Mobile Homophily and Social Location Prediction
نویسندگان
چکیده
The mobility behavior of human beings is predictable to a varying degree e.g. depending on the traits of their personality such as the trait extraversion introversion: the mobility of introvert users may be more dominated by routines and habitual movement patterns, resulting in a more predictable mobility behavior on the basis of their own location history while, in contrast, extrovert users get about a lot and are explorative by nature, which may hamper the prediction of their mobility. However, socially more active and extrovert users meet more people and share information, experiences, believes, thoughts etc. with others. which in turn leads to a high interdependency between their mobility and social lives. Using a large LBSN dataset, his paper investigates the interdependency between human mobility and social proximity, the influence of social networks on enhancing location prediction of an individual and the transmission of social trends/influences within social networks.
منابع مشابه
Providing a Link Prediction Model based on Structural and Homophily Similarity in Social Networks
In recent years, with the growing number of online social networks, these networks have become one of the best markets for advertising and commerce, so studying these networks is very important. Most online social networks are growing and changing with new communications (new edges). Forecasting new edges in online social networks can give us a better understanding of the growth of these networ...
متن کامل"Birds of a Feather": Does User Homophily Impact Information Diffusion in Social Media?
This article investigates the impact of user homophily on the social process of information diffusion in online social media. Over several decades, social scientists have been interested in the idea that similarity breeds connection—precisely known as “homophily”. “Homophily”, has been extensively studied in the social sciences and refers to the idea that users in a social system tend to bond m...
متن کاملHomophily of Network Ties and Bonding and Bridging Social Capital in Computer-Mediated Distributed Teams
This research studied homophily of network ties in distributed teams in both taskrelated instrumental networks and non-task related expressive networks. Homophily of network ties was examined in terms of demographic and social characteristics, including gender, race, geographic location, and group assignment. Social network data were collected from 32 students enrolled in a distance learning cl...
متن کاملLearning from Your Friends’ Check-Ins: An Empirical Study of Location-Based Social Networks
Recently, mobile applications have offered users the option to share their location information with friends. Using data from a major location-based social networking application in China (a Foursquare-like application), we estimate a structural model of restaurant discovery and observational learning. The unique feature of repeated customer visits in the data allows us to examine observational...
متن کاملBias and variance in the social structure of gender
The observation that individuals tend to be friends with people who are similar to themselves, commonly known as homophily, is a prominent and well-studied feature of social networks. Many machine learning methods exploit homophily to predict attributes of individuals based on the attributes of their friends. Meanwhile, recent work has shown that gender homophily can be weak or nonexistent in p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1506.07763 شماره
صفحات -
تاریخ انتشار 2015