scholarly journals When Social Network Effect Meets Congestion Effect in Wireless Networks: Data Usage Equilibrium and Optimal Pricing

2017 ◽  
Vol 35 (2) ◽  
pp. 449-462 ◽  
Author(s):  
Xiaowen Gong ◽  
Lingjie Duan ◽  
Xu Chen ◽  
Junshan Zhang
2017 ◽  
Vol 7 (3) ◽  
pp. 149-156
Author(s):  
Mucahit Baydar ◽  
Songul Albayrak

AbstractDevelopments in mobile devices and wireless networks have led to the increasing popularity of location-based social networks. These networks allow users to explore new places, share their location, videos and photos and make friends. They give information about the mobility of users, which can be used to improve the networks. This paper studies the problem of predicting the next check-in of users of location-based social networks. For an accurate prediction, we first analyse the datasets that are obtained from the social networks, Foursquare and Gowalla. Then we obtain some features like place popularity, place popular time range, place distance to user’s home, user’s past visits, category preferences and friendships ,which are used for prediction and deeper understanding of the user behaviours. We use each feature individually, and then in combination, using the new method. Finally, we compare the acquired results and observe the improvement with the new method.Keywords: Location prediction, location-based social network, check-in data.


2008 ◽  
Vol 11 (02) ◽  
pp. 289-302 ◽  
Author(s):  
WIDAD GUECHTOULI

The aim of this paper is to model the process of learning within a social network and compare the levels of learning in two different situations: one where individuals know others' competencies as given data and interact on this basis; and one where individuals know nothing about others' competencies but rather build this knowledge over time, according to their past interactions. For this purpose, we build an agent-based model, and model these two scenarios of simulations. Results are partly studied using network analysis, and they show that in the second type of simulations agents are able to identify the most competent agents in the network and increase their competencies. Results also show that learning is easier when there is no prior knowledge of others' competencies. Otherwise, agents deal with a congestion effect that slows down the learning process.


2013 ◽  
Vol 43 (5) ◽  
pp. 850-868 ◽  
Author(s):  
Gregory D. Saxton ◽  
Lili Wang

2018 ◽  
Vol 67 (8) ◽  
pp. 7497-7507 ◽  
Author(s):  
Mengyuan Zhang ◽  
Lei Yang ◽  
Xiaowen Gong ◽  
Shibo He ◽  
Junshan Zhang

2016 ◽  
Vol 37 (4) ◽  
pp. 425-443 ◽  
Author(s):  
Eun Jin Shin

This article examines the relationship between immigrants’ residence in an ethnic enclave and use of alternative modes of transportation. Ethnic enclaves may offer stronger social networks, which may affect mode choice. Using the 2012–2013 California Household Travel Survey, I find that immigrants residing in ethnic enclaves have higher rates of household-external carpooling for nonwork trip purposes than immigrants residing outside ethnic enclaves. I find no difference in the rate of transit use, once built environment characteristics are taken into account. External carpools require arrangements between people in different households, and thus may reflect the social network effect of ethnic enclaves.


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