TY - GEN
T1 - Structure and Dynamics of a Charitable Donor Co-Attendance Network
AU - Srikanta, Shwetha Koushik Manchinahalli
AU - Pierce, Katie L.
AU - Introne, Joshua E.
AU - Mohan, Chilukuri K.
AU - Soundarajan, Sucheta
N1 - Publisher Copyright:
© 2023 Owner/Author(s).
PY - 2023/11/6
Y1 - 2023/11/6
N2 - The dynamics of charitable donor co-attendance networks can help fundraisers assess and improve fundraising outcomes. To improve understanding of donor-giving patterns, this study examines a large, multi-year network describing the co-attendance of donors at charitable fundraising events. We analyze the dynamics of co-attendance networks based on their topological structure, shift in node characteristics, and various network properties. Among other results, we observe a 76% increase in giving value for donors that showed increased centrality rank over nonoverlapped snapshots. In the data we examined, 19.14% of the donors whose giving increased and 16.24% of donors that remained in the same giving range exhibited increased co-attendance with high-capacity donors, whereas none of the donors that shifted to a lower class exhibited increased co-attendance with high-capacity donors over the periods, potentially illustrating a positive peer effect on donors. Some similarity was also observed in the giving characteristics of donors who co-attend events, with a 0.211 assortativity coefficient for the giving class of donors as a characteristic of donors when considering network dynamics using a rolling window size of 3 years. This is followed by analyzing the group-level similarities that reveal an interlinked clique of communities with diverse sizes. Our results show that large communities have a higher fraction of wealthy donors.
AB - The dynamics of charitable donor co-attendance networks can help fundraisers assess and improve fundraising outcomes. To improve understanding of donor-giving patterns, this study examines a large, multi-year network describing the co-attendance of donors at charitable fundraising events. We analyze the dynamics of co-attendance networks based on their topological structure, shift in node characteristics, and various network properties. Among other results, we observe a 76% increase in giving value for donors that showed increased centrality rank over nonoverlapped snapshots. In the data we examined, 19.14% of the donors whose giving increased and 16.24% of donors that remained in the same giving range exhibited increased co-attendance with high-capacity donors, whereas none of the donors that shifted to a lower class exhibited increased co-attendance with high-capacity donors over the periods, potentially illustrating a positive peer effect on donors. Some similarity was also observed in the giving characteristics of donors who co-attend events, with a 0.211 assortativity coefficient for the giving class of donors as a characteristic of donors when considering network dynamics using a rolling window size of 3 years. This is followed by analyzing the group-level similarities that reveal an interlinked clique of communities with diverse sizes. Our results show that large communities have a higher fraction of wealthy donors.
KW - charitable donations
KW - co-attendance networks
KW - fundraising
KW - network dynamics
UR - http://www.scopus.com/inward/record.url?scp=85190627878&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190627878&partnerID=8YFLogxK
U2 - 10.1145/3625007.3627295
DO - 10.1145/3625007.3627295
M3 - Conference contribution
AN - SCOPUS:85190627878
T3 - Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023
SP - 514
EP - 521
BT - Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023
A2 - Aditya Prakash, B.
A2 - Wang, Dong
A2 - Weninger, Tim
PB - Association for Computing Machinery, Inc
T2 - 15th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023
Y2 - 6 November 2023 through 9 November 2023
ER -