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

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Spatial Impact On Social Network Diffusion: The Case Of Frame Convention On Tobacco ControlOh, Yoonkyung; Shin, HeesungInnovation, Diffusion, and the Adoption of TechnologyDiffusion, International Networks, GeographyWED.PM1The success of implementing public policy greatly depends on the diffusion of the policy decision and the consequential behavioral changes. In addition to thesocial network characteristics of the volume of communication or the brokerage, various other factors affect the diffusion of policy and behavior. Especially atthe international level, political preferences or socioeconomic status of the nations need to be considered. One of the critical factors is the geographicalcloseness. Since geographical adjacency often explains the similarity in the environmental conditions among the nations, the concepts of the policy might beeasily applied in the adjacent countries. Or, the closeness may increase the volume of communication, which leads the diffusion of policy. This study is toinvestigate the impact of geographical factors on the policy diffusion at international level, with the case of Framework Convention on Tobacco Control (FCTC).FCTC is the international treaty initiated by World Health organization (WHO) in 2003, to prevent tobacco related death and diseases. FCTC adopting countriesare required to sign and ratify the treaty, followed by encouragement to implement legislative enforcements. By 2009, there were over 164 countries thatratified the treaty. Wipfil, Fujimoto, and Valente (2010) found that demographic (higher income and more related NGOs), and social network variables areassociated with the adoption status of FCTC. While Wipfil et al. considered the reverse distance between Country capitals as geographical variables, our studyexpands the model by examining the spatial factors, using Geographically Weighted Regression (GWR), a spatially calibrated regression model embedded inArcGIS 9.3. The necessary network variables are calculated with UCINET. By introducing the GWR model in examining social network diffusion, this study maycontribute more concrete approach to measure the spatial variables.Specification And Estimation Of A Relational Event Model For Two‐mode Networks With An Application To Organizational Problem SolvingTonellato, Marco; Conaldi, Guido; Lomi, Alessandro ; Quintane, EricEvent‐based networksTwo‐mode Networks, Relational Events, Open Source, Social MechanismsFRI.AM2We specify and estimate a relational event model for two‐mode networks using data that we collected on problem‐solving activities within a community ofFree/Open Source Software (F/OSS) developers. Data pertain to a team that included a total of 904 volunteer developers involved at different times in theproduction of a F/OSS web browser. We reconstructed the two‐mode network generated by problem‐solving activities undertaken by the software developerson identified software problems (or “bugs”). Each network tie records a voluntary action taken by a developer to engage a specific problem observed duringone of the release cycles undergone by the software. The relational event model enables us to examine across different time frames the regularities in actionsequences collectively undertaken by developers. Here, the model uses past action sequences towards a given problem to predict its resolution. We discussthe possible implications of our preliminary results for views of organizations as structured social settings that encourage the interaction between problems,solutions and decision makers. By doing so, we aim to provide further insights into the social micro‐mechanisms that lead to the endogenous emergence ofroutinized collective action.
Static Visualization Of Network DynamicsBrandes, Ulrik; Nick, BoboNetwork DynamicsVisualization, Evolution, Diagrams, Longitudinal Social NetworkWED.PM2Visual exploration is used in particular to complement and inform modeling and analysis of longitudinal networks. Depending on the type of media available,animation and small multiples of intermediate states appear to be the most common forms of graphical representation. We present an alternative approach inwhich Tufte's sparklines, Gestalt theory, and matrix representations are combined to design static and compact diagrams. We illustrate on some realistic andwell‐known cases how such designs leverage human pattern‐recognition capabilities to spot patterns in time‐varying network data.
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Sunbelt XXXIInternational Network f
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A Mixed‐method Approach To Subgro
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A Novel Hybrid Egocentric‐archiva
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A Social Network Analysis Of Tsiman
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A Technique For Analyzing Ergm Beha
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Actor Heterogeneity In Dynamic Infl
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An Agent‐based Approach To Evalua
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Anxious Solitude And Social Disinte
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Are You Getting What You Came For?
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Association Of Social Networks, Psy
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Birds Of The Feather Flock Together
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Building Political Echo Chambers: H
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Centrality, Structural Holes And St
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Coalitions In Exchange Networks: So
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Collaborating Through Networks: The
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Collaboration For Collective Action
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Collaborators Or Friends: Longitudi
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Comparing Local Configurations In S
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Cooperation Dynamics In Networks Cu
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Cross‐sectional Approximations To
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Designing Policy Tools For Building
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Discovering Jewish NetworksKadushin
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Dyadic Reciprocity And The Emergenc
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Dynamics Of Scientific Collaboratio
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Efficient Structures For Innovative
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Entrepreneurship And Local Embedded
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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
Page 109 and 110: Multilevel Longitudinal Analysis Fo
Page 111 and 112: Multiplexity, Heterogeneity And Ove
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Page 115 and 116: Network Influence On Adolescent Alc
Page 117 and 118: Network Structure And A Proposed
Page 119 and 120: Networked Play For Health: Promotin
Page 121 and 122: Networks, Collective Action, And St
Page 123 and 124: Online And Offline Ego‐centered N
Page 125 and 126: Organizational Embeddedness And Str
Page 127 and 128: Peer Effects In Migrants’ Remitta
Page 129 and 130: Personal Influence Among Core Ties
Page 131 and 132: Perspectives To Soldiers' Professio
Page 133 and 134: Predicting Survival From Social Net
Page 135 and 136: R&D Networks, Knowledge Transfer An
Page 137 and 138: Reasoning About Large‐scale Socia
Page 139 and 140: Relational Compensation In Entrepre
Page 141 and 142: Representation Of Complex Cognitive
Page 143 and 144: Road Networks And Insurgent Violenc
Page 145 and 146: School/community Policing‐‐mixe
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Page 149 and 150: Small EU Member States' Export Patt
Page 151 and 152: Social Constraints, Agency, And Ins
Page 153 and 154: Social Network Analysis In Multiple
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Page 157 and 158: Social Networks And Sustainability
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Page 163 and 164: Structure And Consistency: Assessme
Page 165 and 166: Teaching Undergraduates Social Netw
Page 167 and 168: The Development Of Japanese Interlo
Page 169 and 170: The Effects Of Social Networks, Pro
Page 171 and 172: The Formation Of Social Capital And
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Page 175 and 176: The Influential Power Of eWOM Distr
Page 177 and 178: The Paradox Of Connection: Social N
Page 179 and 180: The Return Of Quality Of Social Cap
Page 181 and 182: The Small World Phenomena Of Patent
Page 183 and 184: The Structure Of Consensus: Cohesio
Page 185 and 186: Time Heterogeneity In Stochastic Ac
Page 187 and 188: Two‐mode Projection And Data Loss
Page 189 and 190: Understanding The Different Facets
Page 191 and 192: Using A Web‐based Survey To Elici
Page 193 and 194: Using Social Network Analysis To Ma
Page 195 and 196: Using Weak‐ties For Problem Solvi
Page 197 and 198: Viable And Non‐viable Models Of C
Page 199 and 200: Voting Power CentralityCarnegie, Je
Page 201 and 202: Who Shares? Exploration Of Manageri
Page 203 and 204: Worlds Apart ‐ Network Emergence
Page 205 and 206: Aupetit, Michael ‐ CEA LIST ‐ m
Page 207 and 208: Borgatti, Steve ‐ U of Kentucky,
Page 209 and 210: 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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