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Opinion evolution of a social group with extreme opinion leaders

2016 6th International Conference on Computers Communications and Control (ICCCC), 2016

Opinion dynamics is a collective decision making and focuses on the study of evolution and formation of opinions in a social group. Bounded confidence rule is one of intrinsical interaction principles in the human behavior dynamics. When there is no opinion leader in a social group, for a bounded confidence based opinion dynamics, the evolution of the collective opinion of ...


A computational model of a norm's yield

2016 2nd International Symposium on Agent, Multi-Agent Systems and Robotics (ISAMSR), 2016

While several works have been conducted on norms detection and identification, almost non-existent work has explored the notion of norm's yield to trigger agents to adopt new norms. In other words, in most of the literature on norms, agents are not aware of the “yield” or gain from the enacted norms. Instead, they use some mining algorithms to identify the ...


Homophily and Nationality Assortativity Among the Most Cited Researchers' Social Network

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018

It is well known that individuals in social networks tend to exhibit homophily, the preference of people to associate with others from the same social group or type. Graph assortativity or Modularity is the most accepted measure for the homophily level of the whole network. It is well defined for simple networks where each node has a single type, and ...


Research on Quantitative Computation Method of Elevator Safety Accident Based on Risk Perception

2017 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2017

From the perspective of risk perception, this paper analyze hierarchy process (AHP) and fuzzy evaluation method to divide the elevator related people into five categories: producers, operators, regulators, social public and specialized technical personnel in elevator. Moreover, according the risk perception characteristics of each category and its proportion in social groups, it establishes a three level evaluation level evaluation index ...


A Friendship Generation Model Considering Affiliations

2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), 2018

To motivate the members of an organization, it is important for the manager of the organization to understand the characteristics of changing friendships among the members. There are friendship generation models based on rational and structural choices, but most do not consider affiliations, such as a class at school. In schools, friendships change after a class has changed. This paper ...


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  • Opinion evolution of a social group with extreme opinion leaders

    Opinion dynamics is a collective decision making and focuses on the study of evolution and formation of opinions in a social group. Bounded confidence rule is one of intrinsical interaction principles in the human behavior dynamics. When there is no opinion leader in a social group, for a bounded confidence based opinion dynamics, the evolution of the collective opinion of the group generally depends on the initial opinions, the confidence levels, and the group size. In this paper, a new opinion dynamics model is built, on the basis of the bounded confidence rule, to consider the opinion formation in a community with extreme opinion leaders. The leaders are divided into two classes: positive leaders and negative leaders. All the agents are assumed to have heterogeneous confidence levels. Then the impacts of the opinion leaders on the final opinions of the social agents are analyzed for different trust degree and bounded confidence levels. Finally, some computer simulation results are presented to demonstrate the formation of the collective opinion.

  • A computational model of a norm's yield

    While several works have been conducted on norms detection and identification, almost non-existent work has explored the notion of norm's yield to trigger agents to adopt new norms. In other words, in most of the literature on norms, agents are not aware of the “yield” or gain from the enacted norms. Instead, they use some mining algorithms to identify the norms from a set of observed events and subsequently adopting the norms without further analysis. Consequently, it would be interesting to look into agents that can deal with norm's yield. In this paper, we propose a computational model of a norm's yield. When an agent could measure a norm's yield, it would have greater reasoning ability about the norm's effects on its performance, which in turn trigger the agent to adopt or reject the norm.

  • Homophily and Nationality Assortativity Among the Most Cited Researchers' Social Network

    It is well known that individuals in social networks tend to exhibit homophily, the preference of people to associate with others from the same social group or type. Graph assortativity or Modularity is the most accepted measure for the homophily level of the whole network. It is well defined for simple networks where each node has a single type, and edges are unweighted. In this work, we extend modularity and assortativity in several ways. First, we define type assortativity which measures the homophily level of each type and enable the comparison between types of different size within the network. Second, we extend the measures to the case of nodes with multiple types and weighted edges. We evaluate our definitions on a weighted, research collaboration, social network between the most cited authors in the ACM digital library. We use nationality-based multiple types where a author can belong to multiple nationalities. While nationality-based homophily is trivial when the network is large (based on local research at universities) our empirical results show that even for the top 1000 authors a high level of nationality-based homophily exists, and different nationalities exhibit a different level of homophily.

  • Research on Quantitative Computation Method of Elevator Safety Accident Based on Risk Perception

    From the perspective of risk perception, this paper analyze hierarchy process (AHP) and fuzzy evaluation method to divide the elevator related people into five categories: producers, operators, regulators, social public and specialized technical personnel in elevator. Moreover, according the risk perception characteristics of each category and its proportion in social groups, it establishes a three level evaluation level evaluation index system of influencing factors of risk perception, and analyzes in detail the key factors that cause risk perception mutation. Then establishes the quantitative calculation method of risk perception of elevator safety accident to analyze and calculate the risk perception process of elevator safety. Therefore, it can provide theoretical and method support in the prevention, early warning, rescue, evaluation and other related management work of elevator safety accident.

  • A Friendship Generation Model Considering Affiliations

    To motivate the members of an organization, it is important for the manager of the organization to understand the characteristics of changing friendships among the members. There are friendship generation models based on rational and structural choices, but most do not consider affiliations, such as a class at school. In schools, friendships change after a class has changed. This paper proposes a friendship generation model considering affiliations based on structural choice. Simulations show that if the model has a strong influence of affiliations, the model better matches the actual changes of friendship.

  • On fuzzy Hegelsman-Krause opinion dynamics

    In this paper, a fuzzy model of opinion dynamics is built to extend the classical Hegelsman-Krause model. The new model takes into account the factors of the uncertainty of agents' opinions and describes the interaction mechanism for the social group by using fuzzy set theory. The confidence levels of social agents are also modeled by a fuzzy variable. The evolution of fuzzy opinions of the social group is analyzed through numerical simulations. The analytical results show that the opinions of the majority of the population converge on the intermediate opinion as time goes. The proposed model effectively explains the interaction and evolution of group opinion in real society when opinions are uncertain.

  • Toward Future Networks for the Thing-user Centric Communication

    The current networks are designed for supporting human-to-human or human-to- object interaction. In the future networks, the thing device will be smart enough to coordinate a collaborative work group for things-to-things interaction without human intervention. A thing becomes thing-user who utilizes data or service provided by other things autonomously to acquire information or aids for solving a problem. As for the increase of self- maintained thing devices connected over heterogeneous service networks, it becomes more important to provide connections among thing devices located in proximity. This paper proposes a framework to accommodate the thing-user centric communications.

  • Cloud service — Cyber social democracy and smart university

    The system of cloud services CyUni for active monitoring and management of digitized scientific and educational processes, primary and secondary departments of the university is proposed. CyUni is based on the technological culture IoT, having the hierarchy structure Cloud — Fog Networks — Mobile [1-4], which excludes the paper carriers, and dependence on subjectivism of academic officials. Socially significant model for human-free cyber monitoring the state structures is created; it allows depriving an authoritarian leader from the functionality of subjective managing resources and processes. The models of the harmonious interaction of the democratic voting rules and cyber monitoring for decision-making in public universities and organizations are developed [5-8]. Market feasibility of the CyUni-service is defined; it is determined by the trend of global enter of cyber services in the state scientific and educational structures focused on initiating of activity of the teaching staff that can improve productivity of scientists, at least twice.

  • Locomotion with Virtual Agents in the Realm of Social Virtual Reality

    My research focuses on social locomotion of computer-controlled, human-like, virtual agents in virtual reality applications. Two main areas are covered in the literature: a) user-agent-dynamics in, e.g., pedestrian scenarios and b) pure inter-agent-dynamics. However, joint locomotion of a social group consisting of a user and one to several virtual agents has not been investigated yet. I intend to close this gap by contributing an algorithmic model of an agent's behavior during social locomotion. In addition, I plan to evaluate the effects of the resulting agent's locomotion patterns on a user's perceived degree of immersion, comfort, as well as social presence.

  • Noise Tainted RGB ImageThresholding by Integrating SGO and Kapur’s Function

    Image thresholding is an extensively accepted segmentation practice to extract the section of attention from a digital picture. Here, multi-thresholding is projected for the RGB picture with Social Group Optimization (SGO) algorithm. The chief motivation of this work is to investigate the presentation of well- known image segmentation procedure known as Kapur's function. SGO and Kapur integrated procedures considered to enhance RGB picture stained with noises, like Gaussian (GN) and Speckle (SN). The capability of Kapur's function is established with the well-known image quality measures available. The simulation outcome authenticates that, for the considered problem, Kapur's offers better result for the original and noise stained images.



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