Social and Information Networks Papers of the Week

Several public scripts for formulaic alpha mining store prices adjusted to the snapshot's last day, so a past day's stored price changes with every later split or dividend and formulas that do not cancel the adjustment factor depend on future corporate actions. We formalise a change of adjustment anchor as a per-stock group action and give a two-sorted type system that soundly certifies anchor invariance from a formula's syntax, under a declared field-adjustment contract and idealised operator semantics; its second sort admits log-returns, and a linear-time checker plugs into any miner.

We propose \method, a generative framework that represents nodes with compact semantic identifiers (SIDs) learned from text and autoregressively predicts a target SID conditioned on the source SID, recent interaction events, and relative time gaps.

This study presents an integrated framework—combining travel behavior analysis, spatial network modeling, community detection, and deep learning—to examine the operational patterns of Washington, D.C.’s Capital Bikeshare system using high-resolution trip data from July to September 2024.

We propose a rule and evidence enhanced risk assessment and risk-based dynamic communication decision-making framework to suppress the spread of health misinformation.

This study examines the coping strategies employed by Generation Z young adults whose parents are divorced.

We study community search when each vertex has its own tolerance for differences in position.

This study proposes a community-enhanced graph neural network (CE-GNN) to predict the elastic response of four-phase cementitious materials.

To this end, we introduce a new jailbreaking technique combining Projected Gradient Descent (PGD) attack with a safety-aware prompt optimization specifically tailored to bypass safety filters in advanced T2I models.

Most existing methods represent users and cascades in real-valued Euclidean spaces, which may offer limited capacity to model multi-factor interactions and asymmetric influence in complex diffusion processes. To address these challenges, we propose CasHyper, a hypercomplex-based cascade prediction framework that integrates hypercomplex algebra with graph neural networks and Transformers.

The mobilisation brought participants into a rapidly assembled network of Telegram chats, but disagreements over its direction and protest tactics became visible after the first demonstrations. We study how this online environment formed and subsequently fragmented.

Since Codd proposed the relational model in 1970, relational databases have been widely adopted in enterprise data management because of their structured model, standardized SQL, and ACID transactions.

We extend an agent-based disruption model with edge-level products, a product-specific substitution rule based on the semantic similarity of product names, and calibrated capacities and inventories.

This article examines how vernacular practices, adaptation strategies, and institutional action shape heritage conservation and resilience in Navala (Fiji), Sandwip (Bangladesh), Stone Town (Zanzibar, Tanzania), and the Island of Mozambique (Mozambique).

Studying these effects in cities is challenging because, unlike online resources, travel constraints and limited venue capacity shape where people can go, while each recommended visit also changes whom other visitors encounter. To capture such features, we build a long-term simulation framework based on fine-grained human mobility data from four U.S. metropolitan areas, with distance and capacity constraints.

Despite the potential of Climate Information Services (CIS) and crop insurance to address these risks, there are few studies on the nexus between the two. This systematic review aims to collate and synthesize existing evidence on the inter-linkages between CIS and crop insurance.

We develop a discrete-time unexposed–exposed–active–inactive (UEAI) model that links static stance consistency, target-specific recommendation visibility and active-prevalence feedback.

In this work we extract and characterize the different social roles of users within the WallStreetBets community on Reddit, around the time of the GameStop short squeeze of January 2021 – when a handful of committed users led the whole community to engage in a large and risky financial operation.