Competitor identification: A review of use cases, data sources, and algorithms

M Werle, S Laumer - International Journal of Information Management, 2022 - Elsevier
Businesses have to deal with and survive in competitive, constantly changing landscapes
due to new entrants and exogenous shocks like the COVID-19 pandemic. Furthermore …

Location driven influence maximization: Online spread via offline deployment

Q Shi, C Wang, J Chen, Y Feng, C Chen - Knowledge-Based Systems, 2019 - Elsevier
Existing works on influence maximization (IM) aim at finding influential online users as seed
nodes. Originated from these seed nodes, large online influence spread can be triggered …

Location influence in location-based social networks

MA Saleem, R Kumar, T Calders, X Xie… - Proceedings of the tenth …, 2017 - dl.acm.org
Location-based social networks (LBSN) are social networks complemented with location
data such as geo-tagged activity data of its users. In this paper, we study how users of a …

Mining competitors from large unstructured datasets

G Valkanas, T Lappas… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In any competitive business, success is based on the ability to make an item more appealing
to customers than the competition. A number of questions arise in the context of this task …

Urban area function zoning based on user relationships in location-based social networks

F Hao, J Zhang, Z Duan, L Zhao, L Guo, DS Park - IEEE Access, 2020 - ieeexplore.ieee.org
With advanced development of Internet communication and ubiquitous computing, Social
Networks are providing an important information channel for smart city construction …

Competitive relationship prediction for points of interest: A neural graphlet based approach

J Zhou, T Huang, S Li, R Hu, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Competition between Points of Interest (POIs) refers to the situation in which two POIs
directly or indirectly provide similar services to secure businesses. A large portion of prior …

Modeling location-based social network data with area attraction and neighborhood competition

TN Doan, EP Lim - Data Mining and Knowledge Discovery, 2019 - Springer
Modeling user check-in behavior helps us gain useful insights about venues as well as the
users visiting them. These insights are important in urban planning and recommender …

A novel method for identifying competitors using a financial transaction network

J Choi, A Tosyali, B Kim, H Lee… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Identifying competitors is an essential first step in creating a competitive advantage to
generate superior business performance. Diverse methods for competitor identification have …

Competitor identification with memory in a dynamic financial transaction network

J Choi, B Kim, H Lee - Annals of Operations Research, 2023 - Springer
Competitor identification (CI) is an essential step in establishing an effective competitive
business strategy. For complex business environments, network-based CI methods have …

Annotated examples and parameterized exercises: Analyzing students' behavior patterns

M Mirzaei, S Sahebi, P Brusilovsky - … , AIED 2019, Chicago, IL, USA, June …, 2019 - Springer
Recent studies of student problem-solving behavior have shown stable behavior patterns
within student groups. In this work, we study patterns of student behavior in a richer self …