Sunbelt XXXI International Network for Social Network ... - INSNA

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A Proposal For A Network Science Revolution Through Angle Measurement And VisualizationMartinez‐Garcia, Orlando I.VisualizationMeasures, Network Dynamics, Triads, Geometry, Network Visualization, Dyadic AnalysisWED.PM2Classical Network Analysis methodology has focused on mapping nodal and directed or undirected edge relations of power based on their size, form, length,color and closeness. However, I have noticed a common omission that has been generalized within the field of network science: the measurement of anglesand their visual representation as they evolve from single nodes to dyads and triads as basic kernels for larger networks triadic dynamics as networks getlarger. The existing literature exploits triads focusing on the role of the node and giving weight to the edges without using an elemental geometric principle,angle measurement. In that process, network graphs loose a spatial‐time sequence dimension that triadic relations represented through their anglemeasurement based on power or strength of things being measured would generate through different triangles that entangled together, would produce morerigorous, faithful and holistic structural models and maps. I will develop perspectives on why angle measurement is a better tool for multidimensionalweighted relationship graph and why angle measurement in triads would be revolutionary in network topology and visualization.A Revisited Social Network Analysis Using Author Co‐citation DataKim, HyunjungKnowledge NetworksCitation Networks, Social Network Analysis, Citation AnalysisTHURS.AM2This study will be an extension of a previous research on author co‐citation using social network analysis. The research examined the social network of scholarsin the field of Communication by analyzing author co‐citation patterns. A matrix containing the number of documents cited by pairs of authors is used for socialnetwork analysis of scholars on the editorial board of Journal of Communication, one of the journals published by the International Communication Association(ICA). Author co‐citation data is retrieved from Social Science Citation Index (SSCI) and UCInet is used to analyze the data and to create a network map of thescholars, which helps to visualize the knowledge structure of the communication field by identifying groups of authors who are more central than others. Inaddition, the research tries to find out if there are any factors, such as author’s educational background, current affiliation, or subject specialty, influencing theknowledge structure. The previous study used author co‐citation data collected until 2008, so this study will be used to compare the current author co‐citationpattern with data from the previous research to see if there’s any change over time.
A Social Network Analysis Of Tsimane’ Market IntegrationSchultz, Alan F.; Tallman, Paula S.; Monteban, Madalena; Bond, Megan; Goldstein, Ruth; Bernstein, AlissaOverlapping Personal NetworksWhole Networks, Personal Networks, Egonet, OverlappingSAT.AM1The Tsimane’ of lowland Bolivia live relatively egalitarian lives but are beginning to face increasing integration into markets and the corollary threat of growinginequalities. These inequalities may be reflected in the social structure of Tsimane’ communities. This project used a social network approach to understandthe variable distribution of market integration within and between communities. There were two phases to this process. First, three respondents within acommunity were asked to evaluate the ties between all unique pairs of community members. I examine the extent to which these assessments agreed andcombined them into one whole network. In the whole network those that were on the periphery of the network were individuals with higher marketintegration. For a second study, I conducted 29 Egonet interviews across two villages, half the respondents provided 25 alters and half 8 alters. I combinedthese personal networks into one whole network using the overlap of names and personal attributes. My analysis will show how these overlapping personalnetworks reflect the whole network structure of the communities and common alters on the periphery and between the villages.A Social Network Perspective On The Quantity Theory Of Money: A First ExplorationDekker, DavidNetworks and EconomicsEconomic NetworksFRI.PM2Social network theory has much to offer in bridging the micro‐macro gap in economics. This paper explores some ideas about possibilities to link macroeconomicvariables to social network structures. Specifically, attention is focused on the implications of degree distributions in trade networks on the velocityof money variable in the monetarist Quantity Theory of Money. Velocity is defined as distance over time, and velocity of money is the average frequency amonetary unit is used in a given time unit. In network terms the “average frequency a monetary unit is used” (v) translates into the walks with average lengthv. In this paper it is argued that it matters for economies through what structures walks are traversed. A walk of length v that includes 2 nodes has differenteconomic implications than those that include v+1 nodes. Furthermore, walks of money often are dependent on the trade network structure, i.e. v‐step linksand 1‐step links are dependent and a function of degree distributions. In economic terms this implies that micro individual relational behavior (1‐step linking)has a direct effect on the (macro) quality of the velocity of money.
Page 1: Sunbelt XXXIInternational Network f
Page 5 and 6: A Mixed‐method Approach To Subgro
Page 7: A Novel Hybrid Egocentric‐archiva
Page 11 and 12: A Technique For Analyzing Ergm Beha
Page 13 and 14: Actor Heterogeneity In Dynamic Infl
Page 15 and 16: An Agent‐based Approach To Evalua
Page 17 and 18: Anxious Solitude And Social Disinte
Page 19 and 20: Are You Getting What You Came For?
Page 21 and 22: Association Of Social Networks, Psy
Page 23 and 24: Birds Of The Feather Flock Together
Page 25 and 26: Building Political Echo Chambers: H
Page 27 and 28: Centrality, Structural Holes And St
Page 29 and 30: Coalitions In Exchange Networks: So
Page 31 and 32: Collaborating Through Networks: The
Page 33 and 34: Collaboration For Collective Action
Page 35 and 36: Collaborators Or Friends: Longitudi
Page 37 and 38: Comparing Local Configurations In S
Page 39: Cooperation Dynamics In Networks Cu
Page 42: Cross‐sectional Approximations To
Page 45 and 46: Designing Policy Tools For Building
Page 47 and 48: Discovering Jewish NetworksKadushin
Page 49 and 50: Dyadic Reciprocity And The Emergenc
Page 51 and 52: Dynamics Of Scientific Collaboratio
Page 53 and 54: Efficient Structures For Innovative
Page 55 and 56: Entrepreneurship And Local Embedded
Page 57 and 58: Exploring Knowledge Transfer In Vir
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Extracting Leadership And Influence
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Failing To See Or Failing To Seize
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Flows Of Cultural Consecration: Who
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Fostering Support For Innovative Pr
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From Whitehall To Leadenhall: Busin
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Game Modeling In Public Organizatio
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Generosity As A Public Good: Hetero
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Harvard Catalyst Profiles: An Open
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Homophily And Propinquity In Social
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How Far Our Network Perceptions Are
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Impact Of Team Faultlines On Socio
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Individualization As Driving Force
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Influences Of Return Migration On I
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Innovation Through ImitationGladsto
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Interplay Between Individual And Gr
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Is It Just Me, Or Are You Stressed?
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Knowledge Sharing In Non‐knowledg
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Link‐trace Sampling For Social Ne
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Lotico The Semantic Social NetworkN
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Mapping Networks: Spatial Visualiza
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Markets Or Networks: Rural Househol
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Measurement Error In Network Analys
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Micro‐mobilization In A Scientifi
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Mixing In Large Populations: Some N
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Modeling Real World Interpersonal N
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Multilevel Longitudinal Analysis Fo
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Multiplexity, Heterogeneity And Ove
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Network Centralization And The Diss
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Network Influence On Adolescent Alc
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Network Structure And A Proposed
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Networked Play For Health: Promotin
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Networks, Collective Action, And St
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Online And Offline Ego‐centered N
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Organizational Embeddedness And Str
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Peer Effects In Migrants’ Remitta
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Personal Influence Among Core Ties
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Perspectives To Soldiers' Professio
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Predicting Survival From Social Net
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R&D Networks, Knowledge Transfer An
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Reasoning About Large‐scale Socia
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Relational Compensation In Entrepre
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Representation Of Complex Cognitive
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Road Networks And Insurgent Violenc
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School/community Policing‐‐mixe
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Sex And Drug HIV‐risk Networks Am
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Small EU Member States' Export Patt
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Social Constraints, Agency, And Ins
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Social Network Analysis In Multiple
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Social Network Resilience Given Inf
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Social Networks And Sustainability
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Social Snacking: Friends’ Influen
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Static Visualization Of Network Dyn
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Structure And Consistency: Assessme
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Teaching Undergraduates Social Netw
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The Development Of Japanese Interlo
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The Effects Of Social Networks, Pro
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The Formation Of Social Capital And
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The Impact Of Different Non‐respo
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The Influential Power Of eWOM Distr
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The Paradox Of Connection: Social N
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The Return Of Quality Of Social Cap
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The Small World Phenomena Of Patent
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The Structure Of Consensus: Cohesio
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Time Heterogeneity In Stochastic Ac
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Two‐mode Projection And Data Loss
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Understanding The Different Facets
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Using A Web‐based Survey To Elici
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Using Social Network Analysis To Ma
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Using Weak‐ties For Problem Solvi
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Viable And Non‐viable Models Of C
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Voting Power CentralityCarnegie, Je
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Who Shares? Exploration Of Manageri
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Worlds Apart ‐ Network Emergence
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Aupetit, Michael ‐ CEA LIST ‐ m
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Borgatti, Steve ‐ U of Kentucky,
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Chiang, Yen‐sheng ‐ University
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De salabert, Arturo ‐ Universidad
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Everett, Martin ‐ University of M
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Garayev, Vener ‐ University of Ce
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Hahn, Christian stadil ‐ Enso Con
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Houtman, Leonie ‐ VU University,
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Kaminski, Jermain ‐ Massachusetts
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La pointe, Allison ‐ Minnesota De
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Luque, John ‐ Georgia Southern Un
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Mo, Guang ying ‐ University of To
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Oh, Yoon ‐ USC ‐ yoonkyuo@usc.e
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Portales, Luis ‐ Tecnológico de
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Samila, Sampsa ‐ Brock University
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Shoham, David ‐ Loyola University
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Strully, Kate ‐ University at Alb
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Valente, Annie ‐ UC‐San Francis
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Welch, Eric ‐ University of Illin
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Zhu, Jonathan ‐ City University o
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