Key players in conservation diffusion: Using social network analysis to identify critical injection points

Abstract Identifying the right stakeholders to engage with is fundamental to ensuring conservation information and initiatives diffuse through target populations. Yet this process can be challenging, particularly as practitioners and policy makers grapple with different conservation objectives and a diverse landscape of relevant stakeholders. Here we draw on social network theory and methods to develop guidelines for selecting ‘key players’ better positioned to successfully implement four distinct conservation objectives: (1) rapid diffusion of conservation information, (2) diffusion between disconnected groups, (3) rapid diffusion of complex knowledge or initiatives, or (4) widespread diffusion of conservation information or complex initiatives over a longer time period. Using complete network data among coastal fishers from six villages in Kenya, we apply this approach to select key players for each type of conservation objective. We then draw on key informant interviews from seven resource management and conservation organizations working along the Kenyan coast to investigate whether the socioeconomic attributes of the key players we identified match the ones typically selected to facilitate conservation diffusion (i.e., ‘current players’). Our findings show clear discrepancies between current players and key players, highlighting missed opportunities for progressing more effective conservation diffusion. We conclude with specific criteria for selecting key stakeholders to facilitate each distinct conservation objective, thereby helping to mitigate the problem of stakeholder identification in ways that avoid blueprint approaches. These guidelines can also be applied in other research and intervention areas, such as community development studies, participatory research, and community intervention.

[1]  Dávid,et al.  Estimating Total Fishing Effort over Tidal to Annual Periods in the Diani- Chale-Gazi Reef Fishery in Kenya , 2008 .

[2]  A. Edmondson Speaking Up in the Operating Room: How Team Leaders Promote Learning in Interdisciplinary Action Teams , 2003 .

[3]  H. Leslie A Synthesis of Marine Conservation Planning Approaches , 2005 .

[4]  Martin G. Everett,et al.  A Graph-theoretic perspective on centrality , 2006, Soc. Networks.

[5]  A. Rapoport Spread of information through a population with socio-structural bias: I. Assumption of transitivity , 1953 .

[6]  J. Bongaarts Population policy options in the developing world. , 1994, Science.

[7]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[8]  M. Newman Clustering and preferential attachment in growing networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  T. McClanahan,et al.  Escape gaps in African basket traps reduce bycatch while increasing body sizes and incomes in a heavily fished reef lagoon , 2013 .

[10]  Mark Bowler,et al.  Effects of selective logging on large mammal populations in a remote indigenous territory in the northern Peruvian Amazon , 2015 .

[11]  G. Marshall,et al.  Understanding and promoting adoption of conservation practices by rural landholders , 2006 .

[12]  C. Folke,et al.  Adaptive Comanagement for Building Resilience in Social–Ecological Systems , 2004, Environmental management.

[13]  Petr Matous,et al.  Exploring dynamic mechanisms of learning networks for resource conservation , 2015 .

[14]  S. Ghoshal,et al.  Social Capital and Value Creation: The Role of Intrafirm Networks , 1998 .

[15]  T. Valente,et al.  Network models of the diffusion of innovations , 1995, Comput. Math. Organ. Theory.

[16]  David B Buller,et al.  A convergent diffusion and social marketing approach for disseminating proven approaches to physical activity promotion. , 2006, American journal of preventive medicine.

[17]  T. McClanahan,et al.  Status of Kenyan Coral Reefs , 1995 .

[18]  F. Berkes Rethinking Community‐Based Conservation , 2004 .

[19]  P. Leung,et al.  When does it pay to cooperate? Strategic information exchange in the harvest of common-pool fishery resources , 2017 .

[20]  T. McClanahan,et al.  Gear‐based management of a tropical artisanal fishery based on species selectivity and capture size , 2004 .

[21]  M. Newman Analysis of weighted networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[23]  Cynthia M. Lakon,et al.  How Correlated Are Network Centrality Measures? , 2008, Connections.

[24]  C. Prell,et al.  Stakeholder Analysis and Social Network Analysis in Natural Resource Management , 2009, Society & Natural Resources.

[25]  Archon Fung,et al.  Deepening Democracy: Institutional Innovations in Empowered Participatory Governance. Edited by Archon Fung and Erik Olin Wright. New York: Verso, 2003. 310p. $60.00 cloth, $22.00 paper , 2004, Perspectives on Politics.

[26]  T. Treue,et al.  Beyond elite capture? Community-based natural resource management and power in Mohammed Nagar village, Andhra Pradesh, India , 2010, Environmental Conservation.

[27]  George D. Haddow,et al.  Introduction to Emergency Management , 2003 .

[28]  Stephen P. Borgatti,et al.  Identifying sets of key players in a social network , 2006, Comput. Math. Organ. Theory.

[29]  T. McClanahan Effects of Fisheries Closures and Gear Restrictions on Fishing Income in a Kenyan Coral Reef , 2010, Conservation biology : the journal of the Society for Conservation Biology.

[30]  F. Pratto The Puzzle of Continuing Group Inequality: Piecing Together Psychological, Social, and Cultural Forces in Social Dominance Theory , 1999 .

[31]  M. A. Beauchamp AN IMPROVED INDEX OF CENTRALITY. , 1965, Behavioral science.

[32]  J. Cinner,et al.  Toward institutions for community-based management of inshore marine resources in the Western Indian Ocean , 2009 .

[33]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994 .

[34]  B. Morales-Nin,et al.  Fish communities associated with FADs , 1999 .

[35]  S. Ehrich,et al.  Estimating the catching efficiency of a 2-m beam trawl for sampling epifauna by removal experiments , 2006 .

[36]  R. Duffy Nature Crime: How We're Getting Conservation Wrong , 2010 .

[37]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[38]  B. Crona,et al.  The role of social networks in natural resource governance: What relational patterns make a difference? , 2009 .

[39]  Robin Teigland,et al.  Transactive memory systems as a collective filter for mitigating information overload in digitally enabled organizational groups , 2013, Inf. Organ..

[40]  B. Crona,et al.  Management of Natural Resources at the Community Level: Exploring the Role of Social Capital and Leadership in a Rural Fishing Community , 2008 .

[41]  S. Borgatti,et al.  The Network Paradigm in Organizational Research: A Review and Typology , 2003 .

[42]  T. Valente,et al.  Accelerating the Diffusion of Innovations Using Opinion Leaders , 1999 .

[43]  J. Castilla,et al.  The management of fisheries and marine ecosystems , 1997 .

[44]  Martin A. Nowak,et al.  Infectious Disease Modeling of Social Contagion in Networks , 2010, PLoS Comput. Biol..

[45]  F. Nunan,et al.  Empowerment and Institutions: Managing Fisheries in Uganda , 2006 .

[46]  B. Crona,et al.  Response to Newman and Dale. 2005. "Network Structure, Diversity, and Proactive Resilience Building: a Response to Tompkins and Adger" Social Networks in Natural Resource Management: What Is There to Learn from a Structural Perspective? , 2006 .

[47]  J. Platteau Monitoring Elite Capture in Community‐Driven Development , 2004 .

[48]  P. Bonacich TECHNIQUE FOR ANALYZING OVERLAPPING MEMBERSHIPS , 1972 .

[49]  T. Hughes,et al.  Linking Social and Ecological Systems to Sustain Coral Reef Fisheries , 2009, Current Biology.

[50]  Steven A. Gray,et al.  What Determines Social Capital in a Social–Ecological System? Insights from a Network Perspective , 2015, Environmental Management.

[51]  Anja Nygren Community-based forest management within the context of institutional decentralization in Honduras , 2005 .

[52]  M. Macy,et al.  Complex Contagions and the Weakness of Long Ties1 , 2007, American Journal of Sociology.

[53]  S. Borgatti,et al.  The centrality of groups and classes , 1999 .

[54]  E. Rogers Diffusion of Innovations , 1962 .

[55]  Martin A. Kjelson,et al.  Catch Efficiencies of a 6.1‐Meter Otter Trawl for Estuarine Fish Populations , 1978 .

[56]  J. Ribot Representation, Citizenship and the Public Domain in Democratic Decentralization , 2007 .

[57]  G. Cumming,et al.  Scale mismatches in social-ecological systems: Causes, consequences, and solutions , 2006 .

[58]  M. Zelen,et al.  Rethinking centrality: Methods and examples☆ , 1989 .

[59]  Naim Kapucu,et al.  Collaborative emergency management: better community organising, better public preparedness and response. , 2008, Disasters.

[60]  T. McClanahan,et al.  Socioeconomic Factors that Affect Artisanal Fishers’ Readiness to Exit a Declining Fishery , 2009, Conservation biology : the journal of the Society for Conservation Biology.

[61]  T. McClanahan,et al.  Trap modification opens new gates to achieve sustainable coral reef fisheries , 2014 .

[62]  V. Rao,et al.  Community Based (and Driven) Development: A Critical Review , 2004 .

[63]  Yannick Rochat,et al.  Closeness Centrality Extended to Unconnected Graphs: the Harmonic Centrality Index , 2009 .

[64]  Jacob Ochiewo,et al.  Changing fisheries practices and their socioeconomic implications in South Coast Kenya , 2004 .

[65]  B. Agarwal ''Bargaining'' and Gender Relations: Within and Beyond the Household , 1997 .

[66]  David Zilberman,et al.  Adoption of Agricultural Innovations in Developing Countries: A Survey , 1985, Economic Development and Cultural Change.

[67]  Jie Tang,et al.  Learning to predict reciprocity and triadic closure in social networks , 2013, TKDD.

[68]  Anil Graves,et al.  Who's in and why? A typology of stakeholder analysis methods for natural resource management. , 2009, Journal of environmental management.

[69]  Barbara Wejnert Integrating models of diffusion of innovations: a Conceptual Framework. , 2002 .

[70]  F. Cleaver Paradoxes of participation: questioning participatory approaches to development , 1999 .

[71]  H. Glaesel Fishers, parks, and power : the socio-environmental dimensions of marine resource decline and protection on the Kenya Coast , 1997 .

[72]  Gerardo Iñiguez,et al.  Complex contagion process in spreading of online innovation , 2014, Journal of The Royal Society Interface.

[73]  S. Borgatti,et al.  Network Measures of Social Capital , 2012 .

[74]  Yu-Hsin Liu,et al.  keyplayer: An R Package for Locating Key Players in Social Networks , 2016, R J..

[75]  T. Valente Social network thresholds in the diffusion of innovations , 1996 .

[76]  T. McClanahan,et al.  Differences in livelihoods, socioeconomic characteristics, and knowledge about the sea between fishers and non-fishers living near and far from marine parks on the Kenyan coast , 2010 .

[77]  尾高 煌之助 L.ナブセス・G.F.レイ編「新製造工程の伝播--国際比較的研究」(L.Nabseth and G.F.Ray,eds.;The Diffusion of New Industrial Processes:An International Study,1974) , 1978 .

[78]  John Skvoretz,et al.  Node centrality in weighted networks: Generalizing degree and shortest paths , 2010, Soc. Networks.

[79]  Jie Gao,et al.  Complex contagion and the weakness of long ties in social networks: revisited , 2013, EC '13.

[80]  Samuel Schmidt,et al.  The political network in Mexico , 1996 .

[81]  T. McClanahan,et al.  Heterogeneity in fishers' and managers' preferences towards management restrictions and benefits in Kenya , 2012, Environmental Conservation.

[82]  A. Arias Understanding and managing compliance in the nature conservation context. , 2015, Journal of environmental management.

[83]  T. McClanahan,et al.  Transitions toward co-management: The process of marine resource management devolution in three east African countries , 2012 .

[84]  Gueorgi Kossinets,et al.  Empirical Analysis of an Evolving Social Network , 2006, Science.

[85]  A. Rapoport Spread of information through a population with socio-structural bias: II. Various models with partial transitivity , 1953 .

[86]  T. McClanahan,et al.  A framework for adaptive gear and ecosystem‐based management in the artisanal coral reef fishery of Papua New Guinea , 2008 .

[87]  D. Bellwood,et al.  Projections of the impacts of gear‐modification on the recovery of fish catches and ecosystem function in an impoverished fishery , 2015 .

[88]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[89]  S. Shafir,et al.  Causes and consequences of sea urchin abundance and diversity in Kenyan coral reef lagoons , 1990, Oecologia.

[90]  H. Alidina Local Level Fisheries Management in Diani-Chale, Kenya: Current Status and Future Directions , 2005 .

[91]  P. V. Marsden,et al.  NETWORK DATA AND MEASUREMENT , 1990 .

[92]  D. Obura,et al.  Assessment of Fisherfolk Organizations and Beach Management Units (BMU) in the Management of Fishery Resources in Diani-Chale, Southern Kenya , 2008 .

[93]  Edwin Mansfield,et al.  The Diffusion of New Industrial Processes: An International Study , 1975 .

[94]  D. Heales,et al.  The impact of turtle excluder devices and bycatch reduction devices on diverse tropical marine communities in Australia's northern prawn trawl fishery , 2006 .

[95]  M. Kilduff,et al.  The ties that lead: A social network approach to leadership , 2005 .

[96]  P. Blaikie,et al.  Forests, people and power : the political ecology of reform in South Asia , 2007 .

[97]  Stephen P. Borgatti,et al.  Centrality and network flow , 2005, Soc. Networks.

[98]  Alexander Conley,et al.  Evaluating Collaborative Natural ResourceManagement , 2003 .

[99]  PingSun Leung,et al.  Social networks and environmental outcomes , 2016, Proceedings of the National Academy of Sciences.

[100]  Georgina M. Mace,et al.  Whose conservation? , 2014, Science.

[101]  C. Lundquist,et al.  Strategies for Successful Marine Conservation: Integrating Socioeconomic, Political, and Scientific Factors , 2005 .

[102]  F. Berkes,et al.  Adaptive co-management for social–ecological complexity , 2009 .

[103]  D. Mergler,et al.  Network Approach for Analyzing and Promoting Equity in Participatory Ecohealth Research , 2005, EcoHealth.

[104]  Victoria A. Beard,et al.  Community Driven Development, Collective Action and Elite Capture in Indonesia , 2007 .

[105]  J. Pretty Social Capital and the Collective Management of Resources , 2003, Science.

[106]  Christina C. Hicks,et al.  A social–ecological approach to conservation planning: embedding social considerations , 2013 .

[107]  M. Mulrennan,et al.  Developing MPA Effectiveness Indicators: Comparison Within and Across Stakeholder Groups and Communities , 2010 .

[108]  Philippa J. Cohen,et al.  Social networks supporting governance of coastal ecosystems in Solomon Islands , 2012 .

[109]  Carter T. Butts,et al.  Social Network Analysis with sna , 2008 .

[110]  F. Berkes,et al.  Co-management: concepts and methodological implications. , 2005, Journal of environmental management.

[111]  Thomas W. Valente,et al.  The stability of centrality measures when networks are sampled , 2003, Soc. Networks.

[112]  Mark S. Granovetter Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[113]  E. Ostrom A General Framework for Analyzing Sustainability of Social-Ecological Systems , 2009, Science.

[114]  Eve McDonald-Madden,et al.  Is conservation triage just smart decision making? , 2008, Trends in ecology & evolution.

[115]  Christina C. Hicks,et al.  Malthusian overfishing and efforts to overcome it on Kenyan coral reefs. , 2008, Ecological applications : a publication of the Ecological Society of America.