Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: EXTRA: Explaining Team Recommendation in Networks   State-of-the-art in network science of teams offers effective recommendation
methods to answer questions like who is the best replacement, what is the best
team expansion strategy, but lacks intuitive ways to explain why the
optimization algorithm gives the specific recommendation for a given team
optimization scenario. To tackle this problem, we develop an interactive
prototype system, EXTRA, as the first step towards addressing such a
sense-making challenge, through the lens of the underlying network where teams
embed, to explain the team recommendation results. The main advantages are (1)
Algorithm efficacy: we propose an effective and fast algorithm to explain
random walk graph kernel, the central technique for networked team
recommendation; (2) Intuitive visual explanation: we present intuitive visual
analysis of the recommendation results, which can help users better understand
the rationality of the underlying team recommendation algorithm.

11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio