B2C e-commerce logistics network optimization model

In this paper, considering the characteristics of e-commerce logistics and the problems arising from the construction of logistics network, based on the full investigation and research of the B2C electricity supplier operation mode, we have studied and summarized the research results of scholars at home and abroad aiming at the related problems, and summarized and summarized the methods and steps of logistics network optimization in the whole country. First, we established the logistics network structure.The definition of network level, node function and connection between nodes is carried out. Then, through the improved urban agglomeration order gravity model, the scope of self logistics city is screened. Finally, the link of logistics network structure is scheduled for completion with the goal of cost optimization.

B2C E-Commerce Logistics Network Optimization Model

In this paper, considering the characteristics of e-commerce logistics and the problems arising from the construction of logistics network, based on the full investigation and research of the B2C electricity supplier operation mode, we have studied and summarized the research results of scholars at home and abroad aiming at the related problems, and summarized and summarized the methods and steps of logistics network optimization in the whole country. First, we established the logistics network structure.The definition of network level, node function and connection between nodes is carried out. Then, through the improved urban agglomeration order gravity model, the scope of self logistics city is screened. Finally, the link of logistics network structure is scheduled for completion with the goal of cost optimization.

How Members of Covert Networks Conceal the Identities of Their Leaders

Centrality measures are the most commonly advocated social network analysis tools for identifying leaders of covert organizations. While the literature has predominantly focused on studying the effectiveness of existing centrality measures or developing new ones, we study the problem from the opposite perspective, by focusing on how a group of leaders can avoid being identified by centrality measures as key members of a covert network. More specifically, we analyze the problem of choosing a set of edges to be added to a network to decrease the leaders’ ranking according to three fundamental centrality measures, namely, degree, closeness, and betweenness. We prove that this problem is NP-complete for each measure. Moreover, we study how the leaders can construct a network from scratch, designed specifically to keep them hidden from centrality measures. We identify a network structure that not only guarantees to hide the leaders to a certain extent but also allows them to spread their influence across the network.

Remedial Boundary Work and Gatekeeper Centrality in a Virtual Entrepreneur Community

Virtual communities of practice invoke novel forms of boundary work that are newly visible via publicly recorded discourse and failure narratives. This boundary work has critical implications for occupational knowledge, membership, and stratification. Building on social exchange theorization of network gatekeeping, the author tests the assumption that centralized peers are more competitive gatekeepers, in that they react more negatively to remedial narratives. The author tests this theory using empirical data from a virtual entrepreneur community on Reddit. The author finds that a peer’s tenure in the community network is directly related to exclusive, competitive boundary work of remedial members. However, by looking beyond the network structure to the content of the tie, the author finds that exclusive boundary work is not as impactful as inclusive, collaborative boundary work in this open network setting. The author builds on relational cohesion and exchange commitment theory to explain how remedial practitioners circumvent central community gatekeepers through failure narratives that provoke empathy from peripheral peers who experience higher uncertainty than core peers. Understanding these dynamics is critical to promoting recovery from failure and vitality of the community of practice.