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Twitter : a digital socioscope
How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science.
Book
Where Do Creative Interactions Come From? The Role of Tie Content and Social Networks
Understanding the determinants of creativity at the individual and organizational level has been the focus of a long history of research in various disciplines from the social sciences, but little attention has been devoted to studying creativity at the dyadic level.
Why are some dyadic interactions more likely than others to trigger the generation of novel and useful ideas in organizations?
As dyads conduit both knowledge and social forces, they offer an ideal setting to disentangle the effects of knowledge diversity, tie strength, and network structure on the generation of creative thoughts. This paper not only challenges the current belief that sporadic and distant dyadic relationships (weak ties) foster individual creativity but also argues that diverse and strong ties facilitate the generation of creative ideas. From a knowledge viewpoint, our results suggest that ties that transmit a wide (rather than narrow) set of knowledge domains (within the same tie) favor creative idea generation if exchanges occur with sufficient frequency. From a social perspective, we find that strong ties serve as effective catalysts for the generation of creative ideas when they link actors who are intrinsically motivated to work closely together. Finally, this paper also shows that dyadic network cohesion (i.e., the connections from the focal dyad to common contacts) does not always hinder the generation of creative ideas. Our empirical evidence suggests that when cohesion exceeds its average levels, it becomes detrimental to creative idea generation. Hypotheses are tested in a sociometric study conducted within the development department of a software firm.
Journal Article
Dyadic-probabilistic methods in bilinear analysis
We demonstrate and develop dyadic–probabilistic methods in connection with non-homogeneous bilinear operators, namely singular
integrals and square functions. We develop the full non-homogeneous theory of bilinear singular integrals using a modern point of view.
The main result is a new global
While proving our bilinear results we also advance and
refine the linear theory of Calderón–Zygmund operators by improving techniques and results. For example, we simplify and make more
efficient some non-homogeneous summing arguments appearing in
eBook
Dyadic Sexual Desire in Romantic Relationships: The Dyadic Interactions Affecting Dyadic Sexual Desire Model
In most theoretical models, sexual desire for one’s partner is predominantly conceptualized from an individual perspective. There is, however, a growing body of empirical evidence on the dyadic aspects of sexual desire. That evidence is as yet not well-integrated into theoretical conceptualizations of sexual desire. Aiming to fill this gap, we present the Dyadic Interactions Affecting DyadIC Sexual desire model (DIADICS), a new conceptual model inspired by systems theory that describes how dyadic interactions between partners influence dyadic sexual desire in romantic relationships. After defining dyadic sexual desire, we discuss (1) the structure of dyadic interactions, (2) their content, and (3) the process through which they affect dyadic sexual desire in a romantic relationship. Thereafter, we review theoretical, clinical, and empirical insights underscoring the relation between dyadic interactions and (dyadic) sexual desire, use DIADICS as a framework for understanding fluctuations in dyadic sexual desire in long-term relationships, and conclude by discussing implications of DIADICS for research and clinical practice.
Journal Article
It Takes Two: A Dyadic Analysis of Civil War Duration and Outcome
Theories of conflict emphasize dyadic interaction, yet existing empirical studies of civil war focus largely on state attributes and pay little attention to nonstate antagonists. We recast civil war in a dyadic perspective, and consider how nonstate actor attributes and their relationship to the state influence conflict dynamics. We argue that strong rebels, who pose a military challenge to the government, are likely to lead to short wars and concessions. Conflicts where rebels seem weak can become prolonged if rebels can operate in the periphery so as to defy a government victory yet are not strong enough to extract concessions. Conflicts should be shorter when potential insurgents can rely on alternative political means to violence. We examine these hypotheses in a dyadic analysis of civil war duration and outcomes, using new data on nonstate actors and conflict attributes, finding support for many of our conjectures.
Journal Article
Coming to Terms: Quantifying the Benefits of Linguistic Coordination
Sharing a public language facilitates particularly efficient forms of joint perception and action by giving interlocutors refined tools for directing attention and aligning conceptual models and action. We hypothesized that interlocutors who flexibly align their linguistic practices and converge on a shared language will improve their cooperative performance on joint tasks. To test this prediction, we employed a novel experimental design, in which pairs of participants cooperated linguistically to solve a perceptual task. We found that dyad members generally showed a high propensity to adapt to each other's linguistic practices. However, although general linguistic alignment did not have a positive effect on performance, the alignment of particular task-relevant vocabularies strongly correlated with collective performance. In other words, the more dyad members selectively aligned linguistic tools fit for the task, the better they performed. Our work thus uncovers the interplay between social dynamics and sensitivity to task affordances in successful cooperation.
Journal Article
Critical reflections on care and dyadic relationships in a toddler group
Authors explore role and status of care in a toddler classroom and ways dyadic relationships between children and their educator mirror care processes. Specifically, they investigated the care, and the characteristics of the dyadic relationships established by the educators with the children, with the aim to understand the values of care being played out in the practices that sustained them and their role in the development of the children's emancipation, here understood as the process of growing in autonomy and power over their lives. The case study was conducted in a class of children aged two to three years old. Class was part of a nursery school located in the Greek municipality of Ioannina. Data was collected through non-participant observation, using field notes. Results have revealed that care experiences offered by early childhood educators to toddlers represent important contexts for children´s early affective and autonomy development. Educators become a figure of subsidiary secure attachment, particularly during stressful situations and these care experiences. The dyads established between the child and the educator in care situations strengthen safe attachments if the adult respects the children´s bodies, rhythms, necessities, and interests. These safe relationships benefit all children, including those who experience social problems at home. Children could develop negative expectations and fear about interpersonal relationships and conflictive behaviors of all kinds if established relationships with them are hostile. Results indicate that secure attachments are formed only when educators empower children. In that sense, results highlight that education and care are strongly interrelated.
Journal Article
Discretion Within Constraint: Homophily and Structure in a Formal Organization
Homophily in social relations results from both individual preferences and selective opportunities for interaction, but how these two mechanisms interact in large, contemporary organizations is not well understood. We argue that organizational structures and geography delimit opportunities for interaction such that actors have a greater level of discretion to choose their interaction partners within business units, job functions, offices, and quasi-formal structures. This leads us to expect to find a higher proportion of homophilous interactions within these organizational structures than across their boundaries. We test our theory in an analysis of the rate of dyadic communication in an email data set comprising thousands of employees in a large information technology firm. These findings have implications for research on homophily, gender relations in organizations, and formal and informal organizational structure.
Journal Article
Inferring friendship network structure by using mobile phone data
Data collected from mobile phones have the potential to provide insight into the relational dynamics of individuals. This paper compares observational data from mobile phones with standard self-report survey data. We find that the information from these two data sources is overlapping but distinct. For example, self-reports of physical proximity deviate from mobile phone records depending on the recency and salience of the interactions. We also demonstrate that it is possible to accurately infer 95% of friendships based on the observational data alone, where friend dyads demonstrate distinctive temporal and spatial patterns in their physical proximity and calling patterns. These behavioral patterns, in turn, allow the prediction of individual-level outcomes such as job satisfaction.
Journal Article
The Group Dynamics of Interorganizational Relationships: Collaborating with Multiple Partners in Innovation Ecosystems
This paper examines how organizations collaborate with multiple partners, such as when they develop innovative and complex product platforms like smartphones, servers, and MRI machines that rely on technologies developed by organizations in three or more sectors. Research on multipartner alliances often treats them as a collection of independent dyads, neglecting the possibility of third-party influence and interference in dyads that can inhibit innovation. Using a multiple-case, inductive study of six groups, each composed of three organizations engaged in technology and product development in the computer industry, I examine the collaborative forms and processes that organizations use to innovate with multiple partners in groups. Groups that used the collaborative forms of independent parallel dyads or single unified triads generated mistrust and conflict that stemmed from expectations about third-party participation and overlapping roles and thus had low innovation performance and weaker ties. Other groups avoided these problems by using a dynamic collaboration process that I call \"group cycling,\" in which managers viewed their triad as a small group, decomposed innovative activities into a series of interlinked dyads between different pairs of partners, and managed third-party interests across time. By temporarily restricting participation to pairs, managers chose which ideas, technologies, and resources to incorporate from third parties into single dyads and ensured that the outputs of multiple dyads were combined into a broader innovative whole.
Journal Article