Citing for High Impact

The question of citation behavior has always intrigued scientists from various disciplines. While general citation patterns have been widely studied in the literature we develop the notion of citation projection graphs by investigating the citations among the publications that a given paper cites. We investigate how patterns of citations vary between various scientific disciplines and how such patterns reflect the scientific impact of the paper. We find that idiosyncratic citation patterns are characteristic for low impact papers; while narrow, discipline-focused citation patterns are common for medium impact papers. Our results show that crossing-community, or bridging citation patters are high risk and high reward since such patterns are characteristic for both low and high impact papers. Last, we observe that recently citation networks are trending toward more bridging and interdisciplinary forms.Comment: 10 pages, 6 figures, 1 tabl

Hierarchical Models for Relational Event Sequences

Interaction within small groups can often be represented as a sequence of events, where each event involves a sender and a recipient. Recent methods for modeling network data in continuous time model the rate at which individuals interact conditioned on the previous history of events as well as actor covariates. We present a hierarchical extension for modeling multiple such sequences, facilitating inferences about event-level dynamics and their variation across sequences. The hierarchical approach allows one to share information across sequences in a principled manner---we illustrate the efficacy of such sharing through a set of prediction experiments. After discussing methods for adequacy checking and model selection for this class of models, the method is illustrated with an analysis of high school classroom dynamics

The risk and the course of cancer among people with Severe Mental Illness

The paucity of data regarding patients with Serious Mental Illness (SMI) and cancer is alarming given the fact that people with SMI, especially schizophrenia, bipolar disorders and severe depressive disorders, have in general poorer access to physical health care and higher morbidity and mortality because of physical illnesses. The aims of this review were to examine the current evidence from existing literature on the risk of developing cancer and its course among people with SMI. Equivocal results emerge regarding the risk of developing some kind of cancer among people with SMI, with contrasting data on a possible higher, similar or lower risk in comparison with the general population. In contrast, a series of studies have pointed out that patients with SMI who develop cancer are less likely to receive standard levels of cancer care, both in terms of screening, diagnosis and treatment. Also, the mortality for cancer has been confirmed to be higher than the general population. A global sensitization about these problems is mandatory in an era in which community psychiatry has been developed in all countries and that policies of prevention, treatment, follow up, and palliative care should regard all the segments of the population, including people with SMI, through an interdisciplinary approach

Clinical Implications of Cancer Related Inflammation and Depression: A Critical Review

Neuropsychiatric symptoms are problematic in cancer settings. In addition to poor quality of life, depression is associated with worsened survival. Patients who develop depression that responds to treatment have the same cancer-related survival as those patients who never had depression. Although depression in patients with cancer is common, it is often unrecognized, untreated, or at best, undertreated. There remains untapped potential for underlying cancer-related biology associated with depression to help clinicians correctly identify depressed cancer patients and orchestrate appropriate treatments to address cancer-related depression. Biologically, inflammation has been most vigorously described in its association with depression in otherwise healthy patients and to a significant extent in patients with medical illness. This association is especially relevant to patients with cancer since so many aspects of cancer induce inflammation. In addition to cancer itself, its treatments (e.g., surgery, radiation, chemotherapy, and systemic therapies) and associated factors (e.g., smoking, obesity, aging) are all associated with increased inflammation that can drive immunological changes in the brain followed by depression. This critical review investigates the relationship between depression and cancer-related inflammation. It investigates several hypotheses that support these relationships in cancer patients. Special attention is given to the data that support certain inflammatory markers specific to both cancer and depression, the neurobiological mechanisms by which inflammation can impact neurotransmitters and neurocircuits in the brain, and the data addressing interventions that reduce inflammation and depression in cancer patients, and future directions

Network ecology: Tie fitness in social context(s)

Social relations are embedded in material, cultural, and institutional settings that affect network dynamics and the resulting topologies. For example, romantic entanglements are subject to social and cultural norms, interfirm alliances are constrained by country-specific legislation, and adolescent friendships are conditioned by classroom settings and neighborhood effects. In short, social contexts shape social relations and the networks they give rise to. However, how and when they do so remain to be established. This paper presents network ecology as a general framework for identifying how the proximal environment shapes social networks by focusing interactions and social relations, and how these interactions and relations in turn shape the environment in which social networks form. Tie fitness is introduced as a metric that quantifies how well particular dyadic social relations would align with the setting. Using longitudinal networks collected on two cohorts each in 18 North American schools, i.e., 36 settings, we develop five generalizable observations about the time-varying fitness of adolescent friendship. Across all 252 analyzed networks, tie fitness predicted new tie formation, tie longevity, and tie survival. Dormant fit ties cluster in relational niches, thereby establishing a resource base for social identities competing for increased representation in the relational system

A Bayesian actor-oriented multilevel relational event model with hypothesis testing procedures

Relational event network data are becoming increasingly available. Consequently, statistical models for such data have also surfaced. These models mainly focus on the analysis of single networks; while in many applications, multiple independent event sequences are observed, which are likely to display similar social interaction dynamics. Furthermore, statistical methods for testing hypotheses about social interaction behavior are underdeveloped. Therefore, the contribution of the current paper is twofold. First, we present a multilevel extension of the dynamic actor-oriented model, which allows researchers to model sender and receiver processes separately. The multilevel formulation enables principled probabilistic borrowing of information across networks to accurately estimate drivers of social dynamics. Second, a flexible methodology is proposed to test hypotheses about common and heterogeneous social interaction drivers across relational event sequences. Social interaction data between children and teachers in classrooms are used to showcase the methodology.</p

Radiative corrections to inverse muon decay for accelerator neutrinos

Inverse muon decay ($\nu_\mu e^- \to \nu_e \mu^-$) is a promising tool to constrain neutrino fluxes with energies $E_{\nu} \ge 10.9~\mathrm{GeV}$. Radiative corrections introduce percent-level distortions to energy spectra of outgoing muons and depend on experimental details. In this paper, we generalize the calculation of radiative corrections in muon decay to the scattering processes $\nu_\mu e^- \to \nu_e \mu^-$ and $\bar{\nu}_e e^- \to \bar{\nu}_\mu \mu^-$. We evaluate virtual and real $\mathrm{O} \left( \alpha \right)$ contributions and present the muon energy spectrum for both channels, double-differential distributions in muon energy and muon scattering angle, in photon energy and photon scattering angle, and photon energy spectrum for the dominant $\nu_\mu e^- \to \nu_e \mu^-$ process. We discuss how radiative corrections modify experimentally interesting distributions.Comment: 21 pages, 8 figures, v2, structure changed, new cross sections adde