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With the rapid development of internet technology, open online social networks provide a broader platform for information spreading. While dissemination of information provides convenience for life, it also brings many problems such as security risks and public opinion orientation. Various negative, malicious and false information spread across regions, which seriously affect social harmony and national security. Therefore, this paper aims to minimize negative information such as online rumors that has attracted extensive attention. The most existing algorithms for blocking rumors have prevented the spread of rumors to some extent, but these algorithms are designed based on entire social networks, mainly focusing on the microstructure of the network, i.e. the pairwise relationship or similarity between nodes. The blocking effect of these algorithms may be unsatisfactory in some networks because of the sparse data in the microstructure.

An algorithm for minimizing the influence of dynamic rumor based on community structure is proposed in this paper. The algorithm first divides the network into communities, and integrates the influence of each node within communities and rumor influence probability to measure the influence of each node in the entire network, and then selects key nodes and bridge nodes in communities as blocked nodes. After that, a dynamic blocking strategy is adopted to improve the blocking effect of rumors.

Community structure is one of the most prominent features of networks. It reveals the organizational structure and functional components of a network from a mesoscopic level. The utilization of community structure can provide effective and rich information to solve the problem of data sparsity in the microstructure, thus effectively improve the blocking effect. Extensive experiments on two real-world data sets have validated that the proposed algorithm has superior performance than the baseline algorithms.

As an important research direction of social network analysis, rumor minimization has a profound effect on the harmony and stability of society and the development of social media. However, because the rumor spread has the characteristics of multiple propagation paths, fast propagation speed, wide propagation area and time-varying, it is a huge challenge to improve the effectiveness of the rumor blocking algorithm.

Whether older or younger entrepreneurs may be better positioned to achieve performance outcomes for their ventures is a much debated question. Here, we draw on Galenson℉s theory of creativity to propose a contingency perspective for understanding the relationship between entrepreneur age and venture performance, suggesting that a venture℉s level of innovativeness plays a moderating role. Results from a representative sample of 1,182 nascent entrepreneurs revealed mixed support for our hypotheses. While a negative relationship was found between entrepreneur age and performance for those developing “innovative” ventures, no relationship was found between entrepreneur age and performance for those developing “imitative” ventures.

This paper introduces a new mathematical model for analyzing the economic benefits of incorporating the fourth party logistics (4PL), which is a contractor (i.e. agent) for the supply chain coordination and construction based on the division of community and the outsourcing development. Based on the physical theory and the wave-particle duality, a supply chain is the special organization whose characteristic has wave-particle duality. The mathematical model enriches the connotation of 4PL and it broadens the thought for 4PL development. Secondly, the proposed mathematical model predicated on transaction costs, is supported by Transaction Cost Theory (TCT) and acts as the theoretical analysis tool of 4PL for coordinating 3-party generic supply chain. Through the model, some trendy conclusions can be drawn to provide theoretical support for 4PL’s practices. Finally, a case illustrates our conclusions.

This paper aims to address third actor introductions to interaction episodes aiming at fast-forwarding the continuous development of business relationships of new firms.

The study is qualitative, collecting data from 30 interviews from 28 informants associated with creation of new ventures and business network development in the context of a novel type of third actor called venture builder. Venture builders are privately owned organizations devoted to new firm creation in a factory-like mode, collaborating with individual entrepreneurs.

The findings suggest that interaction episodes, central to the development of new relationships, may be triggered by introductions managed by third actors using different types of involvement depending on the location and focus of the potential relationship. A framework is presented including four types of introductions to interaction episodes, aiming at saving time by removing the perceived distance between new firms and their counterparts in the initiation of business relationships. The framework describes four types of introductions of interaction episodes: Managed, Advised, Facilitated and Monitored.

Triggers and introductions of interaction episodes for new firms has previously been sparsely addressed. This paper presents how third actor involvement, by the introductions of interaction episodes with internal and external counterparts is managed with an aim of fast-forwarding relationship development.

This paper aims to investigate the theoretical and practical links between digital twin (DT) application in heritage facilities management (HFM) from a life cycle management perspective and to signpost the future development directions of DT in HFM.

This state-of-the-art review was conducted using a systematic literature review method. Inclusive and exclusive criteria were identified and used to retrieve relevant literature from renowned literature databases. Shortlisted publications were analysed using the VOSviewer software and then critically reviewed to reveal the status quo of research in the subject area.

The review results show that DT has been mainly adopted to support decision-making on conservation approach and method selection, performance monitoring and prediction, maintenance strategies design and development, and energy evaluation and management. Although many researchers attempted to develop DT models for part of a heritage building at component or system level and test the models using real-life cases, their works were constrained by availability of empirical data. Furthermore, data capture approaches, data acquisition methods and modelling with multi-source data are found to be the existing challenges of DT application in HFM.

In a broader sense, this study contributes to the field of engineering, construction and architectural management by providing an overview of how DT has been applied to support management activities throughout the building life cycle. For the HFM practice, a DT-cum-heritage building information modelling (HBIM) framework was developed to illustrate how DT can be integrated with HBIM to facilitate future DT application in HFM. The overall implication of this study is that it reveals the potential of heritage DT in facilitating HFM in the urban development context.

This paper aims to synthesize the existing literature on virtual reality (VR) in the luxury fashion industry, discuss the current practical applications of VR technologies and review previous research undertaken in the luxury fashion field.

This paper conducts a systematic review and thematic analysis of existing literature to evaluate current research concerning VR and the luxury fashion industry. This search initially returned a total of 1,131 sources. After establishing and applying criteria of exclusion and inclusion, a total of 46 articles were selected for the thematic analysis.

Five major themes were identified, including virtual luxury fashion consumption, VR in marketing communication, virtual try-on, VR retail (including virtual fashion retail spaces) and virtual worlds (including customers’ virtual representation as avatars). The importance of these themes for the study of VR in luxury fashion is supported by relevant studies in the literature.

Whilst research into VR use within luxury fashion has increased recently, it remains fragmented. Given the absence of a comprehensive review addressing this topic within the literature, this paper will help scholars and fashion brands better understand the effects of VR on the luxury fashion industry. By integrating current practice and existing research, this paper contributes to a better understanding of how and where VR is used in luxury fashion contexts.