Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media

The growing popularity of social media (e.g, Twitter) allows users to easily share information with each other and influence others by expressing their own sentiments on various subjects. In this work, we propose an unsupervised \emph{tri-clustering} framework, which analyzes both user-level and tweet-level sentiments through co-clustering of a tripartite graph. A compelling feature of the proposed framework is that the quality of sentiment clustering of tweets, users, and features can be mutually improved by joint clustering. We further investigate the evolution of user-level sentiments and latent feature vectors in an online framework and devise an efficient online algorithm to sequentially update the clustering of tweets, users and features with newly arrived data. The online framework not only provides better quality of both dynamic user-level and tweet-level sentiment analysis, but also improves the computational and storage efficiency. We verified the effectiveness and efficiency of the proposed approaches on the November 2012 California ballot Twitter data.Comment: A short version is in Proceeding of the 2014 ACM SIGMOD International Conference on Management of dat

Bringing values back in: the adequacy of the European Social Survey to measure values in 20 countries

Values are prominent in public discourse today. Theorists have long considered values central to understanding attitudes and behavior. The Schwartz (1992) theory of basic human values has promoted a revival of empirical research on values. The semi-annual European Social Survey (ESS) includes a new 21-item instrument to measure the importance of the ten basic values of the theory. Representative national samples in 20 countries responded to the instrument in 2002-3. We briefly describe the theory and the ESS instrument and assess its adequacy for measuring values across countries. Using multiple group confirmatory factor analyses, augmented with mean-structure information, we assess the configural and measurement (metric) invariance of the values—necessary conditions for equivalence of the meaning of constructs, and scalar invariance—a precondition for comparing value means across countries. Only if such equivalence is established can researchers make meaningful and clearly interpretable cross- national comparisons of value priorities and their correlates. The ESS values scale demonstrates configural and metric invariance, allowing researchers to use it to study relationships among values, attitudes, behavior and socio-demographic characteristics across countries. Comparing the mean importance of values across countries is possible only for subsets of countries where scalar invariance holds

Hormonal adaptations to different training intensities during the preparation of elite judokas for competition

Many efforts are made to quantify objectively the balance between training load and the athlete’s tolerance. The aim of the present study was to evaluate the balance between anabolic (i.e. testosterone and IGF-I) and catabolic (i.e. cortisol) hormones in elite judokas during their preparations (4 months) for the European championships. Five healthy elite Israeli judokas (four male, one female, age range 17–26 years) were tested at baseline, after two months of moderate training, after another one month of intense training, after one month of tapering down prior to the competition, and during the week after the championships. Hormonal level remained relatively unchanged during period of moderate training. Circulating levels of IGF-I and testosterone decreased and the cortisol/testosterone ratio increased during intense training. However, only the decrease in circulating IGF-I level reached statistical significance. Both levels of IGF-I and testosterone increased significantly, and the cortisol/testosterone ratio decreased significantly following tapering down, prior to the championships, compared to the levels during intense training. Changes in the balance of anabolic and catabolic hormones during the training season may help elite athletes and assist their coaches in their preparation for the competition

Reversing conditional orderings

We analyze some specific aspects concerning conditional orderings and relations among them. To this purpose we define a suitable concept of reversed conditional ordering and prove some related results. In particular we aim to compare the univariate stochastic orderings ≤ st, ≤ hr, and ≤ lr in terms of differences among different notions of conditional orderings. Some applications of our result to the analysis of positive dependence will be detailed. We concentrate attention to the case of a pair of scalar random variables X, Y ​. Suitable extensions to multivariate cases are possible

Testing Schwartz’s Model of Cultural Value Orientations in Europe with the European Social Survey: An Empirical Comparison of Additive Indexes with Factor Scores

The aim of this study is to compare results of measuring the Schwartz (2004) cultural value orientations using multilevel confirmatory factor analysis (ML CFA) vs. the unweighted aggregated means (simple means) used in previous research. We conduct this comparison with data from the 21-item short version of the Portrait Values Questionnaire in 6 rounds of the European Social Survey (ESS). An advantage of estimating factor scores via ML CFA vs. simple means is that ML CFA weights the impact of the factors on their indicators empirically. It also permits simultaneously assessing Schwartz' 10 individual level and 7 cultural level values by decomposing the total variances of the 21 items into a within part (individual values) and a between part (cultural values), while controlling for random measurement errors. High intercorrelations between related values in ML CFA required unifying two pairs of cultural values. Comparing correlations with theoretically relevant macro indicators of the factor scores and of the simple means of the cultural values indicated somewhat higher external validity for the factor scores. Taken together, the findings suggest that the derived factor scores provide suitable macro indicators of Schwartz' cultural value orientations for future studies using the ESS data

Behavioral Signatures of Values in Everyday Behavior in Retrospective and Real-Time Self-Reports

We identified behavioral signatures of the values distinguished in the Schwartz et al. refined value theory (2012). We examined behavioral signatures for two types of values, value states and value traits. We conducted two studies using innovative approaches. Study 1 used retrospective self-reports whereas Study 2 used self-reports in real time. In Study 1 (N = 703), we sought act frequency signatures of the 19 basic value traits that the Portrait Value Questionnaire-Revised (Schwartz, 2017) measures. We examined the frequency of 209 acts from the Oregon Avocational Interest Scales (Goldberg, 2010) for which there were no expectations that values would necessarily influence them. We computed partial correlations between each behavioral act and each value. We discuss the theoretical links to each value of the 10 behavioral acts that correlated most highly with it. Study 2 analyzed 9,416 behavioral acts of 374 participants. We measured value expressions in current behavior, i.e., value states, using experience sampling methodology (ESM). We asked participants 7 times per day for 7 days what they had been doing during the past 15 min and how important 9 different values from the Schwartz's refined value theory were to them during that activity. Because the questions about activities were open-ended, the set of behavioral acts analyzed in Study 2 was theoretically unlimited. To find signatures of values in behavior, we identified the activities during which participants reported the highest level of importance for each value. Both studies revealed meaningful associations between values and daily behavior

An alternative approach for the dynamics of polarons in one dimension

We developed a new method based on functional integration to treat the dynamics of polarons in one-dimensional systems. We treat the acoustical and the optical case in an unified manner, showing their differences and similarities. The mobility and diffusion coefficients are calculated in the Markovian approximation in the strong coupling limit.Comment: 57 page

Predatory Bacteria: A Potential Ally against Multidrug-Resistant Gram-Negative Pathogens

Multidrug-resistant (MDR) Gram-negative bacteria have emerged as a serious threat to human and animal health. Bdellovibrio spp. and Micavibrio spp. are Gram-negative bacteria that prey on other Gram-negative bacteria. In this study, the ability of Bdellovibrio bacteriovorus and Micavibrio aeruginosavorus to prey on MDR Gram-negative clinical strains was examined. Although the potential use of predatory bacteria to attack MDR pathogens has been suggested, the data supporting these claims is lacking. By conducting predation experiments we have established that predatory bacteria have the capacity to attack clinical strains of a variety of ß-lactamase-producing, MDR Gram-negative bacteria. Our observations indicate that predatory bacteria maintained their ability to prey on MDR bacteria regardless of their antimicrobial resistance, hence, might be used as therapeutic agents where other antimicrobial drugs fail. © 2013 Kadouri et al

Transport Properties of Solitons

We calculate in this article the transport coefficients which characterize the dynamics of solitons in quantum field theory using the methods of dissipative quantum systems. We show how the damping and diffusion coefficients of soliton-like excitations can be calculated using the integral functional formalism. The model obtained in this article has new features which cannot be obtained in the standard models of dissipation in quantum mechanics.Comment: 16 Pages, RevTeX, Preprint UIU

Individual values, cultural embeddedness, and anti-immigration sentiments: Explaining differences in the effect of values on attitudes toward immigration across Europe

During the last decade, many European countries have faced sizeable immigration inflows accompanied by high prevalence of negative sentiments toward immigrants among majority members of the host societies. We propose that basic human values are one important determinant of such negative attitudes, and we seek to explain variation across countries in the strength of the effects of values. Based on Schwartz' (1992, 1994) basic human value theory, we hypothesize that universalism values are conducive to positive attitudes toward immigration, while conformity-tradition reinforce anti-immigration sentiments. We furthermore hypothesize that these value effects are moderated by two contextual variables. Both value effects are expected to be weaker in countries with a higher level of cultural embeddedness. Furthermore, negative effects of conformity-tradition values are hypothesized to be cushioned by a lower proportion of immigrants in the country. A multilevel analysis of data from 24 countries from the fourth round of the European Social Survey (2008-2009) supports these hypotheses. Moreover, we demonstrate that the measurement properties of the theoretical constructs exhibit equivalence across countries, thereby justifying statistical comparisons