Social Security Events Research Articles

A simulation-based emergency force planning method for social security events

The occurrence of social security events is uncertain, and the distribution characteristics are highly complex due to a variety of external factors, posing challenges to their rapid and effective handling. The scientific and reasonable requirement evaluation of the emergency force to deal with social security events is very urgent. Based on data analysis, this paper uses the neural network, operational research, modelling and simulation to predict and analyze social security events, studies the usage rule of emergency force and deployment algorithm, and conducts simulation experiments to evaluate and compare the different force deployment schemes for selection.

Public Sentiment Analysis of Social Security Emergencies Based on Feature Fusion Model of BERT and TextLevelGCN

At present, the emotion classification method of Weibo public opinions based on graph neural network cannot solve the polysemy problem well, and the scale of global graph with fixed weight is too large. This paper proposes a feature fusion network model Bert-TextLevelGCN based on BERT pre-training and improved TextGCN. On the one hand, Bert is introduced to obtain the initial vector input of graph neural network containing rich semantic features. On the other hand, the global graph connection window of traditional TextGCN is reduced to the text level, and the message propagation mechanism of global sharing is applied. Finally, the output vector of BERT and TextLevelGCN is fused by interpolation update method, and a more robust mapping of positive and negative sentiment classification of public opinion text of “Tangshan Barbecue Restaurant beating people” is obtained. In the context of the national anti-gang campaign, it is of great significance to accurately and efficiently analyze the emotional characteristics of public opinion in sudden social violence events with bad social impact, which is of great significance to improve the government’s public opinion warning and response ability to public opinion in sudden social security events.

Emergency Cooperation Mechanism under Institutional Collective Action — A Review on Inter Organizational Collaboration

In recent years, due to the high-frequency growth and increasing cross-border nature of all kinds of emergency events, which has made the emergency management ability of a single organization in the face of all kinds of emergencies is not so prominent. How to strengthen the cooperation of different organizations in emergency management has become a major problem to be solved by the governments at all levels. Many scholars in various fields have also carried out a variety of theoretical research and management practice. This paper introduces the role of cooperation mechanism under the institutional collective action framework in the emergency management in the face of different types of emergencies. The emergencies are divided into natural disasters, social security events, disaster accidents and public health emergencies. This study found that cooperation mechanism with different degree of autonomy and complexity can effectively help organizations strengthen their willingness to cooperate, promote formal and informal exchanges, promote the rational flow and effective allocation of resources and promote effective collective action. And the binding and bridging mechanism is more popular with the organization participants in all levels of government when dealing with all kinds of emergencies, while other types of cooperation mechanisms focus on different types of emergencies according to their own characteristics. Through the in-depth study of cooperation mechanism under the institutional collective action framework, it also provides a new idea for the domestic emergency management.

Application Optimization of Cloud Management Mode in Information Technology in Sudden Social Security Incidents

With the change of social structure and management mode, emergency social security incidents have become the focus of social security management. In order to solve the problems of insufficient overall performance and low security in the practical application of cloud management mode in traditional social security emergencies. With the use of improved pick-KX load balancing algorithm and RSA encryption algorithm, this paper optimizes the cloud computing model and applies it to the cloud management mode of emergent social security events. Then the optimized cloud management model is simulated and evaluated by the multi-level fuzzy comprehensive evaluation model. The simulation results reflect that the proposed cloud management model in this paper is able to effectively improve the management effect of social security events.

Early detection of emergency events from social media: a new text clustering approach.

Emergency events require early detection, quick response, and accurate recovery. In the era of big data, social media users can be seen as social sensors to monitor real-time emergency events. This paper proposed an integrated approach to detect all four kinds of emergency events early, including natural disasters, man-made accidents, public health events, and social security events. First, the BERT-Att-BiLSTM model is used to detect emergency-related posts from massive and irrelevant data. Then, the 3 W attribute information (what, where, and when) of the emergency event is extracted. With the 3 W attribute information, we create an unsupervised dynamical event clustering algorithm based on text similarity and combine it with the supervised logistical regression model to cluster posts into different events. Experiments on Sina Weibo data demonstrate the superiority of the proposed framework. Case studies on some real emergency events show that the proposed framework has good performance and high timeliness. Practical applications of the framework are also discussed, followed by future directions for improvement.

Topic-Emotion Propagation Mechanism of Public Emergencies in Social Networks.

The information propagation of emergencies in social networks is often accompanied by the dissemination of the topic and emotion. As a virtual sensor of public emergencies, social networks have been widely used in data mining, knowledge discovery, and machine learning. From the perspective of network, this study aims to explore the topic and emotion propagation mechanism, as well as the interaction and communication relations of the public in social networks under four types of emergencies, including public health events, accidents and disasters, social security events, and natural disasters. Event topics were identified by Word2vec and K-means clustering. The biLSTM model was used to identify emotion in posts. The propagation maps of topic and emotion were presented visually on the network, and the synergistic relationship between topic and emotion propagation as well as the communication characteristics of multiple subjects were analyzed. The results show that there were similarities and differences in the propagation mechanism of topic and emotion in different types of emergencies. There was a positive correlation between topic and emotion of different types of users in social networks in emergencies. Users with a high level of topic influence were often accompanied by a high level of emotion appeal.

Robust optimization approach to emergency mobile facility routing.

Emergency events such as natural disasters, environmental events, sudden illness, and social security events pose tremendous threats to people's lives and property security. In order to meet emergency service demands by rationally allocating mobile facilities, an emergency mobile facility routing model is proposed to maximize the total served demand by the available mobile facilities. Based on the uninterruptible feature of emergency services, the model abstracts emergency events act as a combination of multiple uncertain variables. To overcome the computational difficulty, a robust optimization approach and genetic algorithm are employed to obtain solutions. Illustrative examples show that it provides an effective method for solving the emergency mobile facility routing problem, and that the risk factor and penalty factor of the model can further guide decision-making.

Similarity-based emergency event detection in social media

Emergency events need early detection, quick response, and accuracy recover. In the era of big data, the use of social media platforms is being popularized. Social media users can be seen as social sensors to monitor real time emergency events. In this paper, a similarity-based method is proposed to early detect all kinds of emergency events in social media, including natural disasters, accidents, public health events and social security events. The method focuses on clustering social media texts based on the 3 W attribute information (What, When, and Where) of events. First, with the two-step classification, emergency related messages are detected and divided into different types from the massive and irrelevant data. Second, the time and location information are respectively extracted with the regular expression matching and the BiLSTM model. Finally, the text similarity is calculated using the type, time and location information, based on which social media texts are clustered into different events. The experiments on Sina Weibo data demonstrate the superiority of the proposed framework. Case studies on some real emergency events show the proposed framework has good performance and high timeliness. As the attribute information of events is extracted during the algorithm flow, it can be described what emergency, and when and where it happened.

Temporal and spatial evolution of online public sentiment on emergencies

The transmission of online emergency information has become an active means of expressing public opinion and has vitally affected societal emergency response techniques. This paper analyzes interactions between three groups in time and space using a classic SIR (susceptible, infected, and recovered) epidemic model. Through social network theory and analog simulation analysis, we utilize data from China's Sina Weibo (a popular social media platform) to conduct empirical research on 101 major incidents in China that occurred between 2010 and 2017. We divide these emergencies into four types—natural disasters, accidents, public health events, and social security events—and conduct a simulation using three examples from each group. The results show that government control of public opinion is both cheaper and more effective when it occurs at the initial stages of an incident. By cooperating with the government, the media can facilitate emergency management. Finally, if netizens trust the government and the media, they are more likely to make cooperative decisions, maintain interest, and improve the management of online public sentiment.

Efficient multi-event monitoring using built-in search engines

Users of the internet often wish to follow certain news events, and the interests of these users often overlap. General search engines (GSEs) cannot be used to achieve this task due to incomplete coverage and lack of freshness. Instead, a broker is used to regularly query the built-in search engines (BSEs) of news and social media sites. Each user defines an event profile consisting of a set of query rules called event rules (ERs). To ensure that queries match the semantics of BSEs, ERs are transformed into a disjunctive normal form, and separated into conjunctive clauses (atomic event rules, AERs). It is slow to process all AERs on BSEs, and can violate query submission rate limits. Accordingly, the set of AERs is reduced to eliminate AERs that are duplicates, or logically contained by other AERs. Five types of event are selected for experimental comparison and analysis, including natural disasters, accident disasters, public health events, social security events, and negative events of public servants. Using 12 BSEs, 85 ERs for five types of events are defined by five users. Experimental comparison is conducted on three aspects: event rule reduction ratio, number of collected events, and that of related events. Experimental results in this paper show that event rule reduction effectively enhances the efficiency of crawling.

Study on Urban Public Security Planning

The aim of this research is to understand the progress of urban public security planning. In this study, through literature review and comprehensive analysis on related regulations, firstly the risks of public security were identifies and classified into four categories, including natural disasters, accidental disasters, public hygiene events, and social security events. Secondly the risk mechanism for urban public security was defined. Then the progress of theoretical research on urban public security was summarized.

The Role of ICT in Publc Safety and Emergency Management in China

Since the outbreak of “SARS” crisis in 2003, the theory and practice of public safety emergency management had started in China and China government gradually established a general system which took so called “one contingency plan, three systems” as its core mechanism. This article analyzed the position and role that information and communication technology occupied and played at all stages of this formation of general system. Also this article took China weather emergency management practice as an example to describe the specific and significant role that ICT played. Finally, this article also explained the objectives and plans of China government to improve the existing public safety emergency management. Public safety emergency events refer to those sudden outbreaks that government faces in managing national affairs, such as earthquakes, natural disasters, epidemics, terrorist attacks and so on. It falls into four categories: natural disasters, accidents, public health events and social security events. It has three characteristics: abruptness, universality and urgency. First of all, these events happen in a sudden and difficult to predict. Even through information gathering and observations, we can capture some earlier warning information, but it is still difficult to accurately report details of events such as time and place. Secondly, public safety emergency events affect a wide range of persons and often bring a chain of effects like dominos. It pushes the public safety emergencies to a more complex level. Along with the pace of globalization, public safety emergency events may further affect a wider range of area. It could bring catastrophic destruction to the world. For example, the earthquake and tsunami crisis in Japan in 2011 evolved into nuclear radiation crisis. Furthermore, due to public safety emergency events can’t be prevented and controlled in advance, it always make us harder to deal with. In view of such features, it is not difficult to see that if we can’t make effective and timely treatment when the emergencies happen, it will not only affect people’s lives and interests, but also will cause serious social unrest and threaten the community’s trust in government. Public safety emergency management is to establish a public safety emergency response system to enhance crisis response ability and reduce the loss of the crisis. Public safety emergency management is a comprehensive affair that involves multi sectors and disciplines. Information and communication technology has been playing an irreplaceable role in China’s Public safety emergency management practice. Broadly speaking, since the beginning of human society, public safety emergency events never stop to affect people’s lives. To some extent, how to integrate a variety of resources to deal with catastrophic events is an important reason of the birth of government. Before the outbreak of “SARS” crisis in 2003 which sweep not only China but also the whole world, emergency management practice of Chinese governments at all levels stayed in a passive and lack of coordination state. It can be said that a self-conscious, integrated and institutionalized emergencymanagement practice started since the “SARS” outbreak in 2003. After the “SARS” crisis, China’s ruling party and government had decided to strengthen the emergency management structure, mechanism and legal system and made strategic deployment along with working plans [15] From 2003 to 2008, Chinese Government gradually established a general system which took so called “one contingency plan, three systems” as Its core mechanism. Three systems here refer to the emergency management structure, mechanism and legal system [1].