A
Alexander G. Nikolaev
Researcher at University at Buffalo
Publications - 66
Citations - 1214
Alexander G. Nikolaev is an academic researcher from University at Buffalo. The author has contributed to research in topics: Social network & Population. The author has an hindex of 17, co-authored 65 publications receiving 909 citations. Previous affiliations of Alexander G. Nikolaev include Northwestern University & State University of New York System.
Papers
More filters
Journal ArticleDOI
Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers
TL;DR: In this article, the authors demonstrate the potential benefits of crowdsourcing last mile delivery by exploiting a social network of the customers and show that using friends in social networks to assist in last-mile delivery greatly reduces delivery costs and total emissions while ensuring speedy and reliable delivery.
Journal ArticleDOI
Inventory rebalancing through pricing in public bike sharing systems
TL;DR: A routing model for repositioned trucks is used to show that the proposed optimization model and the latter heuristic approach, called the iterative price adjustment scheme (IPAS), reduce the overall operating cost while partially or fully obviating the need for a manual repositioning operation.
Journal ArticleDOI
Health care provider social network analysis: A systematic review
TL;DR: Examining studies using social network analysis (SNA) in the health care workforce and assessing factors contributing to social network and their relationships with care processes and patient outcomes found the level of technical sophistication in these studies tended to be low.
Journal ArticleDOI
Evaluating the impact of legislation prohibiting hand-held cell phone use while driving
TL;DR: In this paper, the authors analyzed the impact of hand-held cell phone use on driving safety based on historical automobile-accident-risk-related data and statistics, which would be of interest to transportation policy-makers.
Journal ArticleDOI
On efficient use of entropy centrality for social network analysis and community detection
TL;DR: A variation of entropy centrality is defined based on a discrete, random Markovian transfer process and allows for varying locality in centrality analyses, thereby distinguishing locally central and globally central network nodes.