Using Data from Location Based Social Networks for Urban Activity Clustering

2013 ◽  
pp. 55-72 ◽  
Author(s):  
Roberto Rösler ◽  
Thomas Liebig
Keyword(s):  
Social Networks ◽  
Using Data ◽  
Location Based Social Networks ◽  
Urban Activity

scholarly journals Joint Promotion Partner Recommendation Systems Using Data from Location-Based Social Networks

2021 ◽  
Vol 10 (2) ◽  
pp. 57
Author(s):  
Yi-Chung Chen ◽  
Hsi-Ho Huang ◽  
Sheng-Min Chiu ◽  
Chiang Lee
Keyword(s):  
Social Networks ◽  
Case Studies ◽  
Business Strategy ◽  
Real Life ◽  
Operational Cost ◽  
Customer Base ◽  
Promotional Strategy ◽  
Effectiveness And Efficiency ◽  
Using Data ◽  
Location Based Social Networks

Joint promotion is a valuable business strategy that enables companies to attract more customers at lower operational cost. However, finding a suitable partner can be extremely difficult. Conventionally, one of the most common approaches is to conduct survey-based analysis; however, this method can be unreliable as well as time-consuming, considering that there are likely to be thousands of potential partners in a city. This article proposes a framework to recommend Joint Promotion Partners using location-based social networks (LBSN) data. We considered six factors in determining the suitability of a partner (customer base, association, rating and awareness, prices and star ratings, distance, and promotional strategy) and developed efficient algorithms to perform the required calculations. The effectiveness and efficiency of our algorithms were verified using the Foursquare dataset and real-life case studies.

Tracking Group Movement in Location Based Social Networks

2020 ◽  
Author(s):  
Sameera Kannangara ◽  
Hairuo Xie ◽  
Egemen Tanin ◽  
Aaron Harwood ◽  
Shanika Karunasekera
Keyword(s):  
Social Networks ◽  
Group Movement ◽  
Location Based Social Networks

scholarly journals The Network Structure of Police Misconduct

2019 ◽  
Vol 5 ◽  
pp. 237802311987979 ◽  
Author(s):  
George Wood ◽  
Daria Roithmayr ◽  
Andrew V. Papachristos
Keyword(s):  
Social Networks ◽  
Network Structure ◽  
Police Officers ◽  
Police Misconduct ◽  
Police Departments ◽  
Top Down ◽  
Network Ties ◽  
Individual Level ◽  
Factors Associated ◽  
Using Data

Conventional explanations of police misconduct generally adopt a microlevel focus on deviant officers or a macrolevel focus on the top-down organization of police departments. Between these levels are social networks of misconduct. This study recreates these networks using data on 16,503 complaints and 15,811 police officers over a six-year period in Chicago. We examine individual-level factors associated with receiving a complaint, the basic properties of these misconduct networks, and factors related to officer co-naming in complaints. We find that the incidence of police misconduct is associated with attributes including race, age, and tenure and that almost half of police officers are connected in misconduct ties in broader networks of misconduct. We also find that certain dyadic factors, especially seniority and race, strongly predict network ties and the incidence of group misconduct. Our results provide actionable information regarding possible ways to leverage the co-complaint network structure to reduce misconduct.

Sign in / Sign up

Export Citation Format

Share Document