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

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A Structural And Linguistic Approach To Social Roles: An Examination Of Im/politeness And Influence In Online Health Management CommunitiesMastarone, GinniferWords and Networks ‐ Roles, Health, MethodsSocial Influence, Social Media, Health, Politeness TheoryFRI.PM1Social networking sites such as Dailystrength.org represent online communities where patients and caregivers engage in health management. Within thesecommunities, social influence serves as a mechanism for carving the identity, information practices and norms of the community. Structural theories ofinfluence rest on arguments regarding the relationship between social structure and information flows. Particularly, the role of Influentials within diffusionnetworks has come under scrutiny in the literature (e.g. Watts & Dobbs, 2007). However, the sole analysis of structural positions does not take into accountlinguistic processes that are used to decrease social distance, manage identity and define hierarchal roles within online communities. Furthermore, theanalysis of im/politeness strategies outside of the context of the social network does not accurately represent the relational attributes of individual and groupidentity management. Therefore, a community‐based model of im/politeness must be developed to reflect the relational discursive patterns between actors.In this paper, I theorize that an actor's politeness tactics coupled with their structural positioning provides a more holistic explanation of why particular actorsassume certain social roles (e.g. brokers, marginals) within the health management network. I examine message board and blog posts hosted onDailystrength.org for politeness strategies as well as identify social roles through social network analysis. I expect that this research will contribute to ourunderstanding of community formation and leadership within online health communities.A Study On The Synchronization Of World Stock Markets Via Network AnalysisChoi, SeungilNetworks and EconomicsMinimum Spanning Trees, Syncronization, Stock MarketsFRI.PM2In the progress of the recent global financial crisis, we have seen an increased synchronization of world stock markets. With the correlation data among majorstock indices, we construct the minimum spanning trees over time and analyze the dynamics of these minimum spanning trees. First, we ask when anynoticeable increases in returns synchronization of world stock markets occur. Second, we ask if there were any noticeable changes in network indicatorspreceding a financial crisis. Third, can we explain any effects of the G20 on the synchronization of world stock markets via network analysis? Different fromprevious studies on the synchronization of stock markets with GARCH models, this research applies network analysis to explain the characteristics of globalstock market synchronization.
A Technique For Analyzing Ergm Behavior Using Bernoulli GraphsButts, Carter T.Exponential Random GraphsGraph Theory, Exponential‐family Random Graph Models, Analytical Methods, Asymptotics, Spatially‐embedded Networks, Stochastic ProcessesSUN.AM1The use of discrete exponential families has revolutionized the modeling of networks with properties such as heterogeneity and/or complex dependenceamong edges. Such exponential‐family random graph models (or ERGMs) constitute a general language for describing distributions of networks, and areincreasingly widely employed both within and beyond the social sciences. While the generality of the ERGM framework is appealing, few techniques otherthan simulation have been available for studying the behavior of models with non‐trivial edgewise dependence. Random graph models with independentedges (i.e., the Bernoulli graphs), on the other hand, are well‐studied, and a large literature exists regarding their properties. Here, I demonstrate a method forleveraging this knowledge by constructing families of Bernoulli graphs that bound the behavior of general ERGMs in a well‐defined sense. By examining thebehavior of these Bernoulli graph bounds, one can thus analyze many properties of the associated ERGMs. Several applications of this method to the study ofcomplex network models are discussed, including the identification of models that avoid asymptotic degeneracy and robustness testing for large‐scale networkmodels based on geographical covariates.A Text And Network Analysis Of Natural Resource Conflict In SudanVan Holt, Tracy; Johnson, Jeffrey C.Words and Networks ‐ Natural Language Processing, ConflictStructural Equivalence, Affiliation Networks, Conflict, Action And Structure, Web Content Analysis, AfricaWED.PM2Many theories of the causes of societal conflicts concern competition over scarce resources. Natural resources oil—oil, agriculturally based commodities, andecosystem services—appear to be among the sources of conflict among ethnic groups in Sudan. We use automated text and social network analysis of SudanTribune data to test this proposition by examining the extent to which 1) environmental concepts that are reported in the Sudan Tribune are linked to conflictas opposed to possible non‐environmental causes, and 2) whether structurally‐equivalent groups have similar conflict patterns. Finally we discuss the utility ofthis approach for building associational models of this kind from newspaper and other textual sources.
Page 1: Sunbelt XXXIInternational Network f
Page 5 and 6: A Mixed‐method Approach To Subgro
Page 7 and 8: A Novel Hybrid Egocentric‐archiva
Page 9: A Social Network Analysis Of Tsiman
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
Page 59 and 60: 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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