Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust’s Social Network Analysis: Methods and Applications, it is a collection of original articles by leading methodologists reviewing recent advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodeling, the analysis of diffusion through networks, the analysis of affiliation or “two-mode” networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphic techniques for exploring network data, and software for the analysis of social networks.

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Models and methods in social network analysis

The invention discloses a working method of equipment and a system for online activating a mobile terminal token, and belongs to the field of information safety. The method is applied to the system composed of a cloud certification management platform, a cloud certification server, a terminal and the mobile terminal token. The method comprises the steps that the cloud certification server generates a first activation response and sends the first activation response to the cloud certification management platform according to a first activation request sent by the cloud certification management platform, the cloud certification management platform sends the first activation response to a terminal to be displayed, after the mobile terminal token obtains the first activation response, the mobile terminal token has access to the cloud certification server, a network data link is built, and the mobile terminal token and the cloud certification server send the data to be activated through the network data link. By the adoption of the technical scheme, in the activation process of the mobile terminal token, through safe interaction between the mobile terminal token and the cloud certification server, activation of the mobile terminal token can be achieved, and the safety of the activation process is improved.

Working method of equipment and system for online activating mobile terminal token

The invention belongs to the field of computer network information technology analysis, and discloses a prediction method of hot topics participated by users in social networks Based on online users and user friend relation networks, by taking features of three-side relations among personal interests of fans, concerned users and communities into consideration, through time discretization and time slice methods, the influence of a timeliness factor of topic information is added, at the same time, for the purpose of solving the problems of data distribution nonuniformity and network structure sparsity at each phase of life cycles of the hot topics, a hot topic participation prediction model is constructed and the model is fitted, and power factors of the fans in participating in discussion of the topics can be analyzed simply by inputting the data, such that whether the fans of users already participating in the topics participate in the discussion of the topics can be dynamically predicted, and the power factors of participation in the discussion of the topics and the heat trend of the topics can be mined

Prediction method of hot topics participated by users in social networks

The present invention discloses an OTP and user behavior-based certification and authorization method in a mobile cloud computing environment. The method is characterized in that various intelligent mobile terminals available for users are enabled to be accessed to the cloud service via a wireless network in the mobile cloud computing environment and the bidirectional identity authentication between a client and a server is realized through improving the one-time password (OTP) technology. In this way, the safety and the reliability of the identity authentication process are improved. Meanwhile, according to the specific behavior habits of a user accessed to the cloud service, the features of historical behavior data of the user are analyzed and extracted based on the data mining technology. In this way, a knowledge database of the normal behavior patterns of the user is formed. When the user behaves abnormally or suspiciously, the identity of the user is authenticated again. Only when the user passes the identity authentication process, the corresponding service is authorized for the user. Therefore, the illegal operation of others is avoided, and the information security of the user is fully ensured.

OTP and user behavior-based certification and authorization method in mobile cloud computing environment

Provided are a device and system operating method for online activation of a mobile terminal token, belonging to the field of information security and applicable to a system comprising a cloud authentication management platform, a cloud authentication server, a terminal, and a mobile terminal token; the method comprises: according to a first activation request sent by the cloud authentication management platform, the cloud authentication server generates a first activation response and sends same to the cloud authentication management platform; the cloud authentication management platform sends the first activation response to the terminal to be displayed; when the mobile terminal token obtains the first activation response, the token accesses the cloud authentication server and establishes a network data link; by means of the network data link, the mobile terminal token and the cloud authentication server send data and carry out activation. The present invention accomplishes, during the process of mobile terminal token activation, activation of the token by means of secure interaction between the mobile terminal token and the cloud authentication server, thus the security of the activation process is improved.

Device and system operating method for online activation of mobile terminal token

The invention provides a software vulnerability discovery system and method based on attribute extraction and belongs to the field of computer safety. The system comprises a key code discovery module, a vulnerability analyzing module and a vulnerability deduction module. The method includes the following steps: extracting key codes of software to be tested; executing the software to be tested in the virtual machine environment and adopting a virtual machine fault injection engine and the key codes to conduct testing interaction and record a testing result; conducting deduction by combining the testing result and the discovery experience knowledge base. The system and the method effectively achieve complex causal relationship between uncertain software flaw and loopholes. The software vulnerability discovery system method based on the attribute extraction has certain advantages in the aspects of safety, flexibility and compatibility.

Software vulnerability discovery system and method based on attribute extraction

The invention discloses a virtual-desktop security certification method and system facing multiple security levels and relates to user-behavior-based identity authentication method and system realization. Firstly, a security certification method is introduced into a user behavior certification mechanism and a collection, judgment and prediction method for user in-domain and cross-domain behaviors is proposed so that a security certification method design, in which role privileges and user behaviors are combined, is realized; then an encryption part in the certification method adopts a digital signature based on an elliptic curve and a symmetrical encryption algorithm is introduced into a signature algorithm and in order to reduce calculation complexity of the algorithm, a large-integer inversion operation is eliminated in a signature equation so that signature efficiency is improved and security of the certification method and system is ensured; and at last, the system realizes unified identity authentication of users, reduces deployment of authentication servers and reduces cost. The mechanism is widely applicable to related fields of security certification of a cloud computation virtual desk and multiple security levels and the like.

Virtual-desktop security certification system and method facing multiple security levels

The invention discloses a hot topic group influence analysis method based on a grey system theory, and relates to the field of a social network The method comprises the following steps: firstly analyzing user behaviors, researching the group situation of a pushing hot topic, and according to social recognition degree, interaction behaviors, spreading depth and opinion leaders, defining three factors including user individual pushing, friend bidirectional pushing and team pushing in a formalized way; then, aiming at the problems of the unevenness and the sparsity of each stage of data of a topic life cycle, constructing an influence model by the grey system theory, and mining the group object of a pushing topic so as to dynamically display a process of group driving topic evolution According to the hot topic group influence analysis method, the user influence under a hot topic can be quantized, and the unknown dynamic state of the topic can be effectively predicted

Hot topic group influence analysis system and method based on grey system theory

The outbreak of hotspot in social network may contain complex dynamic genesis. Using user behavior data from hotspots in social network, we study how different user groups play different roles for a hotspot topic. Firstly, by analyzing users’ behavior records, we mine group situation that promotes the hotspot. Several major attributions in a hotspot outbreak, such as individual, peer and group triggers, are defined formally according to the view-point of social identity, social interaction, retweet depth and opinion leader. Secondly, for the problem of the uneven and sparse data in each stage of hotspot topic’s life cycle, we propose a dynamic influence model based on grey system to formalize the effect of different groups. Then the process of hotspot evolution driven by distinct crowd is showed dynamically. The experimental result confirms that the model is able not only to qualify users’ influence on a hotspot topic but also to predict effectively an upcoming change in a hotspot topic.

A dynamic influence model of social network hotspot based on grey system

In order to address the problems of cross domain access and dynamic authentication in the multi-level security virtual desktops, this paper proposes a authentication protocol based on multi-level security virtual desktops Firstly, the user behavior authentication mechanism is introduced into the protocol It could achieve the legitimacy of the dynamic authentication of user behavior and improve the flexibility and security of protocol Secondly, the protocol uses digital signature based on elliptic curve cryptography Symmetric encryption algorithm is used to reduce the computational complexity of it The large integer inverse operation is eliminated in the signature equation, which guarantees the safety grade of the signature while improves its efficiency Finally, the security of authentication protocol is proved by BAN logic

Ma Jing

Papers

Software vulnerability discovery system and method based on attribute extraction

Virtual-desktop security certification system and method facing multiple security levels

Hot topic group influence analysis system and method based on grey system theory

A dynamic influence model of social network hotspot based on grey system

Designing of authentication protocol for multi-level security virtual desktops