Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Location-based social networks (LBSNs) have become a popular form of social media in recent years. They provide location related services that allow users to “check-in” at geographical locations and share such experiences with their friends. Millions of “check-in” records in LBSNs contain rich information of social and geographical context and provide a unique opportunity for researchers to study user’s social behavior from a spatial-temporal aspect, which in turn enables a variety of services including place advertisement, traffic forecasting, and disaster relief. ,  propose a social-historical model to explore user’s check-in behavior on LBSNs. Our model integrates the social and historical effects and assesses the role of social correlation in user’s check-in behavior. In particular, our model captures the property of user’s check-in history in forms of por-law distribution and short-term effect, and helps in explaining user’s check-in behavior. The experimental results on a real world LBSN demonstrate that our approach properly models user’s checkins and shows how social and historical ties can help location prediction.
['Huiji Gao', 'Jiliang Tang', 'Huan Liu']
I am writing a research paper on a idea Exploring Social-Historical Ties on Location-Based Social Networks
[{"from": "human", "value": "I am writing a research paper on a idea Exploring Social-Historical Ties on Location-Based Social Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Location-based social networks (LBSNs) have become a popular form of social media in recent years. They provide location related services that allow users to \u201ccheck-in\u201d at geographical locations and share such experiences with their friends. Millions of \u201ccheck-in\u201d records in LBSNs contain rich information of social and geographical context and provide a unique opportunity for researchers to study user\u2019s social behavior from a spatial-temporal aspect, which in turn enables a variety of services including place advertisement, traffic forecasting, and disaster relief. ,  propose a social-historical model to explore user\u2019s check-in behavior on LBSNs. Our model integrates the social and historical effects and assesses the role of social correlation in user\u2019s check-in behavior. In particular, our model captures the property of user\u2019s check-in history in forms of por-law distribution and short-term effect, and helps in explaining user\u2019s check-in behavior. The experimental results on a real world LBSN demonstrate that our approach properly models user\u2019s checkins and shows how social and historical ties can help location prediction."}]