186 citations · 572 across the 23 of their papers we have counts for
25 papers
Detectability limits of scaling laws
Alec Kirkley
Power law scaling relations between size and output are central to quantitative theories of cities, organisms, and other complex systems. Competing theories predict scaling exponen…
MoRAX: Mobility-based Representation Augmentation for Geospatial Foundation Models
Ya Wen, Jixuan Cai, Yulun Zhou +1
Geospatial Foundation Models (GFMs) are emerging as a powerful paradigm for learning semantically rich and geographically consistent visual and physical representations. However, t…
Heterogeneous Interaction Network Analysis (HINA): A New Learning Analytics Approach for Modelling, Analyzing, and Visualizing Complex Interactions in Learning Processes
Shihui Feng, Baiyue He, Dragan Gasevic +1
Existing learning analytics approaches, which often model learning processes as sequences of learner actions or homogeneous relationships, are limited in capturing the distributed,…
Belief propagation for finite networks using a symmetry-breaking source node
Seongmin Kim, Alec Kirkley
Belief Propagation (BP) is an efficient message-passing algorithm widely used for inference in graphical models and for solving various problems in statistical physics. However, BP…
Mutual information and the encoding of contingency tables
Maximilian Jerdee, Alec Kirkley, M. E. J. Newman
Mutual information is commonly used as a measure of similarity between competing labelings of a given set of objects, for example to quantify performance in classification and comm…
Inference of dynamic hypergraph representations in temporal interaction data
Alec Kirkley
A range of systems across the social and natural sciences generate datasets consisting of interactions between two distinct categories of items at various instances in time. Online…
Normalized mutual information is a biased measure for classification and community detection
Maximilian Jerdee, Alec Kirkley, M. E. J. Newman
Normalized mutual information is widely used as a similarity measure for evaluating the performance of clustering and classification algorithms. In this paper, we argue that result…
Characterizing network circuity among heterogeneous urban amenities
Bibandhan Poudyal, Gourab Ghoshal, Alec Kirkley
The spatial configuration of urban amenities and the streets connecting them collectively provide the structural backbone of a city, influencing its accessibility, vitality, and ul…
Heterogeneous message passing for heterogeneous networks
George T. Cantwell, Alec Kirkley, Filippo Radicchi
Message passing (MP) is a computational technique used to find approximate solutions to a variety of problems defined on networks. MP approximations are generally accurate in local…
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection
Tiago P. Peixoto, Alec Kirkley
The task of community detection, which aims to partition a network into clusters of nodes to summarize its large-scale structure, has spawned the development of many competing algo…
Improved estimates for the number of non-negative integer matrices with given row and column sums
Maximilian Jerdee, Alec Kirkley, M. E. J. Newman
The number of non-negative integer matrices with given row and column sums appears in a variety of problems in mathematics and statistics but no closed-form expression for it is kn…
Compressing network populations with modal networks reveals structural diversity
Alec Kirkley, Alexis Rojas, Martin Rosvall +1
Analyzing relational data consisting of multiple samples or layers involves critical challenges: How many networks are required to capture the variety of structures in the data? An…
The impact of inter-city mobility on urban welfare
Sayat Mimar, David Soriano-Paños, Alec Kirkley +5
While much effort has been devoted to understand the role of intra-urban characteristics on sustainability and growth, much remains to be understood about the effect of inter-urban…
Spatial regionalization based on optimal information compression
Alec Kirkley
Regionalization, spatially contiguous clustering, provides a means to reduce the effect of noise in sampled data and identify homogeneous areas for policy development among many ot…
Clustering of heterogeneous populations of networks
Jean-Gabriel Young, Alec Kirkley, M. E. J. Newman
Statistical methods for reconstructing networks from repeated measurements typically assume that all measurements are generated from the same underlying network structure. This nee…
Representative community divisions of networks
Alec Kirkley, M. E. J. Newman
Methods for detecting community structure in networks typically aim to identify a single best partition of network nodes into communities, often by optimizing some objective functi…
The friendship paradox in real and model networks
George T. Cantwell, Alec Kirkley, M. E. J. Newman
The friendship paradox is the observation that the degrees of the neighbors of a node in any network will, on average, be greater than the degree of the node itself. In common parl…
Online geolocalized emotion across US cities during the COVID crisis: Universality, policy response, and connection with local mobility
Shihui Feng, Alec Kirkley
As the COVID-19 pandemic began to sweep across the US it elicited a wide spectrum of responses, both online and offline, across the population. To aid the development of effective…
Information theoretic network approach to socioeconomic correlations
Alec Kirkley
Due to its wide reaching implications for everything from identifying hotspots of income inequality to political redistricting, there is a rich body of literature across the scienc…
Belief propagation for networks with loops
Alec Kirkley, George T. Cantwell, M. E. J. Newman
Belief propagation is a widely used message passing method for the solution of probabilistic models on networks such as epidemic models, spin models, and Bayesian graphical models,…
Impact of urban structure on infectious disease spreading
Javier Aguilar, Aleix Bassolas, Gourab Ghoshal +8
The ongoing SARS-CoV-2 pandemic has been holding the world hostage for more than a year now. Mobility is key to viral spreading and its restriction is the main non-pharmaceutical i…
Mixing Patterns in Interdisciplinary Collaboration Networks: Assessing Interdisciplinarity Through Multiple Lenses
Shihui Feng, Alec Kirkley
There are inherent challenges to interdisciplinary research collaboration, such as bridging cognitive gaps and balancing transaction costs with collaborative benefits. This raises…
Balance in signed networks
Alec Kirkley, George T. Cantwell, M. E. J. Newman
We consider signed networks in which connections or edges can be either positive (friendship, trust, alliance) or negative (dislike, distrust, conflict). Early literature in graph…
Robust Design from Systems Physics
Andrei A. Klishin, Alec Kirkley, David J. Singer +1
A crucial challenge in engineering modern, integrated systems is to produce robust designs. Ensuring robust design is difficult because subsystem couplings produce unpredictable re…