Innovative Research Award
Matilda Maseno
Tangaza University
| Matilda Maseno |
| Affiliation |
Tangaza University |
| Country |
Kenya |
| Scopus ID |
57216825240 |
| Documents |
5 |
| Citations |
68 |
| h-index |
2 |
| Subject Area |
Social Network Analysis |
| Event |
International AI Data Scientists Award |
| ORCID |
0000-0001-9225-4371
|
Matilda Maseno, affiliated with Tangaza University in Kenya, has contributed to research activities associated with Social Network Analysis, collaborative communication systems, and computational analytical methodologies.[1] Through publication dissemination and academic participation, the researcher has demonstrated involvement in analytical research connected to information systems and network-oriented scientific studies.[2]
Abstract
This article provides an academic overview of Matilda Maseno and the scholarly contributions associated with the Innovative Research Award. The evaluation highlights publication activity, interdisciplinary engagement, citation performance, and research participation within the field of Social Network Analysis.[1] The researcher’s academic profile demonstrates emerging scholarly visibility within analytical communication and network-oriented scientific methodologies.[3]
Keywords
Social Network Analysis, Computational Sociology, Digital Communication, Data Analytics, Network Science, Information Systems, Machine Learning, Artificial Intelligence, Collaborative Networks, Computational Intelligence
Introduction
Social Network Analysis is an interdisciplinary research domain focused on understanding relational structures, interaction patterns, and communication systems within social and digital environments. Modern analytical methodologies integrate computational techniques, graph theory, and data-driven frameworks to interpret complex interaction networks.[4]
Matilda Maseno has participated in scholarly activities associated with network-oriented analytical studies and collaborative communication systems. The researcher’s academic profile reflects engagement with interdisciplinary methodologies connected to digital interaction and analytical information structures.[2]
Research Profile
The research profile of Matilda Maseno demonstrates emerging scholarly activity within Social Network Analysis and analytical communication systems. According to indexed academic records, the researcher has produced 5 scholarly documents and accumulated 68 citations, resulting in an h-index of 2.[1] These indicators reflect ongoing academic engagement and participation in interdisciplinary scientific communication.
- Total scholarly documents: 5
- Total citations: 68
- h-index value: 2
- Research specialization in Social Network Analysis
Research Contributions
The research contributions associated with Matilda Maseno include participation in analytical studies related to social interaction systems, collaborative communication frameworks, and interdisciplinary network analysis methodologies.[5] Social Network Analysis methodologies contribute significantly to understanding communication patterns, organizational interaction, and digital information dissemination.
Network-oriented computational approaches continue to support applications across digital communication, social media analytics, collaborative systems, and information science. Such methodologies integrate data science, graph-based analysis, and computational intelligence within modern analytical research environments.[4]
- Contribution to interdisciplinary Social Network Analysis research.
- Participation in analytical communication and interaction studies.
- Research dissemination through scholarly publication activity.
- Engagement with data-driven analytical methodologies.
Publications
The publication profile associated with Matilda Maseno reflects scholarly participation in Social Network Analysis and interdisciplinary analytical studies. These publications contribute to broader scientific understanding of communication systems, collaborative interaction frameworks, and network-oriented analytical methodologies.[1]
- Research publications related to Social Network Analysis methodologies.
- Studies involving digital communication and collaborative analytical systems.
- Interdisciplinary research dissemination through peer-reviewed publications.
- Academic participation in network-oriented computational research.
Research Impact
Research impact is commonly assessed through publication dissemination, citation visibility, and interdisciplinary scholarly participation. The academic profile of Matilda Maseno reflects measurable scientific engagement through indexed research publications and citation activity.[1]
Social Network Analysis continues to support advancements in communication research, digital systems, computational sociology, and information science. Contributions within these domains contribute to the broader understanding of interconnected systems and analytical interaction frameworks.[5]
Award Suitability
The Innovative Research Award recognizes emerging scholarly excellence, analytical innovation, and interdisciplinary scientific engagement. Matilda Maseno’s academic profile aligns with these recognition criteria through publication activity, citation performance, and participation in Social Network Analysis research methodologies.[3]
Recognition through international academic award platforms contributes to broader scientific visibility and encourages continued advancement in computational communication systems and analytical network science research.
Conclusion
Matilda Maseno has contributed to interdisciplinary research associated with Social Network Analysis, analytical communication systems, and network-oriented scientific methodologies. The researcher’s publication activity and citation profile demonstrate ongoing academic participation within contemporary analytical research environments. The Innovative Research Award recognizes these contributions and highlights the growing importance of network science and computational analytical methodologies within global research communities.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Matilda Maseno, Author ID 57216825240. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57216825240
- Google Scholar. (n.d.). Scholar profile: Matilda Maseno.
https://scholar.google.com/citations?user=fL7csfUAAAAJ&hl=en
- International AI Data Scientists Award. (n.d.). Academic recognition framework and evaluation guidelines.
https://aidatascientists.com/
- Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications.
https://doi.org/10.1017/CBO9780511815478
- Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network analysis in the social sciences.
https://doi.org/10.1126/science.1165821