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Peter J Mucha

Biographic Data

ID4164073
NAMEPeter J Mucha
GIVEN NAMESPeter J
FAMILY NAMEMucha
SIGNATUREMUCHA P J
AFFILIATIONSUniversity of North Carolina at Chapel Hill
ORCID0000-0002-0648-7230
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS50
AUTHOR COUNT11
EDITOR COUNT0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2026
H-INDEX3
  • Staying connected

    Open Access•Ovidia A Stanoi, Danielle Cosme et al.•ARTICLE•Emotion•2026

    Close social relationships are critical for emotional well-being. The COVID-19 pandemic severely disrupted in-person contact with friends, particularly among young adults, for whom friendships support key developmental goals. In a longitudinal study of U.S. college students ( N = 205; 10,088 observations), we examined how close friendship networks related to emotional well-being during the early months of the pandemic (May-October 2020). Leveragi…

  • Profiles of Daily Positive Emotion Dynamics and Associations with Flourishing

    Open Access•Nidah Mohammed, Eric K Layland et al.•ARTICLE•Journal of Happiness Studies•2025

  • Within-Person Temporal Associations Among Self-Reported Physical Activity, Sleep, and Well-Being in College Students

    Amanda L McGowan, Zachary M Boyd et al.•ARTICLE•Psychosomatic Medicine•2023

    OBJECTIVE: A holistic understanding of the naturalistic dynamics among physical activity, sleep, emotions, and purpose in life as part of a system reflecting wellness is key to promoting well-being. The main aim of this study was to examine the day-to-day dynamics within this wellness system. METHODS: Using self-reported emotions (happiness, sadness, anger, anxiousness) and physical activity periods collected twice per day, and daily reports of s…

  • Hierarchy and the Provision of Order in International Politics

    Kyle Beardsley, Howard Liu et al.•ARTICLE•The Journal of Politics•2020•Cited by: 17•References: 51

    The anarchic international system is actually heavily structured: communities of states join together for common benefit; strong states form hierarchical relationships with weak states to enforce order and achieve preferred outcomes. Breaking from prior research, we conceptualize structures such as community and hierarchy as properties of networks of states' interactions that can capture unobserved constraints in state behavior, constraints that …

  • EndNote

    Open Access•Ian Barnett, Nishant Malik et al.•ARTICLE•Network Science•2019•Cited by: 1

    Network representations of systems from various scientific and societal domains are neither completely random nor fully regular, but instead appear to contain recurring structural features. These features tend to be shared by networks belonging to the same broad class, such as the class of social networks or the class of biological networks. Within each such class, networks describing similar systems tend to have similar features. This occurs pre…

  • Care Coordination and Multispecialty Teams in the Care of Colorectal Cancer Patients

    Justin G Trogdon, YunKyung Chang et al.•ARTICLE•Medical Care•2018•References: 15

    OBJECTIVES: To estimate the association between provider and team experience and adherence to guidelines, survival, and utilization among colorectal cancer patients in North Carolina. SUBJECTS: The analysis cohort included 7295 patients diagnosed with incident stage II/III colorectal cancer between 2004 and 2013 who received surgery. METHODS: Primary outcomes included adherence to guidelines: consultation with a medical oncologist (stage III), re…

  • A local perspective on community structure in multilayer networks

    Open Access•LUCAS G S JEUB, MICHAEL W MAHONEY et al.•ARTICLE•Network Science•2017•Cited by: 2•References: 41

    The analysis of multilayer networks is among the most active areas of network science, and there are several methods to detect dense “communities” of nodes in multilayer networks. One way to define a community is as a set of nodes that trap a diffusion-like dynamical process (usually a random walk) for a long time. In this view, communities are sets of nodes that create bottlenecks to the spreading of a dynamical process on a network. We analyze …

  • Climate shocks and migration

    Open Access•Barbara Entwisle, Nathalie E Williams et al.•ARTICLE•Population and Environment•2016•Cited by: 11•References: 51

  • Kantian fractionalization predicts the conflict propensity of the international system

    Open Access•Skyler J Cranmer, Sue Cranmer et al.•ARTICLE•Proceedings of the National…•2015

    Significance Many studies in international relations have investigated relationships between pairs of countries and the likelihood of conflict, yet none have connected the overall structure of the network of relationships between countries with the total level of international conflict. Here, we blaze a new path in the study of international conflict by introducing a measure of the overall fractionalization in the network of international relatio…

  • Portrait of Political Party Polarization

    Open Access•James Moody, Peter J Mucha•ARTICLE•Network Science•2013•Cited by: 19•References: 1

    To find out, we measure co-voting similarity networks in the US Senate and trace individual careers over time. Standard network visualization tools fail on dense highly clustered networks, so we used two aggregation strategies to clarify positional mobility over time. First, clusters of Senators who often vote the same way capture coalitions , and allow us to measure polarization quantitatively through modularity (Newman, 2006; Waugh et al., 2009…

  • Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

    Open Access•Peter J Mucha, Thomas Richardson et al.•ARTICLE•Science•2010

    Network Notation Networks are often characterized by clusters of constituents that interact more closely with each other and have more connections to one another than they do with the rest of the components of the network. However, systematically identifying and studying such community structure in complicated networks is not easy, especially when the network interactions change over time or contain multiple types of connections, as seen in many …

  • Portrait of Political Party Polarization

    Open Access•James Moody, Peter J Mucha•ARTICLE•Network Science•2013•Cited by: 19•References: 1

    To find out, we measure co-voting similarity networks in the US Senate and trace individual careers over time. Standard network visualization tools fail on dense highly clustered networks, so we used two aggregation strategies to clarify positional mobility over time. First, clusters of Senators who often vote the same way capture coalitions , and allow us to measure polarization quantitatively through modularity (Newman, 2006; Waugh et al., 2009…

  • Hierarchy and the Provision of Order in International Politics

    Kyle Beardsley, Howard Liu et al.•ARTICLE•The Journal of Politics•2020•Cited by: 17•References: 51

    The anarchic international system is actually heavily structured: communities of states join together for common benefit; strong states form hierarchical relationships with weak states to enforce order and achieve preferred outcomes. Breaking from prior research, we conceptualize structures such as community and hierarchy as properties of networks of states' interactions that can capture unobserved constraints in state behavior, constraints that …

  • Climate shocks and migration

    Open Access•Barbara Entwisle, Nathalie E Williams et al.•ARTICLE•Population and Environment•2016•Cited by: 11•References: 51

  • A local perspective on community structure in multilayer networks

    Open Access•LUCAS G S JEUB, MICHAEL W MAHONEY et al.•ARTICLE•Network Science•2017•Cited by: 2•References: 41

    The analysis of multilayer networks is among the most active areas of network science, and there are several methods to detect dense “communities” of nodes in multilayer networks. One way to define a community is as a set of nodes that trap a diffusion-like dynamical process (usually a random walk) for a long time. In this view, communities are sets of nodes that create bottlenecks to the spreading of a dynamical process on a network. We analyze …

  • EndNote

    Open Access•Ian Barnett, Nishant Malik et al.•ARTICLE•Network Science•2019•Cited by: 1

    Network representations of systems from various scientific and societal domains are neither completely random nor fully regular, but instead appear to contain recurring structural features. These features tend to be shared by networks belonging to the same broad class, such as the class of social networks or the class of biological networks. Within each such class, networks describing similar systems tend to have similar features. This occurs pre…

  • Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

    Open Access•Peter J Mucha, Thomas Richardson et al.•ARTICLE•Science•2010

    Network Notation Networks are often characterized by clusters of constituents that interact more closely with each other and have more connections to one another than they do with the rest of the components of the network. However, systematically identifying and studying such community structure in complicated networks is not easy, especially when the network interactions change over time or contain multiple types of connections, as seen in many …

  • Portrait of Political Party Polarization

    Open Access•James Moody, Peter J Mucha•ARTICLE•Network Science•2013•Cited by: 19•References: 1

    To find out, we measure co-voting similarity networks in the US Senate and trace individual careers over time. Standard network visualization tools fail on dense highly clustered networks, so we used two aggregation strategies to clarify positional mobility over time. First, clusters of Senators who often vote the same way capture coalitions , and allow us to measure polarization quantitatively through modularity (Newman, 2006; Waugh et al., 2009…

  • Kantian fractionalization predicts the conflict propensity of the international system

    Open Access•Skyler J Cranmer, Sue Cranmer et al.•ARTICLE•Proceedings of the National…•2015

    Significance Many studies in international relations have investigated relationships between pairs of countries and the likelihood of conflict, yet none have connected the overall structure of the network of relationships between countries with the total level of international conflict. Here, we blaze a new path in the study of international conflict by introducing a measure of the overall fractionalization in the network of international relatio…

  • Climate shocks and migration

    Open Access•Barbara Entwisle, Nathalie E Williams et al.•ARTICLE•Population and Environment•2016•Cited by: 11•References: 51

  • A local perspective on community structure in multilayer networks

    Open Access•LUCAS G S JEUB, MICHAEL W MAHONEY et al.•ARTICLE•Network Science•2017•Cited by: 2•References: 41

    The analysis of multilayer networks is among the most active areas of network science, and there are several methods to detect dense “communities” of nodes in multilayer networks. One way to define a community is as a set of nodes that trap a diffusion-like dynamical process (usually a random walk) for a long time. In this view, communities are sets of nodes that create bottlenecks to the spreading of a dynamical process on a network. We analyze …

  • Care Coordination and Multispecialty Teams in the Care of Colorectal Cancer Patients

    Justin G Trogdon, YunKyung Chang et al.•ARTICLE•Medical Care•2018•References: 15

    OBJECTIVES: To estimate the association between provider and team experience and adherence to guidelines, survival, and utilization among colorectal cancer patients in North Carolina. SUBJECTS: The analysis cohort included 7295 patients diagnosed with incident stage II/III colorectal cancer between 2004 and 2013 who received surgery. METHODS: Primary outcomes included adherence to guidelines: consultation with a medical oncologist (stage III), re…

  • EndNote

    Open Access•Ian Barnett, Nishant Malik et al.•ARTICLE•Network Science•2019•Cited by: 1

    Network representations of systems from various scientific and societal domains are neither completely random nor fully regular, but instead appear to contain recurring structural features. These features tend to be shared by networks belonging to the same broad class, such as the class of social networks or the class of biological networks. Within each such class, networks describing similar systems tend to have similar features. This occurs pre…

  • Hierarchy and the Provision of Order in International Politics

    Kyle Beardsley, Howard Liu et al.•ARTICLE•The Journal of Politics•2020•Cited by: 17•References: 51

    The anarchic international system is actually heavily structured: communities of states join together for common benefit; strong states form hierarchical relationships with weak states to enforce order and achieve preferred outcomes. Breaking from prior research, we conceptualize structures such as community and hierarchy as properties of networks of states' interactions that can capture unobserved constraints in state behavior, constraints that …

  • Within-Person Temporal Associations Among Self-Reported Physical Activity, Sleep, and Well-Being in College Students

    Amanda L McGowan, Zachary M Boyd et al.•ARTICLE•Psychosomatic Medicine•2023

    OBJECTIVE: A holistic understanding of the naturalistic dynamics among physical activity, sleep, emotions, and purpose in life as part of a system reflecting wellness is key to promoting well-being. The main aim of this study was to examine the day-to-day dynamics within this wellness system. METHODS: Using self-reported emotions (happiness, sadness, anger, anxiousness) and physical activity periods collected twice per day, and daily reports of s…

  • Profiles of Daily Positive Emotion Dynamics and Associations with Flourishing

    Open Access•Nidah Mohammed, Eric K Layland et al.•ARTICLE•Journal of Happiness Studies•2025

  • Staying connected

    Open Access•Ovidia A Stanoi, Danielle Cosme et al.•ARTICLE•Emotion•2026

    Close social relationships are critical for emotional well-being. The COVID-19 pandemic severely disrupted in-person contact with friends, particularly among young adults, for whom friendships support key developmental goals. In a longitudinal study of U.S. college students ( N = 205; 10,088 observations), we examined how close friendship networks related to emotional well-being during the early months of the pandemic (May-October 2020). Leveragi…

Computer Science (7 works) · Complex Network Analysis Techniques (4 works) · Artificial Intelligence (3 works) · Data mining (3 works) · Law (3 works) · Mathematics (3 works) · Mental Health Research Topics (3 works) · Opinion Dynamics and Social Influence (3 works) · Political science (3 works) · Theoretical Computer Science (3 works)

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