DocumentCode
29542
Title
Social Persuasion in Online and Physical Networks
Author
Singh, V.K. ; Mani, Ankur ; Pentland, Alex
Author_Institution
Sch. of Commun. & Inf., Rutgers Univ., New Brunswick, NJ, USA
Volume
102
Issue
12
fYear
2014
fDate
Dec. 2014
Firstpage
1903
Lastpage
1910
Abstract
Social persuasion to influence the actions, beliefs, and behaviors of individuals, embedded in a social network, has been widely studied. It has been applied to marketing, healthcare, sustainability, political campaigns, and public policy. Traditionally, there has been a separation between physical (offline) and cyber (online) worlds. While persuasion methods in the physical world focused on strong interpersonal trust and design principles, persuasion methods in the online world were rich on data-driven analysis and algorithms. Recent trends including Internet of Things, “big data,” and smartphone adoption point to the blurring divide between the cyber world and the physical world in the following ways. Fine grained data about each individual´s location, situation, social ties, and actions are collected and merged from different sources. The messages for persuasion can be transmitted through both worlds at suitable times and places. The impact of persuasion on each individual is measurable. Hence, we posit that the social persuasion will soon be able to span seamlessly across these worlds and will be able to employ computationally and empirically rigorous methods to understand and intervene in both cyber and physical worlds. Several early examples indicate that this will impact the fundamental facets of persuasion including who, how, where, and when, and pave way for multiple opportunities as well as research challenges.
Keywords
Internet of Things; mobile computing; social networking (online); social sciences computing; Internet of Things; big data; cyber world; data-driven analysis; interpersonal trust; online network; physical network; smartphone; social persuasion; Algorithm design and analysis; Behavioral science; Complex networks; Context modeling; Design methodology; Global Positioning System; Internet; Internet of things; Market research; Media; Medical services; Public policy; Social factors; Social network services; Cyber–physical social networks; Cyber???physical social networks; networked intervention; persuasive computing; social persuasion;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/JPROC.2014.2363986
Filename
6949053
Link To Document