Semantic Stability in Social Tagging Streams

One potential disadvantage of social tagging systems is that due to the lack of a centralized vocabulary, a crowd of users may never manage to reach a consensus on the description of resources (e.g., books, users or songs) on the Web. Yet, previous research has provided interesting evidence that the tag distributions of resources may become semantically stable over time as more and more users tag them. At the same time, previous work has raised an array of new questions such as: (i) How can we assess the semantic stability of social tagging systems in a robust and methodical way? (ii) Does semantic stabilization of tags vary across different social tagging systems and ultimately, (iii) what are the factors that can explain semantic stabilization in such systems? In this work we tackle these questions by (i) presenting a novel and robust method which overcomes a number of limitations in existing methods, (ii) empirically investigating semantic stabilization processes in a wide range of social tagging systems with distinct domains and properties and (iii) detecting potential causes for semantic stabilization, specifically imitation behavior, shared background knowledge and intrinsic properties of natural language. Our results show that tagging streams which are generated by a combination of imitation dynamics and shared background knowledge exhibit faster and higher semantic stability than tagging streams which are generated via imitation dynamics or natural language streams alone

Of course we share! Testing Assumptions about Social Tagging Systems

Social tagging systems have established themselves as an important part in today's web and have attracted the interest from our research community in a variety of investigations. The overall vision of our community is that simply through interactions with the system, i.e., through tagging and sharing of resources, users would contribute to building useful semantic structures as well as resource indexes using uncontrolled vocabulary not only due to the easy-to-use mechanics. Henceforth, a variety of assumptions about social tagging systems have emerged, yet testing them has been difficult due to the absence of suitable data. In this work we thoroughly investigate three available assumptions - e.g., is a tagging system really social? - by examining live log data gathered from the real-world public social tagging system BibSonomy. Our empirical results indicate that while some of these assumptions hold to a certain extent, other assumptions need to be reflected and viewed in a very critical light. Our observations have implications for the design of future search and other algorithms to better reflect the actual user behavior

Are DBA/2 mice associated with schizophrenia-like endophenotypes? A behavioural contrast with C57BL/6 mice

Rationale: Due to its intrinsic deficiency in prepulse inhibition (PPI), the inbred DBA/2 mouse strain has been considered as an animal model for evaluating antipsychotic drugs. However, the PPI impairment observed in DBA/2 mice relative to the common C57BL/6 strain is confounded by a concomitant reduction in baseline startle reactivity. In this study, we examined the robustness of the PPI deficit when this confound is fully taken into account. Materials and methods: Male DBA/2 and C57BL/6 mice were compared in a PPI experiment using multiple pulse stimulus intensities, allowing the possible matching of startle reactivity prior to examination of PPI. The known PPI-enhancing effect of the antipsychotic, clozapine, was then evaluated in half of the animals, whilst the other half was subjected to two additional schizophrenia-relevant behavioural tests: latent inhibition (LI) and locomotor reaction to the psychostimulants—amphetamine and phencyclidine. Results: PPI deficiency in DBA/2 relative to C57BL/6 mice was essentially independent of the strain difference in baseline startle reactivity. Yet, there was no evidence that DBA/2 mice were superior in detecting the PPI-facilitating effect of clozapine when startle difference was balanced. Compared with C57BL/6 mice, DBA/2 mice also showed impaired LI and a different temporal profile in their responses to amphetamine and phencyclidine. Conclusion: Relative to the C57BL/6 strain, DBA/2 mice displayed multiple behavioural traits relevant to schizophrenia psycho- and physiopathology, indicative of both dopaminergic and glutamatergic/N-methyl-d-aspartic acid receptor dysfunctions. Further examination of their underlying neurobiological differences is therefore warranted in order to enhance the power of this specific inter-strain comparison as a model of schizophreni

The glycine transporter 1 inhibitor SSR504734 enhances working memory performance in a continuous delayed alternation task in C57BL/6 mice

Rationale: Inhibition of the glycine transporter 1 (GlyT1) activity increases extra-cellular glycine availability in the CNS. At glutamatergic synapses, increased binding to the glycine-B site located in the N-methyl-d-aspartate receptor (NMDAR) can enhance neurotransmission via NMDARs. Systemic treatment of 2-chloro-N-[(S)-phenyl [(2S)-piperidin-2-yl] methyl]-3-trifluoromethyl benzamide, monohydrochloride (SSR504734), a selective GlyT1 inhibitor, is effective against social recognition impairment induced by neonatal phencyclidine treatment and enhances pre-pulse inhibition in a mouse strain (DBA/2) with intrinsic sensorimotor gating deficiency, suggesting that SSR504734 may be an effective cognitive enhancer. Objective: The objective of the study was to examine if SSR504734 exhibits a promnesic effect on working memory function in wild-type C57BL/6 mice using an automatic continuous alternation task. Materials and methods: Hungry mice were trained to alternate their nose pokes between two food magazines across successive discrete trials in an operant chamber in order to obtain food reward. Correct choice on a given trial thus followed a non-matching or win-shift rule in relation to the preceding trial, with manipulation of the demand on memory retention, by varying the delay between successive trials. Results: Pre-treatment with SSR504734 (30mg/kg, i.p.) improved choice accuracy when the delay from the previous trial was extended to 12-16s. Furthermore, a dose-response analysis (3, 10, 30mg/kg) revealed a clear dose-dependent efficacy of the drug: 3mg/kg was without effect, whilst 10mg/kg led to an intermediate enhancement in performance. Conclusion: The present findings represent the first demonstration of the promnesic effects of SSR504734 under normal physiological conditions, lending further support to the suggestion of its potential as a cognitive enhance

Discovering Beaten Paths in Collaborative Ontology-Engineering Projects using Markov Chains

Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases (ICD) as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and processing information about human health. With increasing adoption and relevance, biomedical ontologies have also significantly increased in size. For example, the 11th revision of the ICD, which is currently under active development by the WHO contains nearly 50,000 classes representing a vast variety of different diseases and causes of death. This evolution in terms of size was accompanied by an evolution in the way ontologies are engineered. Because no single individual has the expertise to develop such large-scale ontologies, ontology-engineering projects have evolved from small-scale efforts involving just a few domain experts to large-scale projects that require effective collaboration between dozens or even hundreds of experts, practitioners and other stakeholders. Understanding how these stakeholders collaborate will enable us to improve editing environments that support such collaborations. We uncover how large ontology-engineering projects, such as the ICD in its 11th revision, unfold by analyzing usage logs of five different biomedical ontology-engineering projects of varying sizes and scopes using Markov chains. We discover intriguing interaction patterns (e.g., which properties users subsequently change) that suggest that large collaborative ontology-engineering projects are governed by a few general principles that determine and drive development. From our analysis, we identify commonalities and differences between different projects that have implications for project managers, ontology editors, developers and contributors working on collaborative ontology-engineering projects and tools in the biomedical domain.Comment: Published in the Journal of Biomedical Informatic

The postweaning social isolation in C57BL/6 mice: preferential vulnerability in the male sex

Introduction: Social deprivation during early life can severely affect mental health later in adulthood, leading to the development of behavioural traits associated with several major psychiatric disorders including schizophrenia. This has led to the application of social isolation in laboratory animals to model the impact of environmental factors on the aetiopathology of schizophrenia. However, controversy exists over the precise behavioural profile and the robustness of some of the reported effects of social isolation rearing. Materials and methods: Here, we evaluated the efficacy of postweaning social isolation to induce schizophrenia-related behavioural deficits in C57BL/6 mice of both sexes. Results: The effects of social isolation clearly differed between sexes: isolated male but not female mice exhibited multiple habituation deficits and enhanced locomotor reaction to amphetamine. Discussion: The preferential vulnerability in the male sex corresponds well with the earlier disease onset and poorer prognosis in male relative to female schizophrenic patients. In contrast, we observed no evidence for a disruption of sensorimotor gating in the prepulse inhibition paradigm despite the efficacy of social isolation to alter startle reactivity. With both success and failure in the induction of schizophrenia-related endophenotypes, the present study thus provides important characterizations and qualifications to the application of the social isolation model in mice. Conclusions: We conclude that social isolation in mice represents a valuable tool for the examination of candidate genes within the context of the "two-hit” hypothesis of the aetiological processes in schizophreni

Detecting Memory and Structure in Human Navigation Patterns Using Markov Chain Models of Varying Order

One of the most frequently used models for understanding human navigation on the Web is the Markov chain model, where Web pages are represented as states and hyperlinks as probabilities of navigating from one page to another. Predominantly, human navigation on the Web has been thought to satisfy the memoryless Markov property stating that the next page a user visits only depends on her current page and not on previously visited ones. This idea has found its way in numerous applications such as Google's PageRank algorithm and others. Recently, new studies suggested that human navigation may better be modeled using higher order Markov chain models, i.e., the next page depends on a longer history of past clicks. Yet, this finding is preliminary and does not account for the higher complexity of higher order Markov chain models which is why the memoryless model is still widely used. In this work we thoroughly present a diverse array of advanced inference methods for determining the appropriate Markov chain order. We highlight strengths and weaknesses of each method and apply them for investigating memory and structure of human navigation on the Web. Our experiments reveal that the complexity of higher order models grows faster than their utility, and thus we confirm that the memoryless model represents a quite practical model for human navigation on a page level. However, when we expand our analysis to a topical level, where we abstract away from specific page transitions to transitions between topics, we find that the memoryless assumption is violated and specific regularities can be observed. We report results from experiments with two types of navigational datasets (goal-oriented vs. free form) and observe interesting structural differences that make a strong argument for more contextual studies of human navigation in future work

The postweaning social isolation in C57BL/6 mice: preferential vulnerability in the male sex

ISSN:0033-3158ISSN:1432-207

Impaired empathy, but intact theory of mind

Aggressive, violent behaviour is a major burden and challenge for society. It has been linked to deficits in social understanding, but the evidence is inconsistent and the specifics of such deficits are unclear. Here, we investigated affective (empathy) and cognitive (Theory of Mind) routes to understanding other people in aggressive individuals. Twenty-nine men with a history of legally relevant aggressive behaviour (i.e. serious assault) and 32 control participants were tested using a social video task (EmpaToM) that differentiates empathy and Theory of Mind and completed questionnaires on aggression and alexithymia. Aggressive participants showed reduced empathic responses to emotional videos of others’ suffering, which correlated with aggression severity. Theory of Mind performance, in contrast, was intact. A mediation analysis revealed that reduced empathy in aggressive men was mediated by alexithymia. These findings stress the importance of distinguishing between socio-affective and socio-cognitive deficits for understanding aggressive behaviour and thereby contribute to the development of more efficient treatments