The Role of Urban Mobility in Retail Business Survival.

Economic and urban planning agencies have strong interest in tackling the hard problem of predicting the odds of survival of individual retail businesses. In this work, we tap urban mobility data available both from a location-based intelligence platform, Foursquare, and from public transportation agencies, and investigate whether mobility-derived features can help foretell the failure of such retail businesses, over a 6 month horizon, across 10 distinct cities spanning the globe. We hypothesise that the survival of such a retail outlet is correlated with not only venue-specific characteristics but also broader neighbourhood-level effects. Through careful statistical analysis of Foursquare and taxi mobility data, we uncover a set of discriminative features, belonging to the neighbourhood’s static characteristics, the venue-specific customer visit dynamics, and the neighbourhood’s mobility dynamics. We demonstrate that classifiers trained on such features can predict such survival with high accuracy, achieving approximately 80% precision and recall across the cities. We also show that the impact of such features varies across new and established venues and across different cities. Besides achieving a significant improvement over past work on business vitality prediction, our work demonstrates the vital role that mobility dynamics plays in the economic evolution of a city

Characterizing popularity dynamics of online videos

Online popularity has a major impact on videos, music, news and other contexts in online systems. Characterizing online popularity dynamics is nature to explain the observed properties in terms of the already acquired popularity of each individual. In this paper, we provide a quantitative, large scale, temporal analysis of the popularity dynamics in two online video-provided websites, namely MovieLens and Netflix. The two collected data sets contain over 100 million records and even span a decade. We characterize that the popularity dynamics of online videos evolve over time, and find that the dynamics of the online video popularity can be characterized by the burst behaviors, typically occurring in the early life span of a video, and later restricting to the classic preferential popularity increase mechanism

Helping business leverage web 2.0 to generate social capital

Businesses large and small are keen to leverage Web 2.0 applications to interact with customers, suppliers and other stakeholders. Whilst some have achieved success, others are still struggling to understand the opportunities and threats associated with using Web 2.0 in business. This paper discusses the development of a conceptual framework to help businesses understand how they could leverage Web 2.0 applications to generate social capital. The proposed framework helps businesses (i) identify opportunities to leverage the strengths and features of various Web 2.0 applications, and (ii) develop business strategies for Web 2.0. As a positional paper, it contributes to theory by proposing a systematic and structured approach for understanding how social capital is created, captured, distributed, and consumed online.<br /

Helping Businesses Leverage Web 2.0 to Generate Social Capital

Businesses large and small are keen to leverage Web 2.0 applications to interact with customers, suppliers and other stakeholders. Whilst some have achieved success, others are still struggling to understand the opportunities and threats associated with using Web 2.0 in business. This paper discusses the development of a conceptual framework to help businesses understand how they could leverage Web 2.0 applications to generate social capital. The proposed framework helps businesses (i) identify opportunities to leverage the strengths and features of various Web 2.0 applications, and (ii) develop business strategies for Web 2.0. As a positional paper, it contributes to theory by proposing a systematic and structured approach for understanding how social capital is created, captured, distributed, and consumed online

Digital social interactions in the city: reflecting on location-based social media

In this paper we discuss how digital interactions are increasingly interwoven with spaces and places in urban settings and how such interactions are mediated by and in turn shape the technologies that facilitate them. We will focus on the understanding of interactions using location based social media (particularly Foursquare) as a way to reflect on issues of technological support to human activities, and on the relationship between code, digital agency and the physical world

Harnessing the power of the general public for crowdsourced business intelligence: a survey

International audienceCrowdsourced business intelligence (CrowdBI), which leverages the crowdsourced user-generated data to extract useful knowledge about business and create marketing intelligence to excel in the business environment, has become a surging research topic in recent years. Compared with the traditional business intelligence that is based on the firm-owned data and survey data, CrowdBI faces numerous unique issues, such as customer behavior analysis, brand tracking, and product improvement, demand forecasting and trend analysis, competitive intelligence, business popularity analysis and site recommendation, and urban commercial analysis. This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI. It also investigates novel application areas as well as the key challenges and techniques of CrowdBI. Furthermore, we make discussions about the future research directions of CrowdBI