arXiv research

New method detects psychosocial factors linked to gang violence on social media.

Networks play a central role in modern data analysis, enabling us to reason about systems by studying the relationships between their parts. Most often in network analysis, the edges are given. However, in many systems it is difficult or impossible to measure the network directly. Examples of latent networks include ec…

I present a unified discussion of several recently published results concerning the escalation, timing and severity of violent events in human conflicts and global terrorism, and set them in the wider context of real-world and cyber-based collective violence and illicit activity. I point out how the borders distinguish…

System classifies metaphorical violence on cable news.

Machine learning improves risk assessment for gender-based violence victims.

While the costs of human violence have attracted a great deal of attention from the research community, the effects of the network-on-network (NoN) violence popularised by Generative Adversarial Networks have yet to be addressed. In this work, we quantify the financial, social, spiritual, cultural, grammatical and derm…

We first pursue the study of how hierarchy provides a well-adapted tool for the analysis of change. Then, using a time sequence-constrained hierarchical clustering, we develop the practical aspects of a new approach to wavelet regression. This provides a new way to link hierarchical relationships in a multivariate time…

The July Revolution in Bangladesh was fueled by state violence, which paradoxically strengthened the movement.

Generative Adversarial Networks (GAN) have become one of the most successful frameworks for unsupervised generative modeling. As GANs are difficult to train much research has focused on this. However, very little of this research has directly exploited game-theoretic techniques. We introduce Generative Adversarial Netw…

Paper proposes a framework to analyze DV on social media.

Sharp estimate shown to be rigid on curved surfaces.

In this short Note, we establish that the constant $C_1$ in Lemma $0.4$ of the correction (Correction to Section 19.2 of Ricci Flow and the Poincare Conjecture, arXiv/math/DG:1512.00699 (2015)) by John Morgan and Gang Tian to their Clay Institute Monograph (Ricci Flow and the Poincare Conjecture, vol. 3, Clay Mathemati…

Domestic violence (DV) is a global social and public health issue that is highly gendered. Being able to accurately predict DV recidivism, i.e., re-offending of a previously convicted offender, can speed up and improve risk assessment procedures for police and front-line agencies, better protect victims of DV, and pote…

Neural networks improve scalability for agent-based modeling demonstrations.

Proves formula for 3D index change with Dehn filling.

We model anomaly and change in data by embedding the data in an ultrametric space. Taking our initial data as cross-tabulation counts (or other input data formats), Correspondence Analysis allows us to endow the information space with a Euclidean metric. We then model anomaly or change by an induced ultrametric. The in…

This work is based on the approach developed by J.~Dorfmeister, F.~Pedit and H.~Wu [GANG and KITCS preprint, Report KITCS94-4-1] to construct maps $Φ:D\rightarrow R^3$, $D$ being the unit disk in $C$, whose images are surfaces of constant mean curvature. They start from certain meromorphic one forms, so called meromorp…

We study the evolution of anticanonical line bundles along the Kähler Ricci flow. We show that under some conditions, the convergence of Kähler Ricci flow is determined by the properties of the anticanonical divisors of $M$. As examples, the Kähler Ricci flow on $M$ converges when $M$ is a Fano surface and $c_1^2(M)=1$…

3D quantum trace map connects 3-manifold quantizations.

The paper supports a conjecture about a vanishing identity for certain 3-manifolds.

This study predicts crime trends in Denver using machine learning.

Study disrupts Sicilian Mafia networks using data analysis.

We provide here a counter-example to the second inequality of Corollary (19.10) in the Clay Institute Monograph by J.Morgan and G.Tian entitled "Ricci Flow and the Poincare Conjecture". We had announced the existence of this counter-example in our paper "Five Gaps in Mathematics", Advanced Non-linear Studies, vol 15, N…

Anti-ELAB protests affected Hong Kong firms' stock prices, especially those linked to pan-democrats.

In this work, we obtain existence criteria for Chern-Ricci flows on noncompact manifolds. We generalize a result by Tossati-Wienkove on Chern-Ricci flows to noncompact manifolds and at the same time generalize a result for Kahler-Ricci flows by Lott-Zhang to Chern-Ricci flows. Using the existence results, we prove that…

Proves conjecture about integer sums of torus knot torsions.

Refined 3D index uses surgery and gradings to distinguish 3-manifolds.

New method reconstructs networks from spatiotemporal data.

Cascading chains of events are a salient feature of many real-world social, biological, and financial networks. In social networks, social reciprocity accounts for retaliations in gang interactions, proxy wars in nation-state conflicts, or Internet memes shared via social media. Neuron spikes stimulate or inhibit spike…

Study analyzes homicide rates in Goias, Brazil, using clustering methods.

We examine random variables in the power law/regularly varying class with stochastic tail exponent, the exponent $α$ having its own distribution. We show the effect of stochasticity of $α$ on the expectation and higher moments of the random variable. For instance, the moments of a right-tailed or right-asymmetric varia…

Multi-armed bandit problems are receiving a great deal of attention because they adequately formalize the exploration-exploitation trade-offs arising in several industrially relevant applications, such as online advertisement and, more generally, recommendation systems. In many cases, however, these applications have a…

Extends three circle theorem to almost Hermitian manifolds.

Study causal inference under specific sampling methods with monotonicity assumptions.

SLIM model predicts social network polarization using signed links.

Quantum modularity proved for a knot manifold.

Developed Taylor series for muscle-finger system analysis.

We propose a method to assign non-unitary TQFTs to certain SCFTs, deriving bounds and examples.

New modular data from torus bundles via particle-hole equivariantization.

Paper accelerates nonlinear mapping in online systems with lower time complexity.

A new active learning method for skewed data sets.

High and volatile global food prices have led to food riots and played a critical role in triggering the Arab Spring revolutions in recent years. The severe drought in the US in the summer of 2012 led to a new increase in food prices. Through the fall, they remained at a threshold above which the riots and revolutions …

Mathematical study supports connection between 3D manifolds and modular tensor categories.