Polarization and Non-Positive Social Influence

2012 ◽  
Vol 3 (3) ◽  
pp. 15-25 ◽  
Author(s):  
Zhenpeng Li ◽  
Xijin Tang
Keyword(s):  
Social Identity ◽  
Social Influence ◽  
Numerical Simulations ◽  
Network Model ◽  
Local Structure ◽  
Hopfield Network ◽  
Polarization Pattern ◽  
Dominant State ◽  
External Intervention ◽  
Group Opinion

The authors study patterns about group opinions in a group-based society by considering social influence. They classify three types of social influence: positive, neutral, and negative from the perspective of social identity, and investigate to what extent the non-positive social influence leads to group opinion polarization based on the Hopfield network model. Numerical simulations show that opinion in a group-based society would self-organize into bi-polarization pattern under the condition of no imposing external intervention, which is entirely different from the result of drift to an extreme polarization dominant state with single homogenous influence. These results are explained in the study and the authors show that opinions polarization in a group is coexisted with local structure balance.

scholarly journals What Drives Continuance Intention towards Social Media? Social Influence and Identity Perspectives

2020 ◽  
Vol 12 (17) ◽  
pp. 7081 ◽  
Author(s):  
Athapol Ruangkanjanases ◽  
Shu-Ling Hsu ◽  
Yenchun Jim Wu ◽  
Shih-Chih Chen ◽  
Jo-Yu Chang
Keyword(s):  
Social Media ◽  
Social Identity ◽  
New Media ◽  
Social Influence ◽  
Perceived Usefulness ◽  
Continuance Intention ◽  
Positive Effects ◽  
The Social ◽  
Media Platform ◽  
Continuous Usage Intention

With the growth of social media communities, people now use this new media to engage in many interrelated activities. As a result, social media communities have grown into popular and interactive platforms among users, consumers and enterprises. In the social media era of high competition, increasing continuance intention towards a specific social media platform could transfer extra benefits to such virtual groups. Based on the expectation-confirmation model (ECM), this research proposed a conceptual framework incorporating social influence and social identity as key determinants of social media continuous usage intention. The research findings of this study highlight that: (1) the social influence view of the group norms and image significantly affects social identity; (2) social identity significantly affects perceived usefulness and confirmation; (3) confirmation has a significant impact on perceived usefulness and satisfaction; (4) perceived usefulness and satisfaction have positive effects on usage continuance intention. The results of this study can serve as a guide to better understand the reasons for and implications of social media usage and adoption.

Purchasing organic products: role of social context and consumer innovativeness

2017 ◽  
Vol 35 (1) ◽  
pp. 130-146 ◽  
Author(s):  
Ajax Persaud ◽  
Sandra R. Schillo
Keyword(s):  
Social Identity ◽  
Social Influence ◽  
Social Factors ◽  
Purchase Intention ◽  
Perceived Value ◽  
Consumer Innovativeness ◽  
Content Type ◽  
Organic Products ◽  
Individual Innovativeness ◽  
Nuanced Understanding

Purpose The purpose of this paper is to investigate how individual innovativeness and social factors shape consumers’ purchase decisions of organic products. Design/methodology/approach The study is based on an online survey of 988 Canadian participants. Structural equation modelling was used to test the relationships between social identity, social influence, perceived value and purchase intention within a multi-group framework to show the moderating effect of consumer innovativeness. Findings The results show that the two social dimensions – social identity and social influence – influence purchase intention and the perceived value of organic products partially mediates these relationships. Further, the personal characteristic, “consumer innovativeness”, moderates these relationships. Research limitations/implications Although the sample consists of a higher proportion of younger participants, the results are consistent with theoretical arguments and empirical evidence, which underscores the importance of generational differences in organic product purchases. Practical implications Managers need to develop a more nuanced understanding of how social influence and social identity play different roles in the purchase intentions of consumer innovators vs later adopters. This knowledge can guide practical segmentation, targeting, positioning and promotion strategies. Originality/value This study complements the individual innovativeness predispositions literature by showing that the consideration of social factors leads to a more nuanced understanding of consumers’ purchase intention than either set of factors separately. It also contributes to the literature on adoption of organic products by introducing consumer innovativeness dimension as a key factor.

scholarly journals Information Entropy of Tight-Binding Random Networks with Losses and Gain: Scaling and Universality

Entropy ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 86 ◽  
Author(s):  
C. Martínez-Martínez ◽  
J. Méndez-Bermúdez
Keyword(s):  
Numerical Simulations ◽  
Network Model ◽  
Information Entropy ◽  
Spectral Properties ◽  
Random Network ◽  
Tight Binding ◽  
Network Connectivity ◽  
Network Size ◽  
Random Networks ◽  
Scaling And Universality

We study the localization properties of the eigenvectors, characterized by their information entropy, of tight-binding random networks with balanced losses and gain. The random network model, which is based on Erdős–Rényi (ER) graphs, is defined by three parameters: the network size N, the network connectivity α , and the losses-and-gain strength γ . Here, N and α are the standard parameters of ER graphs, while we introduce losses and gain by including complex self-loops on all vertices with the imaginary amplitude i γ with random balanced signs, thus breaking the Hermiticity of the corresponding adjacency matrices and inducing complex spectra. By the use of extensive numerical simulations, we define a scaling parameter ξ ≡ ξ ( N , α , γ ) that fixes the localization properties of the eigenvectors of our random network model; such that, when ξ < 0.1 ( 10 < ξ ), the eigenvectors are localized (extended), while the localization-to-delocalization transition occurs for 0.1 < ξ < 10 . Moreover, to extend the applicability of our findings, we demonstrate that for fixed ξ , the spectral properties (characterized by the position of the eigenvalues on the complex plane) of our network model are also universal; i.e., they do not depend on the specific values of the network parameters.

Understanding Users' Contributions in Open Source Software Communities

2020 ◽  
Vol 16 (4) ◽  
pp. 105-117
Author(s):  
Tao Zhou
Keyword(s):  
Social Identity ◽  
Social Influence ◽  
Open Source ◽  
Open Source Software ◽  
Service Providers ◽  
Subjective Norm ◽  
User Identification ◽  
Social Influence Theory ◽  
The Social ◽  
Negative Effect

User contributions are crucial to the success of open source software (OSS) communities. As users conduct frequent interactions between each other, their contribution behaviour may receive the social influence from other members. Drawing on the social influence theory, this research examined user contributions in OSS communities. The results indicated that contribution intention is significantly affected by social identity, which includes cognitive, affective and evaluative identity. In addition, the researchers found that the subjective norm has a negative effect on contribution intention. The results imply that service providers need to enhance user identification with the community in order to facilitate their contribution in OSS communities.

Self-Presenting Virtually for Remote Social Influence

2022 ◽  
pp. 407-461
Keyword(s):  
Social Identity ◽  
Social Influence ◽  
Mass Scale ◽  
Relationship Building ◽  
Social Web ◽  
Target Domain ◽  
The Social ◽  
Parasocial Relationship ◽  
Web Social ◽  
Political Decisions

On the Social Web, social influencers have outsized effects on their peer followers and can influence worldviews, political decisions, aspirations, lifestyles, and buying-and-selling behaviors for varying periods of time. Social influencers attain their influence based on various factors (or combinations): the sharing of insider knowledge, skills, and abilities (KSAs) or information; entertainment; charisma, personality, appearance, communications; engaging storytelling; social identity building for the followers; and parasocial relationship building. This work explores how social influencers self-present to attract and maintain a mass-scale remote audience in a competitive virtual popularity game. This explores “peer lessons” about social influence by masters, based on observed strategic and tactical communications from social video, in a particular target domain, namely survival in the more remote reaches of Alaska.

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