69,127 research outputs found

    Division of labor, skill complementarity, and heterophily in socioeconomic networks

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    Constituents of complex systems interact with each other and self-organize to form complex networks. Empirical results show that the link formation process of many real networks follows either the global principle of popularity or the local principle of similarity or a tradeoff between the two. In particular, it has been shown that in social networks individuals exhibit significant homophily when choosing their collaborators. We demonstrate, however, that in populations in which there is a division of labor, skill complementarity is an important factor in the formation of socioeconomic networks and an individual's choice of collaborators is strongly affected by heterophily. We analyze 124 evolving virtual worlds of a popular "massively multiplayer online role-playing game" (MMORPG) in which people belong to three different professions and are allowed to work and interact with each other in a somewhat realistic manner. We find evidence of heterophily in the formation of collaboration networks, where people prefer to forge social ties with people who have professions different from their own. We then construct an economic model to quantify the heterophily by assuming that individuals in socioeconomic systems choose collaborators that are of maximum utility. The results of model calibration confirm the presence of heterophily. Both empirical analysis and model calibration show that the heterophilous feature is persistent along the evolution of virtual worlds. We also find that the degree of complementarity in virtual societies is positively correlated with their economic output. Our work sheds new light on the scientific research utility of virtual worlds for studying human behaviors in complex socioeconomic systems.Comment: 14 Latex pages + 3 figure

    Individual position diversity in dependence socioeconomic networks increases economic output

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    The availability of big data recorded from massively multiplayer online role-playing games (MMORPGs) allows us to gain a deeper understanding of the potential connection between individuals' network positions and their economic outputs. We use a statistical filtering method to construct dependence networks from weighted friendship networks of individuals. We investigate the 30 distinct motif positions in the 13 directed triadic motifs which represent microscopic dependences among individuals. Based on the structural similarity of motif positions, we further classify individuals into different groups. The node position diversity of individuals is found to be positively correlated with their economic outputs. We also find that the economic outputs of leaf nodes are significantly lower than that of the other nodes in the same motif. Our findings shed light on understanding the influence of network structure on economic activities and outputs in socioeconomic system.Comment: 19 pages, 5 figure

    Predicting Anchor Links between Heterogeneous Social Networks

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    People usually get involved in multiple social networks to enjoy new services or to fulfill their needs. Many new social networks try to attract users of other existing networks to increase the number of their users. Once a user (called source user) of a social network (called source network) joins a new social network (called target network), a new inter-network link (called anchor link) is formed between the source and target networks. In this paper, we concentrated on predicting the formation of such anchor links between heterogeneous social networks. Unlike conventional link prediction problems in which the formation of a link between two existing users within a single network is predicted, in anchor link prediction, the target user is missing and will be added to the target network once the anchor link is created. To solve this problem, we use meta-paths as a powerful tool for utilizing heterogeneous information in both the source and target networks. To this end, we propose an effective general meta-path-based approach called Connector and Recursive Meta-Paths (CRMP). By using those two different categories of meta-paths, we model different aspects of social factors that may affect a source user to join the target network, resulting in the formation of a new anchor link. Extensive experiments on real-world heterogeneous social networks demonstrate the effectiveness of the proposed method against the recent methods.Comment: To be published in "Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

    Does Identity Precede Intimacy? Testing Erikson's Theory on Romantic Development in Emerging Adults of the 21st Century

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    Erikson stated that healthy identity development during adolescence is a precursor of intimacy in romantic relationships during emerging adulthood. However, from a developmental contextual perspective, there are reasons to question this strict developmental ordering. Using interview and questionnaire data from a longitudinal study on 93 adolescents, the authors tested whether ego development in middle adolescence predicts intimacy in emerging adulthood. Second, the authors examined whether identity achievement at the transition to adulthood mediates this link. Results revealed direct links between early ego development (age 15) and intimacy in romantic relationships (age 25). No paths were found from earlier intimacy to later ego development. No gender differences occurred. Relational identity achievement, an integrative identity construct measured at age 24, fully mediated the association between earlier ego development and later intimacy. This study confirms Erikson's old ideas on the developmental ordering of identity and intimacy for youngsters in the 21st century. Moreover, it highlights the integrative function of relational identity for later mature intimacy

    Pornography and Committed Relationships: How Pre-existing Factors within a Dyad Change the Effect of Pornography on Heterosexual and Homosexual Couples

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    Pornography and its effects have been the topic of debate for decades now. Much of the pornography debate centers on whether or not male pornography consumption is detrimental to men’s perception of, communication with, and treatment of women. As Charlotte Witt claims, “feminist debates over pornography originate in fundamental philosophical disagreement” (165). Many feminists and feminist groups critique pornography for its degradation of and violence towards women. Andrea Dworkin, a feminist against pornography, states that “the fact that pornography is widely believed to be ‘sexual representation’ or ‘depictions of sex’ emphasizes only that the valuation of women as low whores is widespread and that the sexuality of women is perceived as low and whorish in itself” (201). However, some couple therapists support pornography and prescribe its use to aid couples struggling with intimacy. It is primarily used as a way to bring the couple together through the intimacy created when viewing pornography together as well as to help the couple regain their sexual stimulation

    Organizational Chart Inference

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    Nowadays, to facilitate the communication and cooperation among employees, a new family of online social networks has been adopted in many companies, which are called the "enterprise social networks" (ESNs). ESNs can provide employees with various professional services to help them deal with daily work issues. Meanwhile, employees in companies are usually organized into different hierarchies according to the relative ranks of their positions. The company internal management structure can be outlined with the organizational chart visually, which is normally confidential to the public out of the privacy and security concerns. In this paper, we want to study the IOC (Inference of Organizational Chart) problem to identify company internal organizational chart based on the heterogeneous online ESN launched in it. IOC is very challenging to address as, to guarantee smooth operations, the internal organizational charts of companies need to meet certain structural requirements (about its depth and width). To solve the IOC problem, a novel unsupervised method Create (ChArT REcovEr) is proposed in this paper, which consists of 3 steps: (1) social stratification of ESN users into different social classes, (2) supervision link inference from managers to subordinates, and (3) consecutive social classes matching to prune the redundant supervision links. Extensive experiments conducted on real-world online ESN dataset demonstrate that Create can perform very well in addressing the IOC problem.Comment: 10 pages, 9 figures, 1 table. The paper is accepted by KDD 201

    Sex differences in the structure and stability of children’s playground social networks and their overlap with friendship relations

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    Gender segregated peer networks during middle childhood have been highlighted as important for explaining later sex differences in behaviour, yet few studies have examined the structural composition of these networks and their implications. This short-term longitudinal study of 119 children (7-8 years) examined the size and internal structure of boys' and girls' social networks, their overlap with friendship relations, and their stability over time. Data collection at the start and end of the year involved systematic playground observations of pupils' play networks during team and non-team activities and measures of friendship from peer nomination interviews. Social networks were identified by aggregating play network data at each time point. Findings showed that the size of boy's play networks on the playground, but not their social networks, varied according to activity type. Social network cores consisted mainly of friends. Girl's social networks were more likely to be composed of friends and boys' networks contained friends and non-friends. Girls had more friends outside of the social network than boys. Stability of social network membership and internal network relations were higher for boys than girls. These patterns have implications for the nature of social experiences within these network contexts

    An Analysis of College-aged Women’s Personal Relations

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    Current communication literature regarding personal relations is limited by its focus on romantic, friendship and friends with benefits relations. To better understand the types of relations college-aged women practice, this study sought to explore (a) the types of cross-sex relations college-aged women practice (b) the reasons they give for practicing the relations and (c) the identities they construct by practicing the relations. Results indicated a myriad of relational types. Types were categorized under three supra-categories and were explored in terms of their description, initiation, maintenance and communication rules, as well as their benefits and drawbacks. Identities associated with the relations were also examined, along with relational fluidity, commitment and intimacy
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