connectivity and data constraints. The simulation results reveal that closure of social ties and its timing impacts dispersion of novel information (necessary for a recommender system) substantially. It is also observed that as the network evolves as a result of incremental interactions, recommendations guaranteeing a fair distribution of vehicles across equally good competitors is not possible.
UR - http://www.pervasive.jku.at/Research/Publications?do=abstract&key=551
UR - https://www.scopus.com/pages/publications/85049368508
U2 - 10.1007/978-3-319-94580-4_22
DO - 10.1007/978-3-319-94580-4_22
M3 - Conference proceedings
SN - 9783319945798
VL - 10978
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 275
EP - 287
BT - PAAMS 2018: Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity
A2 - Demazeau, Yves
A2 - Bajo, Javier
A2 - Fernandez-Caballero, Antonio
A2 - An, Bo
PB - Springer
ER -