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Articles 1 - 22 of 22
Full-Text Articles in Social and Behavioral Sciences
Social Engagement, Social Networks, And Well-Being Of Older Adults By Gender And Marital Status, Rachel Wen Yi Ngu, Yi Wen Tan, Yan Er Tan, Wei Tin Hiah
Social Engagement, Social Networks, And Well-Being Of Older Adults By Gender And Marital Status, Rachel Wen Yi Ngu, Yi Wen Tan, Yan Er Tan, Wei Tin Hiah
ROSA Research Briefs
In this research brief, we explore the differences in well-being, social engagement, and social networks amongst groups of married and unmarried male and female older adults and discuss potential policy implications. Our study found that single older adult men fared significantly worse than their married counterparts and single older adult women across different aspects of social well-being, such as social engagement and social support. While this emphasizes the need for increased community efforts to engage men, especially single men, in social activities, specific outreach efforts may be required to better understand their needs and how community programmes can address them.
Theorizing Gender In Social Network Research: What We Do And What We Can Do Differently, Raina Brands, Gokhan Ertug, Fabio Fonti, Stefano Tasselli
Theorizing Gender In Social Network Research: What We Do And What We Can Do Differently, Raina Brands, Gokhan Ertug, Fabio Fonti, Stefano Tasselli
Research Collection Lee Kong Chian School Of Business
We review the ways in which gender is theorized in social network research and propose an alternative approach for future research to consider. To assess “what we do,” we undertake an evaluative review. In that review, we first examine how gender is typically theorized in structural approaches to social network research. Then, in greater detail, we review social network research that affords more diversity into such theorizing. We organize this more detailed review around a framework that is based on the level of analysis at which the implications of gender are invoked (cognitive, behavioral) and the focus of relational mechanisms …
Farmers In Singapore? Collective Action Under Adverse Circumstances, Yu Fong Ho, John A. Donaldson
Farmers In Singapore? Collective Action Under Adverse Circumstances, Yu Fong Ho, John A. Donaldson
Research Collection School of Social Sciences
How can individuals with contrasting interests in a declining industry, at odds with the country’s identity, and facing an illiberal and sceptical government, band together to promote collective goals? This article addresses this question by examining Singapore’s Kranji Countryside Association, one of Singapore’s few civil society organisations to focus on community organising. To Association members, the material and time costs of organising were high, the odds of success were low and the material rewards of success were modest. The article evaluates two views that purport to explain collective action: the rational choice approach that focuses on selective incentives and the …
What Is Gab: A Bastion Of Free Speech Or An Alt-Right Echo Chamber, Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Haewoon Kwak, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn
What Is Gab: A Bastion Of Free Speech Or An Alt-Right Echo Chamber, Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Haewoon Kwak, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn
Research Collection School Of Computing and Information Systems
Over the past few years, a number of new "fringe" communities, like 4chan or certain subreddits, have gained traction on the Web at a rapid pace. However, more often than not, little is known about how they evolve or what kind of activities they attract, despite recent research has shown that they influence how false information reaches mainstream communities. This motivates the need to monitor these communities and analyze their impact on the Web's information ecosystem. In August 2016, a new social network called Gab was created as an alternative to Twitter. It positions itself as putting "people and free …
A Member Saved Is A Member Earned? The Recruitment-Retention Trade-Off And Organizational Strategies For Membership Growth, Yongren Shi, Fedor A. Dokshin, Michael Genkin, Matthew E. Brashears
A Member Saved Is A Member Earned? The Recruitment-Retention Trade-Off And Organizational Strategies For Membership Growth, Yongren Shi, Fedor A. Dokshin, Michael Genkin, Matthew E. Brashears
Research Collection School of Social Sciences
A long line of research documents the essential role of social networks in mediating the recruitment and retention of members in organizations. But organizations also comprise a primary context where people form social ties. We investigate how the network structure an organization creates among its members influences its ability to grow and reproduce. In particular, we propose that two dimensions of organizational strategy influence affiliation dynamics: (1) the extent to which an organization induces social interaction among its members (social encapsulation), and (2) the time and energy that an organization demands of its members (time and energy demand). We examine …
Avoidance In Negative Ties: Inhibiting Closure, Reciprocity, And Homophily, Nicholas Harrigan, Janice Yap
Avoidance In Negative Ties: Inhibiting Closure, Reciprocity, And Homophily, Nicholas Harrigan, Janice Yap
Research Collection School of Social Sciences
Theorising of negative ties has focused on simplex negative tie networks or multiplex signed tie networks. We examine the fundamental differences between positive and negative tie networks measured on the same set of actors. We test six mechanisms of tie formation on face-to-face positive (affect/esteem) and negative (dislike/disesteem) networks of 282 university students. While popularity, activity, and entrainment are present in both networks, closure, reciprocity, and homophily are largely absent from negative tie networks. We argue this arises because avoidance is inherent to negative sentiments. Avoidance reduces information transfer through negative ties and short-circuits cumulative causation. (C) 2016 Elsevier B.V. …
Multi-Roles Affiliation Model For General User Profiling, Lizi Liao, Heyan Huang, Yashen Wang
Multi-Roles Affiliation Model For General User Profiling, Lizi Liao, Heyan Huang, Yashen Wang
Research Collection School Of Computing and Information Systems
Online social networks release user attributes, which is important for many applications. Due to the sparsity of such user attributes online, many works focus on profiling user attributes automatically. However, in order to profile a specific user attribute, an unique model is built and such model usually does not fit other profiling tasks. In our work, we design a novel, flexible general user profiling model which naturally models users’ friendships with user attributes. Experiments show that our method simultaneously profile multiple attributes with better performance.
Political Connections And Firm Value: Evidence From The Regression Discontinuity Design Of Close Gubernatorial Elections, Quoc-Anh Do, Yen Teik Lee, Bang D. Nguyen
Political Connections And Firm Value: Evidence From The Regression Discontinuity Design Of Close Gubernatorial Elections, Quoc-Anh Do, Yen Teik Lee, Bang D. Nguyen
Research Collection Lee Kong Chian School Of Business
Using the regression discontinuity design of close gubernatorial elections in the U.S., we identify a significant and positive impact of the social networks of corporate directors and politicians on firm value. Firms connected to elected governors increase their value by 3.89%. Political connections are more valuable for firms connected to winning challengers, for smaller and financially dependent firms, in more corrupt states, in states of connected firms’ headquarters and operations, and in closer, smaller, and active networks. Post-election, firms connected to the winner receive significantly more state procurement contracts and invest more than do firms connected to the loser.
Community Discovery From Social Media By Low-Rank Matrix Recovery, Jinfeng Zhuang, Mei Tao, Steven C. H. Hoi, Xian-Sheng Hua, Yongdong Zhang
Community Discovery From Social Media By Low-Rank Matrix Recovery, Jinfeng Zhuang, Mei Tao, Steven C. H. Hoi, Xian-Sheng Hua, Yongdong Zhang
Research Collection School Of Computing and Information Systems
The pervasive usage and reach of social media have attracted a surge of attention in the multimedia research community. Community discovery from social media has therefore become an important yet challenging issue. However, due to the subjective generating process, the explicitly observed communities (e.g., group-user and user-user relationship) are often noisy and incomplete in nature. This paper presents a novel approach to discovering communities from social media, including the group membership and user friend structure, by exploring a low-rank matrix recovery technique. In particular, we take Flickr as one exemplary social media platform. We first model the observed indicator matrix …
On Predicting Religion Labels In Microblogging Networks, Minh Thap Nguyen, Ee Peng Lim
On Predicting Religion Labels In Microblogging Networks, Minh Thap Nguyen, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Religious belief plays an important role in how people behave, influencing how they form preferences, interpret events around them, and develop relationships with others. Traditionally, the religion labels of user population are obtained by conducting a large scale census study. Such an approach is both high cost and time consuming. In this paper, we study the problem of predicting users' religion labels using their microblogging data. We formulate religion label prediction as a classification task, and identify content, structure and aggregate features considering their self and social variants for representing a user. We introduce the notion of representative user to …
Finding The Optimal Social Trust Path For The Selection Of Trustworthy Service Providers In Complex Social Networks, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Ee Peng Lim
Finding The Optimal Social Trust Path For The Selection Of Trustworthy Service Providers In Complex Social Networks, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Online social networks have provided the infrastructure for a number of emerging applications in recent years, e.g., for the recommendation of service providers or the recommendation of files as services. In these applications, trust is one of the most important factors in decision making by a service consumer, requiring the evaluation of the trustworthiness of a service provider along the social trust paths from a service consumer to the service provider. However, there are usually many social trust paths between two participants who are unknown to one another. In addition, some social information, such as social relationships between participants and …
Differential Impact Of Directors’ Social And Financial Capital On Corporate Interlock Formation, Nicholas Harrigan, Matthew Bond
Differential Impact Of Directors’ Social And Financial Capital On Corporate Interlock Formation, Nicholas Harrigan, Matthew Bond
Research Collection School of Social Sciences
Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.
Modeling Social Strength In Social Media Community Via Kernel-Based Learning, Jinfeng Zhuang, Tao Mei, Steven C. H. Hoi, Xian-Sheng Hua, Shipeng Li
Modeling Social Strength In Social Media Community Via Kernel-Based Learning, Jinfeng Zhuang, Tao Mei, Steven C. H. Hoi, Xian-Sheng Hua, Shipeng Li
Research Collection School Of Computing and Information Systems
Modeling continuous social strength rather than conventional binary social ties in the social network can lead to a more precise and informative description of social relationship among people. In this paper, we study the problem of social strength modeling (SSM) for the users in a social media community, who are typically associated with diverse form of data. In particular, we take Flickr---the most popular online photo sharing community---as an example, in which users are sharing their experiences through substantial amounts of multimodal contents (e.g., photos, tags, geo-locations, friend lists) and social behaviors (e.g., commenting and joining interest groups). Such heterogeneous …
Context-Aware Nearest Neighbor Query On Social Networks, Yazhe Wang, Baihua Zheng
Context-Aware Nearest Neighbor Query On Social Networks, Yazhe Wang, Baihua Zheng
Research Collection School Of Computing and Information Systems
Social networking has grown rapidly over the last few years, and social networks contain a huge amount of content. However, it can be not easy to navigate the social networks to find specific information. In this paper, we define a new type of queries, namely context-aware nearest neighbor (CANN) search over social network to retrieve the nearest node to the query node that matches the context specified. CANN considers both the structure of the social network, and the profile information of the nodes. We design ahyper-graph based index structure to support approximated CANN search efficiently.
Mining Interesting Link Formation Rules In Social Networks, Cane Wing-Ki Leung, Ee Peng Lim, David Lo, Jianshu Weng
Mining Interesting Link Formation Rules In Social Networks, Cane Wing-Ki Leung, Ee Peng Lim, David Lo, Jianshu Weng
Research Collection School Of Computing and Information Systems
Link structures are important patterns one looks out for when modeling and analyzing social networks. In this paper, we propose the task of mining interesting Link Formation rules (LF-rules) containing link structures known as Link Formation patterns (LF-patterns). LF-patterns capture various dyadic and/or triadic structures among groups of nodes, while LF-rules capture the formation of a new link from a focal node to another node as a postcondition of existing connections between the two nodes. We devise a novel LF-rule mining algorithm, known as LFR-Miner, based on frequent subgraph mining for our task. In addition to using a support-confidence framework …
A Social Network Based Study Of Software Team Dynamics, Subhajit Datta, Vikrant S. Kaulgoud, Vibhu Saujanya Sharma, Nishant Kumar
A Social Network Based Study Of Software Team Dynamics, Subhajit Datta, Vikrant S. Kaulgoud, Vibhu Saujanya Sharma, Nishant Kumar
Research Collection School Of Computing and Information Systems
Members of software project teams have specific roles and responsibilities which are formally defined during project inception or at the start of a life cycle activity. Often, the team structure undergoes spontaneous changes as delivery deadlines draw near and critical tasks have to be completed. Some members -- depending on their skill or seniority -- need to take on more responsibilities, while others end up being peripheral to the project's execution. We posit that this kind of ad hoc reorganization of a team's structure can be discerned from the project's bug tracker. In this paper, we extract a social network …
Directed Altruism And Enforced Reciprocity In Social Networks, Stephen Leider, Markus M. Mobius, Tanya Rosenblat, Quoc-Anh Do
Directed Altruism And Enforced Reciprocity In Social Networks, Stephen Leider, Markus M. Mobius, Tanya Rosenblat, Quoc-Anh Do
Research Collection School Of Economics
We conducted online field experiments in large real-world social networks in order to decompose prosocial giving into three components: (1) baseline altruism toward randomly selected strangers, (2) directed altruism that favors friends over random strangers, and (3) giving motivated by the prospect of future interaction. Directed altruism increases giving to friends by 52% relative to random strangers, whereas future interaction effects increase giving by an additional 24% when giving is socially efficient. This finding suggests that future interaction affects giving through a repeated game mechanism where agents can be rewarded for granting efficiency-enhancing favors. We also find that subjects with …
What Do We Expect From Our Friends?, Stephen Leider, Markus M. Mobius, Tanya S. Rosenblat, Quoc-Anh Do
What Do We Expect From Our Friends?, Stephen Leider, Markus M. Mobius, Tanya S. Rosenblat, Quoc-Anh Do
Research Collection School Of Economics
We conduct a field experiment in a large real-world social network to examine how subjects expect to be treated by their friends and by strangers who make allocation decisions in modified dictator games. Although recipients’ beliefs accurately account for the extent to which friends will choose more generous allocations than strangers (i.e., directed altruism), recipients are not able to anticipate individual differences in the baseline altruism of allocators (measured by giving to an unnamed recipient, which is predictive of generosity toward named recipients). Recipients who are direct friends with the allocator, or even recipients with many common friends, are no …
Directed Altruism And Enforced Reciprocity In Social Networks, Stephen Leider, Markus M. Mobius, Tanya S. Rosenblat, Quoc-Anh Do
Directed Altruism And Enforced Reciprocity In Social Networks, Stephen Leider, Markus M. Mobius, Tanya S. Rosenblat, Quoc-Anh Do
Research Collection School Of Economics
We conducted online field experiments in large real-world social networks in order to decompose prosocial giving into three components: (1) baseline altruism toward randomly selected strangers, (2) directed altruism that favors friends over random strangers, and (3) giving motivated by the prospect of future interaction. Directed altruism increases giving to friends by 52% relative to random strangers, whereas future interaction effects increase giving by an additional 24% when giving is socially efficient. This finding suggests that future interaction affects giving through a repeated game mechanism where agents can be rewarded for granting efficiency-enhancing favors. We also find that subjects with …
The Sociality Of Cultural Industries: Hong Kong's Cultural Policy And Film Industry, Lily Kong
The Sociality Of Cultural Industries: Hong Kong's Cultural Policy And Film Industry, Lily Kong
Research Collection School of Social Sciences
In this article, I explore the sociality of cultural industries by analyzing the film industry in Hong Kong. In particular, the social networks and relationships at multiple scales – across national boundaries, within local settings and on production sets – are examined, revealing their critical role in contributing to the health of the film industry. The risks faced at various steps of the production, marketing and distribution process are ameliorated by trust relations, built up through time between social actors in spontaneous ways. While Hong Kong cultural policy in part seeks to create the social and spatial contexts within which …
Dynamics Of Trust In Guanxi Networks, Roy Y. J. Chua, Michael W. Morris
Dynamics Of Trust In Guanxi Networks, Roy Y. J. Chua, Michael W. Morris
Research Collection Lee Kong Chian School Of Business
Interpersonal trust is an important element of Chinese guanxi network. In this chapter, we examine Chinese guanxi network from a trust perspective. We adopt the distinction that trust could be built on either a socio-emotional basis (affect-based trust) or an instrumental basis (cognition-based trust) and use this lens to examine cultural differences in Chinese and Western social networks. Specifically, we will discuss (a) how the two dimensions of trust are related in the Chinese versus American context, and (b) how affect-based trust is associated with different forms of social exchange in Chinese versus American social networks. Because dyadic relationships are …
Dynamical Evolutionary Psychology: Individual Decision Rules And Emergent Social Norms, Douglas T. Kenrick, Norman P. Li, Jonathan Butner
Dynamical Evolutionary Psychology: Individual Decision Rules And Emergent Social Norms, Douglas T. Kenrick, Norman P. Li, Jonathan Butner
Research Collection School of Social Sciences
A new theory integrating evolutionary and dynamical approaches is proposed. Following evolutionary models, psychological mechanisms are conceived as conditional decision rules designed to address fundamental problems confronted by human ancestors, with qualitatively different decision rules serving different problem domains and individual differences in decision rules as a function of adaptive and random variation. Following dynamical models, decision mechanisms within individuals are assumed to unfold in dynamic interplay with decision mechanisms of others in social networks. Decision mechanisms in different domains have different dynamic outcomes and lead to different sociospatial geometries. Three series of simulations examining trade-offs in cooperation and mating …