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

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A Measure Of Acuity Of Structural Hole PerceptionSoltis, Scott M.; Borgatti, Stephen P.; Mehra, AjayKnowledge NetworksMeasures, Structural Holes, Brokerage, Cognitive Social Structures, Cognitive NetworksTHURS.AM1A number of studies suggest that an ego network rich in structural holes confers certain advantages to ego. However, some of the benefits of structural holesmay be realized only if ego is aware of the holes – otherwise they may go unexploited. However, individuals vary in their awareness of the structural featuresof their ego network. In this paper, we present a measure of the extent of congruence between the structural holes in a person’s perceived ego network andthe holes in the actual network around them. We illustrate the measure on a number of empirical datasets.
A Mixed‐method Approach To Subgroup IdentificationWeare, Christopher; Lichterman, PaulQualitative and Mixed Method Network studiesMixed Methods, Community Detection, Civil SocietySAT.AM1We combine ethnographic and social network methods to identify subgroups within the large field of organizations that address housing problems in LosAngeles. The formation of, maintenance of, and interaction between subgroups concern many scholars of civil society, informal organizations, and scientificinnovation, to name just a few relevant areas of research. Yet there is little consensus on how to define or use the notion “subgroup.” Existing literatures treatit in terms of multiple dimensions: 1) instrumental exchange relations that connect actors, 2) affective bonds or the salience and strength of ties betweenmembers, and 3) culture affinity, or the degree to which member share common cultural values. Currently, different methods for identifying subgroups withina social network produce different results, and social network data typically cannot address all of the dimensions of belonging. We propose an iterative,mixed‐method methodology. Ethnography is used to investigate organizational style‐‐a concept that denotes different, patterned ways that members drawboundaries, sustain bonds with other members, and value or devalue speech. Organizational styles are then used to improve network‐based subgroupmappings. In turn, the improved subgroup mappings are employed to extend the predictive power of ethnographic observations which otherwise remainmore limited. In this way we begin to reconstruct relations between subgroups across an entire field.A Multi‐theoretical, Multi‐level Model Of High Tempo Collaboration In An Online CommunityKeegan, Brian; Gergle, Darren; Contractor, NoshirCollaboration, coordination and cooperationERGM/P*, Multilevel Analysis, Wikipedia, Affiliation Networks, Expert, Co‐authorship NetworkSAT.AM2The coauthorship of Wikipedia’s breaking news articles operate in a volatile information environment without centralized authority. We use the literature onemergent groups such as disaster response teams and knowledge sharing in online communities to construct a multi‐theoretical, multi‐level model of hightempo, online collaboration. By applying exponential random graph models (ERGMs) to an affiliation network of Wikipedia articles about airline disasters, weexamine how endogenous attributes such as the task characteristics of articles created immediately following an event and editors’ expertise interact to alterthe exogenous coauthorship structure. Our analysis suggests editors’ expertise and contribution history influences their propensity to collaborate on breakingarticles more than the properties of the article or other collaborators. These results have implications for understanding how expertise mediates teamassembly in high tempo contexts absent central coordination and how individual level decisions to contribute affect macro‐level coordination structures.
Page 1: Sunbelt XXXIInternational Network f
Page 7 and 8: A Novel Hybrid Egocentric‐archiva
Page 9 and 10: A Social Network Analysis Of Tsiman
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
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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
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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
Page 217 and 218:
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
Page 231 and 232:
Portales, Luis ‐ Tecnológico de
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Samila, Sampsa ‐ Brock University
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Shoham, David ‐ Loyola University
Page 237 and 238:
Strully, Kate ‐ University at Alb
Page 239 and 240:
Valente, Annie ‐ UC‐San Francis
Page 241 and 242:
Welch, Eric ‐ University of Illin
Page 243:
Zhu, Jonathan ‐ City University o
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