NDLI: Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors

Please wait, while we are loading the content...

Keynote: On-Line Social Systems with Long-Range Goals

On Predictability of Rare Events Leveraging Social Media: A Machine Learning Perspective

Who Contributes to the Knowledge Sharing Economy?

Identifying Personal Information in Internet Traffic

Overlap Between Google and Bing Web Search Results!: Twitter to the Rescue?

Towards Graph Watermarks

Process-driven Analysis of Dynamics in Online Social Interactions

Location Prediction: Communities Speak Louder than Friends

Information Seeking and Responding Networks in Physical Gatherings: A Case Study of Academic Conferences in Twitter

Dawn of the Selfie Era: The Whos, Wheres, and Hows of Selfies on Instagram

Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams

Social Visibility and the Gifting of Digital Goods

The City Privacy Attack: Combining Social Media and Public Records for Detailed Profiles of Adults and Children

Discovering Opinion Spammer Groups by Network Footprints

Strength in Numbers: Robust Tamper Detection in Crowd Computations

Negative Messages Spread Rapidly and Widely on Social Media

Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors

Mining User Deliberation and Bias in Online Newsgroups: A Dynamic View

Characterizing Conversation Patterns in Reddit: From the Perspectives of Content Properties and User Participation Behaviors

Streaming Graph Partitioning in the Planted Partition Model

Impact of Clustering on the Performance of Network De-anonymization

You Can Yak But You Can't Hide

Diffusion Maximization in Evolving Social Networks

"I don't have a photograph, but you can have my footprints.": Revealing the Demographics of Location Data

Sharing Topics in Pinterest: Understanding Content Creation and Diffusion Behaviors

Team Formation Dynamics: A Study Using Online Learning Data

Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors

Content Provider	ACM Digital Library
Author	Dai, Bing Tian Lim, Ee-Peng Chong, Wen-Haw
Abstract	Location-Based Social Networks (LBSN) such as Foursquare allow users to indicate venue visits via check-ins. This results in much fine grained context-rich data, useful for studying user mobility. In this work, we use check-ins to characterize trips and visitors to two cities, where visitors are defined as having their home cities elsewhere. First, we divide trips into two duration types: long and short. We then show that trip types differ in check-in distributions over venue categories, time slots, as well as check-in intensity. Based on the trip types, we then divide visitors into long-term and short-term visitors. We compare visitor types in terms of popularities of check-in venues and proximities to friends' check-ins. Our findings indicate that short-term visitors are more biased towards popular venues. As for proximity to friends' check-ins, the effect is more consistently observed for long-term visitors. These findings also illustrate that locations of incoming visitors can effectively be analyzed using LBSN data in addition to conducting user surveys which are relatively costlier. Lastly, we investigate the importance of visitor type information in models for venue prediction. We apply models including a state of the art kernel density estimation technique and ranking based on venue popularity. For each model, we consider two settings where visitor type information is absent/present. For long-term visitors, we observed little differences in accuracies. However, for short-term visitors, predictions are significantly more accurate by using type information. These findings suggest that venue prediction or recommender systems should consider visitor type to improve accuracy.
Starting Page	173
Ending Page	184
Page Count	12
File Format	PDF
ISBN	9781450339513
DOI	10.1145/2817946.2817958
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-11-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Short-term Long-term Visitors Check-in Foursquare
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Towards understanding residential privacy by analyzing users' activities in foursquare

Performing a check-in: emerging practices, norms and 'conflicts' in location-sharing using foursquare

Check-ins in “Blau Space”: Applying Blau’s Macrosociological Theory to Foursquare Check-ins from New York City

Empirical Observation of User Activities: Check-ins, Venue Photos and Tips in Foursquare

Cohesion and community: the effects of space, place and time on foursquare check-ins in New York City

Recommending interesting events in real-time with foursquare check-ins

Activity duration analysis for context-aware services using foursquare check-ins

Not All Non-Discrimination Policies are Created Equal: Analyzing Public Universities

Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns

Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors

Similar Documents

Towards understanding residential privacy by analyzing users' activities in foursquare

Performing a check-in: emerging practices, norms and 'conflicts' in location-sharing using foursquare

Check-ins in “Blau Space”: Applying Blau’s Macrosociological Theory to Foursquare Check-ins from New York City

Empirical Observation of User Activities: Check-ins, Venue Photos and Tips in Foursquare

Cohesion and community: the effects of space, place and time on foursquare check-ins in New York City

Recommending interesting events in real-time with foursquare check-ins

Activity duration analysis for context-aware services using foursquare check-ins

Not All Non-Discrimination Policies are Created Equal: Analyzing Public Universities

Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns

Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors