How do Online Social Networks Influence People’s Emotional Lives?

Kross, Ethan; Chandhok, Susannah

doi:10.4324/9781003121756-7

Cited by 2 publications

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“…Objective function (15) is the developed version of objective function (2). The second term of ( 15), along with constraint (16), relates to minimizing the variability of scenarios which is identified by the variability measure presented by Leung et al [57].…”

Section: The Proposed Robust Optimization Modelmentioning

confidence: 99%

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People often learn from each other, and this has important implications for such diverse things as how they find employment, what movies they see, which products they purchase, how technology becomes adopted, whether or not they participate in government programs or social events, and whether they protest [1][2][3]. The platform in which people can influence on the other's choices and decisions is social networks [4].

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A robust optimization model for influence maximization in social networks with heterogeneous nodes

2021

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Influence maximization is the problem of trying to maximize the number of influenced nodes by selecting optimal seed nodes, given that influencing these nodes is costly. Due to the probabilistic nature of the problem, existing approaches deal with the concept of the expected number of nodes. In the current research, a scenario-based robust optimization approach is taken to finding the most influential nodes. The proposed robust optimization model maximizes the number of infected nodes in the last step of diffusion while minimizing the number of seed nodes. Nodes, however, are treated as heterogeneous with regard to their propensity to pass messages along; or as having varying activation thresholds. Experiments are performed on a real text-messaging social network. The model developed here significantly outperforms some of the well-known existing heuristic approaches which are proposed in previous works.

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Section: The Proposed Robust Optimization Modelmentioning

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A robust optimization model for influence maximization in social networks with heterogeneous nodes

2021

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Individual differences in three aspects of evaluation: The motives to have, learn, and express attitudes.

Xu¹,

Petty²,

Wright³

et al. 2021

Journal of Personality and Social Psychology

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We report seven studies that introduce and validate two unique aspects of evaluation that supplement the original Need to Evaluate (NE) scale . Whereas the original scale focused on the tendency to have attitudes, the two new scales focus on the tendencies to learn and express attitudes. Although the new scales are correlated with the original scale and each other, each new scale is shown to be related in a unique way to other relevant scales, and most importantly, to predict different outcomes. Study 1 develops the new learning and expressing aspects of evaluation. Study 2 establishes the factor structure of these new dimensions and distinguishes them from the having aspect identified in the original NE scale. Study 3 demonstrates the convergent and discriminant validity of the two new NE scales in relation to relevant existing individual differences. Study 4 shows that the new NE-learning and expressing scales can predict people's preference for different roles in an impending group discussion. Study 5 shows that the NE-expressing scale predicts attitudes in a paradigm where people generate persuasive arguments and Study 6 shows that the NE-learning scale predicts attitudes in response to an external message using evaluative language. Finally, Study 7 shows that the original NE scale predicts above and beyond the two new scales in accounting for people's tendencies to have and possess attitudes toward various social and political issues.

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How do Online Social Networks Influence People’s Emotional Lives?

Cited by 2 publications

References 1 publication

A robust optimization model for influence maximization in social networks with heterogeneous nodes

A robust optimization model for influence maximization in social networks with heterogeneous nodes

Individual differences in three aspects of evaluation: The motives to have, learn, and express attitudes.

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