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Joint Selection of Influential Users and Locations under Target Region in Location-Based Social Networks
Khurshed Ali1,2, Cheng-Te Li3, Yi-Shin Chen2
1TIGP-SNHCC, Institute of Information Science, Academia Sinica, Taipei 115, Taiwan.
Sensors (Basel, Switzerland)
|January 26, 2021
Summary
This study introduces a new approach for influence maximization in location-based social networks. It highlights that selecting suitable influential users and locations, not just popular ones, is key for effective product promotion.
Area of Science:
- Social Network Analysis
- Location-Based Social Networks
- Marketing Analytics
Background:
- Traditional influence maximization neglects location importance in social networks.
- Marketing campaigns require identifying influential users and suitable locations for product promotion.
- Existing methods overlook the interplay between user influence and location characteristics.
Purpose of the Study:
- To address the joint selection of influential users and locations for product promotion in location-based social networks.
- To propose methods for both general and specific location type recommendations.
- To investigate the effectiveness of location popularity metrics in marketing.
Main Methods:
- Development of heuristic-based methods for selecting influential users and locations.
- Evaluation of two perspectives: general location selection and specific location type preference.
- Experimental analysis of proposed methods on location-based social network data.
Main Results:
- Heuristic methods effectively identify influential users and locations for promotion.
- Location popularity metrics (e.g., ratings, check-ins) are not always reliable indicators for marketing success.
- The joint selection of influential users and suitable locations significantly enhances product promotion.
Conclusions:
- Effective product promotion in location-based social networks requires considering both influential users and strategically chosen locations.
- Relying solely on popularity metrics for location selection can be suboptimal for marketing.
- The proposed methods offer a more nuanced approach to influence maximization in location-aware contexts.
Keywords:
influence maximizationlocation-based social networksrecommendation systemsocial network analysisviral marketingMore Related Videos
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