Rural social work is instrumental in addressing grassroots social issues and fostering rural community development, and an understanding of network structure can enhance service efficiency and quality. The research explores the effectiveness of rural social work by employing social network analysis within the project “Seven Colors of Light” in Village M, County A, China. The study analyzes interaction patterns among government agencies, professional social workers, and other stakeholders, emphasizing the need for an understanding of network structures to enhance service delivery efficiency and quality.
Findings
The findings underscore that government agencies hold central positions in the network. This centrality sometimes results in the marginalization of certain groups; however, it does not impede their participation or diminish the effectiveness of social workers who play a crucial bridging role in fostering collaboration. The network is described as dynamic and hierarchical, illustrating structured service delivery that is enabled by sustained efforts and the strategic use of resources and technology.
Applications
Social Network Analysis offers a rigorous structural approach to rural social work, enabling precise identification of key nodes and resource pathways, which optimizes intervention strategies and strengthens collaborative network effectiveness. It recommends that government agencies should develop more open communication mechanisms to enhance interactions and resource sharing. Additionally, future research should explore the integration of hierarchical management standards with the preservation of professional independence in social work to guarantee sustainable rural community well-being.
AlstonM. (2020). Research for social workers: An introduction to methods. Routledge.
2.
BarghusenR.SattlerC.BernerR.MatzdorfB. (2022). More than spatial coordination–how Dutch agricultural collectives foster social capital for effective governance of agri-environmental measures. Journal of Rural Studies, 96, 246–258. https://doi.org/10.1016/j.jrurstud.2022.10.023
3.
Belso-MartínezJ. A.Mas-TurA.SánchezM.Lopez-SanchezM. J. (2020). The COVID-19 response system and collective social service provision. Strategic network dimensions and proximity considerations. Service Business, 14(1), 387–411. https://doi.org/10.1007/s11628-020-00421-w
4.
Benítez-AndradesJ. A.Fernández-VillaT.BenavidesC.Gayubo-SerrenesA.MartínV.Marqués-SánchezP. (2021). A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence. Scientific Reports, 11(1), 14877. https://doi.org/10.1038/s41598-021-94383-2
BringmannL. F.ElmerT.EpskampS.KrauseR. W.SchochD.WichersM.SnippeE. (2019). What do centrality measures measure in psychological networks?Journal of Abnormal Psychology, 128(8), 892–903. https://doi.org/10.1037/abn0000446
8.
BrinkerhoffJ. M.BrinkerhoffD. W. (2002). Government–nonprofit relations in comparative perspective: Evolution, themes and new directions. Public Administration and Development: The International Journal of Management Research and Practice, 22(1), 3–18. https://doi.org/10.1002/pad.202
9.
BurnellP. J.RaknerL.RandallV. (2017). Politics in the developing world. Oxford University Press.
10.
CamachoD.Panizo-LLedotA.Bello-OrgazG.Gonzalez-PardoA.CambriaE. (2020). The four dimensions of social network analysis: An overview of research methods, applications, and software tools. Information Fusion, 63(2), 88–120. https://doi.org/10.1016/j.inffus.2020.05.009
11.
Castro-ArceK.VanclayF. (2020). Transformative social innovation for sustainable rural development: An analytical framework to assist community-based initiatives. Journal of Rural Studies, 74(2), 45–54. https://doi.org/10.1016/j.jrurstud.2019.11.010
12.
ChenG.KanferR. (2006). Toward a systems theory of motivated behavior in work teams. Research in Organizational Behavior, 27(2), 223–267. https://doi.org/10.1016/S0191-3085(06)27006-0
13.
ChoiJ.YiS.LeeK. C. (2011). Analysis of keyword networks in MIS research and implications for predicting knowledge evolution. Information & Management, 48(8), 371–381. https://doi.org/10.1016/j.im.2011.09.004
14.
CrabtreeS. A.HusainF. (2016). Islam and social work: Culturally sensitive practice in a diverse world. Policy Press.
15.
DuM.LiuW.HaoY. (2021). Spatial correlation of air pollution and its causes in Northeast China. International Journal of Environmental Research and Public Health, 18(20), 10619. https://doi.org/10.3390/ijerph182010619
16.
DühringL.ZerfassA. (2021). The triple role of communications in agile organizations. International Journal of Strategic Communication, 15(2), 93–112. https://doi.org/10.1080/1553118X.2021.1887875
17.
DukemanR. (2021). Foreign Policy, Informal Practice: Means-Ends Decoupling in Modern American Diplomacy.
FanJ.XiaoZ. (2021). Analysis of spatial correlation network of China’s green innovation. Journal of Cleaner Production, 299(22), 126815. https://doi.org/10.1016/j.jclepro.2021.126815
20.
FligsteinN. (2021). Organizations: Theoretical debates and the scope of organizational theory. In Handbook of classical sociological theory (pp. 487–506). Springer.
FroehlichD. E.Van WaesS.SchäferH. (2020). Linking quantitative and qualitative network approaches: A review of mixed methods social network analysis in education research. Review of Research in Education, 44(1), 244–268. https://doi.org/10.3102/0091732X20903311
23.
GabelS. G.NingningYang. (2022). Transnational advocacy at the united nations for social workers. Journal of Human Rights and Social Work, 7(4), 417–427. https://doi.org/10.1007/s41134-022-00216-1
24.
GermainC.KnightC. (2020). The life model of social work practice: Advances in theory and practice. Columbia University Press.
25.
GreenwoodD. J.LevinM. (2006). Introduction to action research: Social research for social change. Sage publications.
26.
GuoY.LiuY. (2022). Sustainable poverty alleviation and green development in China’s underdeveloped areas. Journal of Geographical Sciences, 32(1), 23–43. https://doi.org/10.1007/s11442-021-1932-y
27.
HaythornthwaiteC. (1996). Social network analysis: An approach and technique for the study of information exchange. Library & Information Science Research, 18(4), 323–342. https://doi.org/10.1016/S0740-8188(96)90003-1
28.
HeS.WangW. (2023). Social resources transfer program under China’s targeted poverty alleviation strategy: Rural social structure and local politics. Journal of Contemporary China, 32(142), 686–703. https://doi.org/10.1080/10670564.2022.2109844
29.
JacobsD. B.CramerL. A. (2017). Applying information network analysis to fire-prone landscapes: implications for community resilience. Ecology and Society, 22(1). https://doi.org/10.5751/ES-09119-220152
30.
JainS.SinhaA. (2023). Tribec: Identifying influential users on social networks with upstream and downstream network centrality. International Journal of General Systems, 52(3), 275–296. https://doi.org/10.1080/03081079.2023.2194642
31.
JaworskiB. J.StathakopoulosV.KrishnanH. S. (1993). Control combinations in marketing: Conceptual framework and empirical evidence. Journal of Marketing, 57(1), 57–69. https://doi.org/10.1177/002224299305700104
32.
KajiitaR. M.Kang’etheS. M. (2023). Creating alternative interventions in social work to promote socio-economic development in South Africa: Lessons from selected social enterprises. International Social Work, 66(2), 342–356. https://doi.org/10.1177/0020872820972463
33.
KelliherD. (1997). The Chinese debate over village self-government. The China Journal, 37, 63–86. https://doi.org/10.2307/2950218
34.
KerivelA. (2013). Actors interaction in organisations for integration: Dependency, strategy and misappropriation. The relationship between women from working-class area and institutions. Autonomie Locali e Servizi Sociali, 36(1), 55–74. https://doi.org/10.1447/74397
35.
KlijnE.-H.KoppenjanJ. (2016). The shift toward network governance: Drivers, characteristics and manifestations. In Theory and practice of public sector reform (pp. 158–177). Routledge.
36.
KoopmansM. E.RoggeE.MettepenningenE.KnickelK.ŠūmaneS. (2018). The role of multi-actor governance in aligning farm modernization and sustainable rural development. Journal of Rural Studies, 59(3), 252–262. https://doi.org/10.1016/j.jrurstud.2017.03.012
LiQ.LvS.CuiJ.LiuY.ChenZ. (2024). Research on the public environment renewal of traditional villages based on the social network analysis method. Sustainability, 16(3), 1006. https://doi.org/10.3390/su16031006
39.
LiY.WestlundH.LiuY. (2019). Why some rural areas decline while some others not: An overview of rural evolution in the world. Journal of Rural Studies, 68(4), 135–143. https://doi.org/10.1016/j.jrurstud.2019.03.003
40.
MarsigliaF. F.KulisS. S.Lechuga-PeñaS. (2021). Diversity, oppression, and change: Culturally grounded social work. Oxford University Press.
41.
MaulanaI. N. H.WardahT. F. (2023). Fostering community resilience through social capital. Journal of Transformative Governance and Social Justice, 1(1), 1–10. https://doi.org/10.26905/j-tragos.v1i1.9229
42.
MooreO. A.SusskindA. M.MargolinD. (2023). Dynamic resource-acquisition strategies: Analysis of survivor betweenness centrality relationships after downsizing. Journal of Occupational and Organizational Psychology, 96(2), 378–396. https://doi.org/10.1111/joop.12418
43.
OhY.LeeK. (2022). External control mechanisms and red tape: Testing the roles of external audit and evaluation on red tape in quasi-governmental organizations. International Review of Administrative Sciences, 88(2), 355–372. https://doi.org/10.1177/0020852320974097
44.
OldhamS.FulcherB.ParkesL.Arnatkevic˘iūtėA.SuoC.FornitoA. (2019). Consistency and differences between centrality measures across distinct classes of networks. PLoS One, 14(7), e0220061. https://doi.org/10.1371/journal.pone.0220061
45.
PardeckJ. T. (1988). An ecological approach for social work practice. Journal of Soclology & Social Welfare, 15(2), 133. https://doi.org/10.15453/0191-5096.1855
46.
ReevesS.LewinS.EspinS.ZwarensteinM. (2011). Interprofessional teamwork for health and social care. John Wiley & Sons.
47.
RinaldiA.SpadavecchiaA. (2023). The banking-industry relationship in Italy: Large national banks and small local banks compared (1913–1936). In Bank-Industry versus stock market-industry relationships (pp. 112–130). Routledge.
48.
RockenbauchT.SakdapolrakP. (2017). Social networks and the resilience of rural communities in the Global South: a critical review and conceptual reflections. Ecology and Society, 22(1). https://doi.org/10.5751/ES-09009-220110
49.
RodriguesF. A. (2019). Network centrality: An introduction. In A mathematical modeling approach from nonlinear dynamics to complex systems (pp. 177–196). Springer.
SenC.ArunK.OkunO. (2023). Organizational memory: A qualitative research study on a multi-cultural organization. Kybernetes, 52(4), 1528–1551. https://doi.org/10.1108/K-08-2021-0783
52.
SharmaP. (2018). Role of civil society organizations in reinforcing rural–urban linkages in north-eastern India. International Journal of Rural Management, 14(1), 39–68. https://doi.org/10.1177/0973005218754439
53.
SimonB. L. (1994). The empowerment tradition in American social work: A history. Columbia University Press.
SongJ.ZhuY.ChuX.YangX. (2024). Research on the vitality of public spaces in tourist villages through social network analysis: A case study of mochou village in Hubei, China. Land, 13(3), 359. https://doi.org/10.3390/land13030359
56.
TeaterB. (2019). An introduction to applying social work theories and methods 3e. McGraw-Hill Education.
57.
UngarM. (2002). A deeper, more social ecological social work practice. Social Service Review, 76(3), 480–497. https://doi.org/10.1086/341185
58.
ValenteT. W.CorongesK.LakonC.CostenbaderE. (2008). How correlated are network centrality measures?Connections (Toronto, Ont.), 28(1), 16.
WalshK.O'SheaE.ScharfT. (2020). Rural old-age social exclusion: A conceptual framework on mediators of exclusion across the lifecourse. Ageing & Society, 40(11), 2311–2337. https://doi.org/10.1017/S0144686X19000606
61.
WangY.HeX. (2019). Spatial economic dependency in the environmental kuznets curve of carbon dioxide: The case of China. Journal of Cleaner Production, 218(13), 498–510. https://doi.org/10.1016/j.jclepro.2019.01.318
62.
WhitchurchG. G.ConstantineL. L. (1993). Systems theory. In Sourcebook of family theories and methods: A contextual approach (pp. 325–355). Springer.
63.
WhiteH. C.BoormanS. A.BreigerR. L. (1976). Social structure from multiple networks. I. Blockmodels of roles and positions. American Journal of Sociology, 81(4), 730–780. https://doi.org/10.1086/226141
64.
YangZ.YangC.LuC.WangF.ZhouW. (2023). Diffusion between groups: The influence of social brokers on content adoption in social networks. European Journal of Marketing, 57(4), 1039–1067. https://doi.org/10.1108/EJM-11-2020-0811
65.
ZhangD.GaoW.LvY. (2020). The triple logic and choice strategy of rural revitalization in the 70 years since the founding of the people’s republic of China, based on the perspective of historical evolution. Agriculture, 10(4), 125. https://doi.org/10.3390/agriculture10040125
66.
ZhengW. (2010). A social capital perspective of innovation from individuals to nations: Where is empirical literature directing us?International Journal of Management Reviews, 12(2), 151–183. https://doi.org/10.1111/j.1468-2370.2008.00247.x
