On the public citation graph
The effect of graph layout on inference from social network data
0 signed · 83 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0378-8733(78)90021-7openalex-snapshot
Centrality in social networks conceptual clarification
inferredcites →https://doi.org/10.1016/0925-7721(94)00014-xopenalex-snapshot
Algorithms for drawing graphs: an annotated bibliography
inferredcites →https://doi.org/10.1109/32.52777openalex-snapshot
A framework for the automated drawing of data structure diagrams
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1006/jvlc.1998.0093openalex-snapshot
Performance of Layout Algorithms: Comprehension, not Computation
inferred← citeshttps://doi.org/10.1007/11618058_28openalex-snapshot
Energy-Based Clustering of Graphs with Nonuniform Degrees
inferred← citeshttps://doi.org/10.1007/3-540-63938-1_67openalex-snapshot
Which aesthetic has the greatest effect on human understanding?
inferred← citeshttps://doi.org/10.1007/978-1-4614-7485-2_14openalex-snapshot
Evaluating Overall Quality of Graph Visualizations Indirectly and Directly
inferred← citeshttps://doi.org/10.1007/978-1-4614-7485-2_20openalex-snapshot
Visualizing Multiple Levels and Dimensions of Social Network Properties
inferred← citeshttps://doi.org/10.1007/978-3-030-41018-6_90openalex-snapshot
The Use of Graphs to Explore the Network Paradigm in Urban and Territorial Studies
inferred← citeshttps://doi.org/10.1007/978-3-319-59306-7_21openalex-snapshot
On the Visualization of Discrete Non-additive Measures
inferred← citeshttps://doi.org/10.1007/978-3-322-99786-9_12openalex-snapshot
Flexible Präsentation von Prozeßmodellen
inferred← citeshttps://doi.org/10.1007/978-3-540-24595-7_40openalex-snapshot
An Energy Model for Visual Graph Clustering
inferred← citeshttps://doi.org/10.1007/978-3-540-74780-2_4openalex-snapshot
Innovative Visualization Tools to Monitor Scientific Cooperative Activities
inferred← citeshttps://doi.org/10.1007/978-3-642-21608-4_13openalex-snapshot
VENLO: Interactive Visual Exploration of Aligned Biological Networks and Their Evolution
inferred← citeshttps://doi.org/10.1007/978-981-13-2850-3_12openalex-snapshot
Clustering and Layout of Graphs with Attributed Nodes
inferred← citeshttps://doi.org/10.1007/bfb0021794openalex-snapshot
Fast interactive 3-D graph visualization
inferred← citeshttps://doi.org/10.1016/j.jvlc.2014.03.001openalex-snapshot
Larger crossing angles make graphs easier to read
inferred← citeshttps://doi.org/10.1016/j.socnet.2013.04.008openalex-snapshot
The efficacy of tables versus graphs in disrupting dark networks: An experimental study
inferred← citeshttps://doi.org/10.1016/j.socnet.2018.01.005openalex-snapshot
Network visualization and problem-solving support: A cognitive fit study
inferred← citeshttps://doi.org/10.1016/j.visinf.2018.12.006openalex-snapshot
Exploring the limits of complexity: A survey of empirical studies on graph visualisation
inferred← citeshttps://doi.org/10.1016/s0953-5438(00)00032-1openalex-snapshot
Effective information visualisation: a study of graph drawing aesthetics and algorithms
inferred← citeshttps://doi.org/10.1057/ivs.2010.10openalex-snapshot
Effective Temporal Graph Layout: A Comparative Study of Animation versus Static Display Methods
inferred← citeshttps://doi.org/10.1057/palgrave.ivs.9500116openalex-snapshot
Matrices or Node-Link Diagrams: Which Visual Representation is Better for Visualising Connectivity Models?
inferred← citeshttps://doi.org/10.1080/01969722.2020.1871228openalex-snapshot
Centralization Measures for Social Networks
inferred← citeshttps://doi.org/10.1080/01969722.2022.2162737openalex-snapshot
A Centralization Measure for Social Networks Assessment
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.001.0001openalex-snapshot
Social Networks and Health
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.002.0003openalex-snapshot
Copyright Page
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.003.0001openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.003.0004openalex-snapshot
Ego- and Personal-Network Effects
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.003.0008openalex-snapshot
Network-Level Measures
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.003.0009openalex-snapshot
Exponential Random Graph Models, P* and Actor Oriented Models
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.003.0010openalex-snapshot
Diffusion of Innovations
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.003.0011openalex-snapshot
Network Interventions
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.005.0001openalex-snapshot
Appendix A: Glossary
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.005.0002openalex-snapshot
Appendix B: Sample Sociometric Survey
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.005.0003openalex-snapshot
Sample Egocentric Survey
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.005.0004openalex-snapshot
Centrality Scores for Network in Figure 1–1
inferred← citeshttps://doi.org/10.1093/acprof:oso/9780195301014.005.0005openalex-snapshot
Input Files (Network and Attribute) for the Network in Figure 1–1
inferred← citeshttps://doi.org/10.1109/2945.841119openalex-snapshot
Graph visualization and navigation in information visualization: A survey
inferred← citeshttps://doi.org/10.1109/access.2019.2900358openalex-snapshot
A Graph Layout Framework Combining t-Distributed Neighbor Retrieval Visualizer and Energy Models
inferred← citeshttps://doi.org/10.1109/access.2020.3047616openalex-snapshot
The State of the Art in Empirical User Evaluation of Graph Visualizations
inferred← citeshttps://doi.org/10.1109/dsc.2018.00116openalex-snapshot
Visualization of Pairwise Data: An Overview
inferred← citeshttps://doi.org/10.1109/icif.2006.301772openalex-snapshot
Visualization Support for Fusing Relational, Spatio-Temporal Data: Building Career Histories
inferred← citeshttps://doi.org/10.1109/iv.2007.137openalex-snapshot
Visualizing the activity of a web-based collaborative platform
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00035openalex-snapshot
Rapid GPU-Based Pangenome Graph Layout
inferred← citeshttps://doi.org/10.1109/tem.2017.2758319openalex-snapshot
Supply Network Structure and Firm Performance: Evidence From the Electronics Industry
inferred← citeshttps://doi.org/10.1109/tvcg.2006.106openalex-snapshot
TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts
inferred← citeshttps://doi.org/10.1109/tvcg.2019.2934396openalex-snapshot
A Deep Generative Model for Graph Layout
inferred← citeshttps://doi.org/10.1109/tvcg.2021.3114756openalex-snapshot
STRATISFIMAL LAYOUT: A modular optimization model for laying out layered node-link network visualizations
inferred← citeshttps://doi.org/10.1109/tvcg.2024.3456349openalex-snapshot
Evaluating and Extending Speedup Techniques for Optimal Crossing Minimization in Layered Graph Drawings
inferred← citeshttps://doi.org/10.1111/j.1468-2958.2010.01375.xopenalex-snapshot
Compliance Dynamics Within a Simulated Friendship Network I: The Effects of Agency, Tactic, and Node Centrality
inferred← citeshttps://doi.org/10.1140/epjds/s13688-014-0027-8openalex-snapshot
Fast filtering and animation of large dynamic networks
inferred← citeshttps://doi.org/10.1145/2838739.2838740openalex-snapshot
Comparing Graph Layouts for Vertex Selection Tasks
inferred← citeshttps://doi.org/10.1145/304893.304918openalex-snapshot
Empirical design of geometric algorithms
inferred← citeshttps://doi.org/10.1177/0951692899011001004openalex-snapshot
Explorations into the Visualization of Policy Networks
inferred← citeshttps://doi.org/10.1177/1473871612455749openalex-snapshot
A survey of two-dimensional graph layout techniques for information visualisation
inferred← citeshttps://doi.org/10.1186/1471-2105-10-327openalex-snapshot
VANLO - Interactive visual exploration of aligned biological networks
inferred← citeshttps://doi.org/10.1186/1747-5333-4-2openalex-snapshot
Supporting cognition in systems biology analysis: findings on users' processes and design implications
inferred← citeshttps://doi.org/10.17760/d20486922openalex-snapshot
Layered graphs and their layouts, evaluations, and applications
inferred← citeshttps://doi.org/10.21236/ada601590openalex-snapshot
A Survey of Visualization Tools Assessed for Anomaly-Based Intrusion Detection Analysis
inferred← citeshttps://doi.org/10.26686/wgtn.17008228openalex-snapshot
An Empirical Evaluation of Force-Directed Graph Layout
inferred← citeshttps://doi.org/10.26686/wgtn.17008228.v1openalex-snapshot
An Empirical Evaluation of Force-Directed Graph Layout
inferred← citeshttps://doi.org/10.31219/osf.io/4hfy9openalex-snapshot
The worst graph layout algorithm ever
inferred← citeshttps://doi.org/10.31219/osf.io/4hfy9_v1openalex-snapshot
The worst graph layout algorithm ever
inferred← citeshttps://doi.org/10.31219/osf.io/abz8eopenalex-snapshot
Evaluating and extending speedup techniques for optimal crossing minimization in layered graph drawings
inferred← citeshttps://doi.org/10.31219/osf.io/abz8e_v1openalex-snapshot
Evaluating and extending speedup techniques for optimal crossing minimization in layered graph drawings
inferred← citeshttps://doi.org/10.48550/arxiv.1712.05644openalex-snapshot
graphTPP: A multivariate based method for interactive graph layout and analysis
inferred← citeshttps://doi.org/10.70675/5ba11cbezb39fz479fza735z7f57cc86e78fopenalex-snapshot
A Quantitative Theory of Social Cohesion
inferred← citeshttps://doi.org/10.7155/jgaa.00154openalex-snapshot
Energy Models for Graph Clustering
inferred← citeshttps://doi.org/10.7155/jgaa.00323openalex-snapshot
A healthy critical attitude: Revisiting the results of a graph drawing study
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.