Positive opinion maximization in signed social networks

Sun, Lihong; Wang, Xingwei; Wang, Zhenkun; Huang, Min; Yi, Bo; Wang, Yuantian; Ma, Lianbo

doi:10.1016/j.ins.2020.12.091

Cited by 42 publications

(12 citation statements)

References 29 publications

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“…The spreading dynamics behavior on networks is closely related to its topological structure, and the research on spreading dynamics based on related theories and methods of complex networks has been adopted and recognized by more and more scholars (Thelwall and Thelwall, 2020;He et al, 2021). In addition, as the carrier of public opinion propagation, the topology of networks significantly affects the propagation process of public opinion, and this conclusion has been confirmed by lots of research (Zhang et al, 2018;Mandal et al, 2020;Wang et al, 2020).…”

Section: Construction Of Double-layer Online Social Network 21 Struct...mentioning

confidence: 92%

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Cross-network propagation model of public opinion information and its control in coupled double-layer online social networks

Wang

2021

AJIM

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PurposeIn modern society, considering the multi-channel of public opinion information (public opinion) propagation and its strong influence on social development, it is necessary to study its propagation law and discuss the intervention strategy in online social networks (OSN).Design/methodology/approachFirst, a conceptual model of double-layer OSN was constructed according to their structural characteristics. Then, a cross-network propagation model of public opinion in double-layer OSN was proposed and discussed its spreading characteristics through numerical simulations. Finally, the control strategy of public opinion, especially the timing and intensity of intervention were discussed.FindingsThe results show that the double-layer OSN promotes the propagation of public opinion, and the propagation of public opinion in double-layer OSN has the characteristics of that in two single-layer OSN. Compared with the intervention intensity, the regulator should give the priority to the timing of intervention and try to intervene in the early stage of public opinion propagation.Practical implicationsThis study may help the regulators to respond to the propagation of public opinion in OSN more actively and reasonably.Originality/valueThis research has a deep comprehension of the cross-network propagation rules of public opinion and manages the propagation of public opinion.

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Section: Construction Of Double-layer Online Social Network 21 Struct...mentioning

confidence: 92%

“…While in terms of maximizing influence, based on positive information, this research indicates that the most influential k users should be identified to maximize the scope of information propagation. And the most commonly used methods are education (Sela et al, 2019), training and publicity (Biswas et al, 2020;He et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Cross-network propagation model of public opinion information and its control in coupled double-layer online social networks

Wang

2021

AJIM

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“…However, in many actual work environments, such as social networks, the interaction between two individuals may be friendly or hostile. 35,36 And the communication relationship between them is usually denoted by a signed graph. Altafini first proposed the bipartite consensus concept and proved that the bipartite consensus for integral dynamics is achieved if and only if the signed graph is structurally balanced.…”

Section: Introductionmentioning

confidence: 99%

Fully distributed bipartite time‐varying formation control for uncertain linear multi‐agent systems under event‐triggered mechanism

Cai

Zhang

2021

Intl J Robust & Nonlinear

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This paper addresses the distributed bipartite time-varying formation control for uncertain linear multi-agent systems under limited communication resources.First, the distributed static bipartite control protocol with sampled data is proposed to address the time-varying formation issue. It is noteworthy that in both controller updating and triggering condition monitoring, the communication is only occurred at sampling instants, which saves communication resources and reduces communication burden effectively. Moreover, the nonlinear term in static controller is used to suppress the effect of system uncertainty. Then the fully distributed adaptive bipartite event-triggered control protocol is put forward such that the time-varying formation control can be achieved. Different from the existing results on formation control, the proposed adaptive controller has the following four highlights: (1) it is fully distributed since the global information of network topology and the upper bound of uncertainty are not required; (2) the communication between neighbor agents is conducted at intermittent triggering instants, not real-time, which reduces the communication bandwidth significantly; (3) the communication between neighbors can not only be cooperative, but also be antagonistic, which is more realistic; and (4) the effect of system uncertainty can be suppressed. Furthermore, it is proven that there is no Zeno behavior in both triggering mechanisms. Finally, some numerical examples are presented to demonstrate the feasibility of the main theoretical findings.

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“…Despite the above contributions, this paper still has some limitations, such as difficulties in analyzing the competition of multiple players or modeling a dynamic multi-stage marketing process. Additionally, there may be negative relationships among agents in networks, which can hinder the effect of marketing campaigns [26]. Consequently, it is necessary to explore the problem of marketing competition in a signed network.…”

mentioning

confidence: 99%

“…In future research, we plan to further study such an allocation competition in a dynamic game or in a signed network. Undoubtedly, dynamic games and signed networks make the competition model closer to the actual marketing competition in social networks [26][27][28]. Corresponding allocation strategies will make sense and be of great interest.…”

mentioning

confidence: 99%

Targeted Allocation of Marketing Resource in Networks Based on Opinion Dynamics

2022

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Recent advances in information technology and the boom in social media provide firms with easy access to the data of consumers’ preferences and their social interactions. To characterize marketing resource allocation in networks, this paper develops a game theoretical model that allows for each firm’s own utility, action strategies of other firms and the inner state (self-belief and opinions) of consumers. In this model, firms can sway consumers’ opinions by spending marketing resources among consumers under budget and cost constraints. Each firm competes for the collective preference of consumers in a social network to maximize its utility. We derived the equilibrium strategies theoretically in a connected network and a dispersed network from the constructed model. These reveal that firms should allocate more marketing resources to some of consumers depending on their initial opinions, self-belief and positions in a network. We found that some structures of consumer networks may have an innate dominance for one firm, which can be retained in equilibrium results. This means that network structure can be as a tool for firms to improve their utilities. Furthermore, the sensitivities of budget and cost to the equilibria were analyzed. These results can provide some reference for resource allocation strategies in marketing competition.

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Positive opinion maximization in signed social networks

Cited by 42 publications

References 29 publications

Cross-network propagation model of public opinion information and its control in coupled double-layer online social networks

Cross-network propagation model of public opinion information and its control in coupled double-layer online social networks

Fully distributed bipartite time‐varying formation control for uncertain linear multi‐agent systems under event‐triggered mechanism

Targeted Allocation of Marketing Resource in Networks Based on Opinion Dynamics

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